NP URI: www.nobleprog.com/microbial-genomics/training/dallas Undefined property: stdClass::$tags /apps/hitra7/npfrontend/includes/functions/course-prices.php:323 Array ( [0] => Array ( [file] => /apps/hitra7/npfrontend/includes/functions/course-prices.php [line] => 323 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined property: stdClass::$tags [2] => /apps/hitra7/npfrontend/includes/functions/course-prices.php [3] => 323 ) ) [1] => Array ( [file] => /apps/hitra7/npfrontend/includes/functions/course-prices.php [line] => 15 [function] => course_price_get_price [args] => Array ( [0] => stdClass Object ( [course_code] => mgmint [hr_nid] => 113079 [title] => Introduction to Microbial Genomics & Metagenomics [requirements] =>

There are no special preparations needed for this course other than familiarity with general biological concepts and an interest in learning analysis of DNA sequence data for microbial genomics.

[overview] => This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics. Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics. Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%).
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection. However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. [category_overview] => [outline] =>

The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
The major topics to be covered will include:

16S/18S metagenomics and species identification.
Multi locus sequence typing.
SNPs and plasmids profiling.
SNPs based phylogeny.
Prediction of antibiotics resistant mechanism.

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There are no special preparations needed for this course other than familiarity with general biological concepts and an interest in learning analysis of DNA sequence data for microbial genomics.

[overview] => This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics. Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics. Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%).
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection. However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. [category_overview] => [outline] =>

The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
The major topics to be covered will include:

16S/18S metagenomics and species identification.
Multi locus sequence typing.
SNPs and plasmids profiling.
SNPs based phylogeny.
Prediction of antibiotics resistant mechanism.

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There are no special preparations needed for this course other than familiarity with general biological concepts and an interest in learning analysis of DNA sequence data for microbial genomics.

[overview] => This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics. Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics. Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%).
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection. However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. [category_overview] => [outline] =>

The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
The major topics to be covered will include:

16S/18S metagenomics and species identification.
Multi locus sequence typing.
SNPs and plasmids profiling.
SNPs based phylogeny.
Prediction of antibiotics resistant mechanism.

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There are no special preparations needed for this course other than familiarity with general biological concepts and an interest in learning analysis of DNA sequence data for microbial genomics.

[overview] => This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics. Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics. Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%).
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection. However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. [category_overview] => [outline] =>

The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
The major topics to be covered will include:

16S/18S metagenomics and species identification.
Multi locus sequence typing.
SNPs and plasmids profiling.
SNPs based phylogeny.
Prediction of antibiotics resistant mechanism.

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There are no special preparations needed for this course other than familiarity with general biological concepts and an interest in learning analysis of DNA sequence data for microbial genomics.

[overview] => This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics. Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics. Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%).
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection. However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. [category_overview] => [outline] =>

The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
The major topics to be covered will include:

16S/18S metagenomics and species identification.
Multi locus sequence typing.
SNPs and plasmids profiling.
SNPs based phylogeny.
Prediction of antibiotics resistant mechanism.

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There are no special preparations needed for this course other than familiarity with general biological concepts and an interest in learning analysis of DNA sequence data for microbial genomics.

[overview] => This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics. Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics. Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%).
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection. However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. [category_overview] => [outline] =>

The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
The major topics to be covered will include:

16S/18S metagenomics and species identification.
Multi locus sequence typing.
SNPs and plasmids profiling.
SNPs based phylogeny.
Prediction of antibiotics resistant mechanism.

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There are no special preparations needed for this course other than familiarity with general biological concepts and an interest in learning analysis of DNA sequence data for microbial genomics.

[overview] => This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics. Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics. Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%).
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection. However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. [category_overview] => [outline] =>

The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
The major topics to be covered will include:

16S/18S metagenomics and species identification.
Multi locus sequence typing.
SNPs and plasmids profiling.
SNPs based phylogeny.
Prediction of antibiotics resistant mechanism.

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[region_id] => us_268 [region_name] => Dallas [url_path_mapper] => dallas [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [13] => Array ( [region_id] => us_204 [region_name] => Delaware [url_path_mapper] => delaware [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [14] => Array ( [region_id] => us_181 [region_name] => Denver [url_path_mapper] => denver [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [15] => Array ( [region_id] => us_170 [region_name] => Detroit [url_path_mapper] => detroit [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [16] => Array ( [region_id] => us_164 [region_name] => Florida [url_path_mapper] => florida [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [17] => Array ( [region_id] => us_173 [region_name] => Georgia [url_path_mapper] => georgia [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [18] => Array ( [region_id] => us_348 [region_name] => Hawaii [url_path_mapper] => hawaii [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [19] => Array ( [region_id] => us_162 [region_name] => Houston [url_path_mapper] => houston [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [20] => Array ( [region_id] => us_207 [region_name] => Indiana [url_path_mapper] => indiana [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [21] => Array ( [region_id] => us_208 [region_name] => Iowa [url_path_mapper] => iowa [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [22] => Array ( [region_id] => us_183 [region_name] => Jersey City [url_path_mapper] => jersey-city [locative_case_name] => [language] => en [sales_area] => 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[28] => Array ( [region_id] => us_211 [region_name] => Louisiana [url_path_mapper] => louisiana [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [29] => Array ( [region_id] => us_171 [region_name] => Maryland [url_path_mapper] => maryland [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [30] => Array ( [region_id] => us_152 [region_name] => Massachusetts [url_path_mapper] => massachusetts [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [31] => Array ( [region_id] => us_169 [region_name] => Michigan [url_path_mapper] => michigan [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [32] => Array ( [region_id] => us_237 [region_name] => Milwaukee [url_path_mapper] => milwaukee [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [33] => Array ( [region_id] => us_179 [region_name] => Minneapolis [url_path_mapper] => minneapolis [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [34] => Array ( [region_id] => us_178 [region_name] => Minnesota [url_path_mapper] => minnesota [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [35] => Array ( [region_id] => us_214 [region_name] => Mississippi [url_path_mapper] => mississippi [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [36] => Array ( [region_id] => us_218 [region_name] => Nevada [url_path_mapper] => nevada [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [37] => Array ( [region_id] => us_219 [region_name] => New Hampshire [url_path_mapper] => new-hampshire [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [38] => Array ( [region_id] => us_133 [region_name] => New Jersey [url_path_mapper] => new-jersey [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [39] => Array ( [region_id] => us_130 [region_name] => New York [url_path_mapper] => new-york [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [40] => Array ( [region_id] => us_346 [region_name] => New York City [url_path_mapper] => new-york-city [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [41] => Array ( [region_id] => us_221 [region_name] => North Carolina [url_path_mapper] => north-carolina [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [42] => Array ( [region_id] => us_155 [region_name] => Ohio [url_path_mapper] => ohio [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [43] => Array ( [region_id] => us_225 [region_name] => Oregon [url_path_mapper] => oregon [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [44] => Array ( [region_id] => us_266 [region_name] => Phoenix [url_path_mapper] => phoenix [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [45] => Array ( [region_id] => us_226 [region_name] => Rhode Island [url_path_mapper] => rhode-island [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [46] => Array ( [region_id] => us_149 [region_name] => Sacramento [url_path_mapper] => sacramento [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [47] => Array ( [region_id] => us_148 [region_name] => San Diego [url_path_mapper] => san-diego [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [48] => Array ( [region_id] => us_131 [region_name] => San Francisco Bay Area [url_path_mapper] => san-francisco-bay-area [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [49] => Array ( [region_id] => us_132 [region_name] => Seattle [url_path_mapper] => seattle [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [50] => Array ( [region_id] => us_227 [region_name] => South Carolina [url_path_mapper] => south-carolina [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [51] => Array ( [region_id] => us_158 [region_name] => Virginia [url_path_mapper] => virginia [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [52] => Array ( [region_id] => us_262 [region_name] => Washington D.C. [url_path_mapper] => washington-dc [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) ) [1] => Array ( [0] => stdClass Object ( [course_code] => mgmint [hr_nid] => 113079 [title] => Introduction to Microbial Genomics & Metagenomics [requirements] =>

There are no special preparations needed for this course other than familiarity with general biological concepts and an interest in learning analysis of DNA sequence data for microbial genomics.

[overview] => This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics. Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics. Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%).
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection. However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. [category_overview] => [outline] =>

The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
The major topics to be covered will include:

16S/18S metagenomics and species identification.
Multi locus sequence typing.
SNPs and plasmids profiling.
SNPs based phylogeny.
Prediction of antibiotics resistant mechanism.

[language] => en [duration] => 21 [status] => published [changed] => 1700037180 [source_title] => Introduction to Microbial Genomics & Metagenomics [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => hitraae,hitraqa,hitraeg,hitrasa,hitraza,hitrama,hitratn,hitrakw,hitraom,hitrake,hitrang,hitrabw [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => [title_field] => ) [cc] => mgmint ) ) [2] => Array ( [region_id] => us_268 [region_name] => Dallas [url_path_mapper] => dallas [locative_case_name] => [language] => en [region_publish_status] => 1 [sales_area] => us_united_states [parent_region] => ) ) ) [5] => Array ( [file] => /apps/hitra7/npfrontend/modules/category_region/category_region.php [line] => 36 [function] => category_region_logic [args] => Array ( [0] => microbial-genomics [1] => dallas ) ) [6] => Array ( [file] => /apps/hitra7/npfrontend/core/routes.php [line] => 19 [function] => category_region_menu_callback [args] => Array ( [0] => /microbial-genomics/training/dallas ) ) [7] => Array ( [file] => /apps/hitra7/npfrontend/__index.php [line] => 96 [args] => Array ( [0] => /apps/hitra7/npfrontend/core/routes.php ) [function] => require_once ) [8] => Array ( [file] => /apps/hitra7/npfrontend/_index.php [line] => 26 [args] => Array ( [0] => /apps/hitra7/npfrontend/__index.php ) [function] => include_once ) [9] => Array ( [file] => /apps/hitra7/index.php [line] => 54 [args] => Array ( [0] => /apps/hitra7/npfrontend/_index.php ) [function] => include_once ) ) NP URI: www.nobleprog.com/microbial-genomics/training/dallas Undefined property: stdClass::$tags /apps/hitra7/npfrontend/includes/functions/course-prices.php:323 Array ( [0] => Array ( [file] => /apps/hitra7/npfrontend/includes/functions/course-prices.php [line] => 323 [function] => myErrorHandler [args] => Array ( [0] => 2 [1] => Undefined property: stdClass::$tags [2] => /apps/hitra7/npfrontend/includes/functions/course-prices.php [3] => 323 ) ) [1] => Array ( [file] => /apps/hitra7/npfrontend/includes/functions/course-prices.php [line] => 15 [function] => course_price_get_price [args] => Array ( [0] => stdClass Object ( [course_code] => mgmint [hr_nid] => 113079 [title] => Introduction to Microbial Genomics & Metagenomics [requirements] =>

There are no special preparations needed for this course other than familiarity with general biological concepts and an interest in learning analysis of DNA sequence data for microbial genomics.

[overview] => This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics. Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics. Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%).
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection. However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. [category_overview] => [outline] =>

The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
The major topics to be covered will include:

16S/18S metagenomics and species identification.
Multi locus sequence typing.
SNPs and plasmids profiling.
SNPs based phylogeny.
Prediction of antibiotics resistant mechanism.

[language] => en [duration] => 21 [status] => published [changed] => 1700037180 [source_title] => Introduction to Microbial Genomics & Metagenomics [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => hitraae,hitraqa,hitraeg,hitrasa,hitraza,hitrama,hitratn,hitrakw,hitraom,hitrake,hitrang,hitrabw [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => [title_field] => ) [cc] => mgmint ) ) ) [2] => Array ( [file] => /apps/hitra7/npfrontend/includes/functions/course-schedule.php [line] => 60 [function] => course_price_virtual_event_price [args] => Array ( [0] => mgmint [1] => stdClass Object ( [course_code] => mgmint [hr_nid] => 113079 [title] => Introduction to Microbial Genomics & Metagenomics [requirements] =>

There are no special preparations needed for this course other than familiarity with general biological concepts and an interest in learning analysis of DNA sequence data for microbial genomics.

[overview] => This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics. Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics. Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%).
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection. However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. [category_overview] => [outline] =>

The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
The major topics to be covered will include:

16S/18S metagenomics and species identification.
Multi locus sequence typing.
SNPs and plasmids profiling.
SNPs based phylogeny.
Prediction of antibiotics resistant mechanism.

[language] => en [duration] => 21 [status] => published [changed] => 1700037180 [source_title] => Introduction to Microbial Genomics & Metagenomics [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => hitraae,hitraqa,hitraeg,hitrasa,hitraza,hitrama,hitratn,hitrakw,hitraom,hitrake,hitrang,hitrabw [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => [title_field] => ) [cc] => mgmint ) ) ) [3] => Array ( [file] => /apps/hitra7/npfrontend/includes/functions/category-functions.php [line] => 364 [function] => np_upcoming_courses_schedule [args] => Array ( [0] => Array ( [mgmint] => stdClass Object ( [course_code] => mgmint [hr_nid] => 113079 [title] => Introduction to Microbial Genomics & Metagenomics [requirements] =>

There are no special preparations needed for this course other than familiarity with general biological concepts and an interest in learning analysis of DNA sequence data for microbial genomics.

[overview] => This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics. Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics. Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%).
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection. However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. [category_overview] => [outline] =>

The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
The major topics to be covered will include:

16S/18S metagenomics and species identification.
Multi locus sequence typing.
SNPs and plasmids profiling.
SNPs based phylogeny.
Prediction of antibiotics resistant mechanism.

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georgia [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [18] => Array ( [region_id] => us_348 [region_name] => Hawaii [url_path_mapper] => hawaii [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [19] => Array ( [region_id] => us_162 [region_name] => Houston [url_path_mapper] => houston [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [20] => Array ( [region_id] => us_207 [region_name] => Indiana [url_path_mapper] => indiana [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [21] => Array ( [region_id] => us_208 [region_name] => Iowa [url_path_mapper] => iowa [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [22] => Array ( [region_id] => us_183 [region_name] => Jersey City [url_path_mapper] => jersey-city [locative_case_name] => [language] => en [sales_area] => 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[28] => Array ( [region_id] => us_211 [region_name] => Louisiana [url_path_mapper] => louisiana [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [29] => Array ( [region_id] => us_171 [region_name] => Maryland [url_path_mapper] => maryland [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [30] => Array ( [region_id] => us_152 [region_name] => Massachusetts [url_path_mapper] => massachusetts [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [31] => Array ( [region_id] => us_169 [region_name] => Michigan [url_path_mapper] => michigan [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [32] => Array ( [region_id] => us_237 [region_name] => Milwaukee [url_path_mapper] => milwaukee [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [33] => Array ( [region_id] => us_179 [region_name] => Minneapolis [url_path_mapper] => minneapolis [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [34] => Array ( [region_id] => us_178 [region_name] => Minnesota [url_path_mapper] => minnesota [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [35] => Array ( [region_id] => us_214 [region_name] => Mississippi [url_path_mapper] => mississippi [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [36] => Array ( [region_id] => us_218 [region_name] => Nevada [url_path_mapper] => nevada [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [37] => Array ( [region_id] => us_219 [region_name] => New Hampshire [url_path_mapper] => new-hampshire [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [38] => Array ( [region_id] => us_133 [region_name] => New Jersey 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[locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [44] => Array ( [region_id] => us_266 [region_name] => Phoenix [url_path_mapper] => phoenix [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [45] => Array ( [region_id] => us_226 [region_name] => Rhode Island [url_path_mapper] => rhode-island [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [46] => Array ( [region_id] => us_149 [region_name] => Sacramento [url_path_mapper] => sacramento [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [47] => Array ( [region_id] => us_148 [region_name] => San Diego [url_path_mapper] => san-diego [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [48] => Array ( [region_id] => us_131 [region_name] => San Francisco Bay Area [url_path_mapper] => san-francisco-bay-area 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[url_path_mapper] => washington-dc [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) ) [1] => Array ( [0] => stdClass Object ( [course_code] => mgmint [hr_nid] => 113079 [title] => Introduction to Microbial Genomics & Metagenomics [requirements] =>

There are no special preparations needed for this course other than familiarity with general biological concepts and an interest in learning analysis of DNA sequence data for microbial genomics.

[overview] => This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics. Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics. Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%).
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection. However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. [category_overview] => [outline] =>

The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
The major topics to be covered will include:

16S/18S metagenomics and species identification.
Multi locus sequence typing.
SNPs and plasmids profiling.
SNPs based phylogeny.
Prediction of antibiotics resistant mechanism.

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There are no special preparations needed for this course other than familiarity with general biological concepts and an interest in learning analysis of DNA sequence data for microbial genomics.

[overview] => This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics. Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics. Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%).
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection. However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. [category_overview] => [outline] =>

The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
The major topics to be covered will include:

16S/18S metagenomics and species identification.
Multi locus sequence typing.
SNPs and plasmids profiling.
SNPs based phylogeny.
Prediction of antibiotics resistant mechanism.

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There are no special preparations needed for this course other than familiarity with general biological concepts and an interest in learning analysis of DNA sequence data for microbial genomics.

[overview] => This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics. Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics. Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%).
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection. However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. [category_overview] => [outline] =>

The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
The major topics to be covered will include:

16S/18S metagenomics and species identification.
Multi locus sequence typing.
SNPs and plasmids profiling.
SNPs based phylogeny.
Prediction of antibiotics resistant mechanism.

[language] => en [duration] => 21 [status] => published [changed] => 1700037180 [source_title] => Introduction to Microbial Genomics & Metagenomics [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => hitraae,hitraqa,hitraeg,hitrasa,hitraza,hitrama,hitratn,hitrakw,hitraom,hitrake,hitrang,hitrabw [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => [title_field] => ) [cc] => mgmint ) ) ) [3] => Array ( [file] => /apps/hitra7/npfrontend/includes/functions/category-functions.php [line] => 364 [function] => np_upcoming_courses_schedule [args] => Array ( [0] => Array ( [mgmint] => stdClass Object ( [course_code] => mgmint [hr_nid] => 113079 [title] => Introduction to Microbial Genomics & Metagenomics [requirements] =>

There are no special preparations needed for this course other than familiarity with general biological concepts and an interest in learning analysis of DNA sequence data for microbial genomics.

[overview] => This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics. Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics. Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%).
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection. However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. [category_overview] => [outline] =>

The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
The major topics to be covered will include:

16S/18S metagenomics and species identification.
Multi locus sequence typing.
SNPs and plasmids profiling.
SNPs based phylogeny.
Prediction of antibiotics resistant mechanism.

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[28] => Array ( [region_id] => us_211 [region_name] => Louisiana [url_path_mapper] => louisiana [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [29] => Array ( [region_id] => us_171 [region_name] => Maryland [url_path_mapper] => maryland [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [30] => Array ( [region_id] => us_152 [region_name] => Massachusetts [url_path_mapper] => massachusetts [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [31] => Array ( [region_id] => us_169 [region_name] => Michigan [url_path_mapper] => michigan [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [32] => Array ( [region_id] => us_237 [region_name] => Milwaukee [url_path_mapper] => milwaukee [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [33] => Array ( [region_id] => us_179 [region_name] => Minneapolis [url_path_mapper] => minneapolis [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [34] => Array ( [region_id] => us_178 [region_name] => Minnesota [url_path_mapper] => minnesota [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [35] => Array ( [region_id] => us_214 [region_name] => Mississippi [url_path_mapper] => mississippi [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [36] => Array ( [region_id] => us_218 [region_name] => Nevada [url_path_mapper] => nevada [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [37] => Array ( [region_id] => us_219 [region_name] => New Hampshire [url_path_mapper] => new-hampshire [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [38] => Array ( [region_id] => us_133 [region_name] => New Jersey 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[locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [44] => Array ( [region_id] => us_266 [region_name] => Phoenix [url_path_mapper] => phoenix [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [45] => Array ( [region_id] => us_226 [region_name] => Rhode Island [url_path_mapper] => rhode-island [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [46] => Array ( [region_id] => us_149 [region_name] => Sacramento [url_path_mapper] => sacramento [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [47] => Array ( [region_id] => us_148 [region_name] => San Diego [url_path_mapper] => san-diego [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [48] => Array ( [region_id] => us_131 [region_name] => San Francisco Bay Area [url_path_mapper] => san-francisco-bay-area [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [49] => Array ( [region_id] => us_132 [region_name] => Seattle [url_path_mapper] => seattle [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [50] => Array ( [region_id] => us_227 [region_name] => South Carolina [url_path_mapper] => south-carolina [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [51] => Array ( [region_id] => us_158 [region_name] => Virginia [url_path_mapper] => virginia [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [52] => Array ( [region_id] => us_262 [region_name] => Washington D.C. [url_path_mapper] => washington-dc [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) ) [1] => Array ( [0] => stdClass Object ( [course_code] => mgmint [hr_nid] => 113079 [title] => Introduction to Microbial Genomics & Metagenomics [requirements] =>

There are no special preparations needed for this course other than familiarity with general biological concepts and an interest in learning analysis of DNA sequence data for microbial genomics.

[overview] => This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics. Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics. Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%).
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection. However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. [category_overview] => [outline] =>

The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
The major topics to be covered will include:

16S/18S metagenomics and species identification.
Multi locus sequence typing.
SNPs and plasmids profiling.
SNPs based phylogeny.
Prediction of antibiotics resistant mechanism.

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There are no special preparations needed for this course other than familiarity with general biological concepts and an interest in learning analysis of DNA sequence data for microbial genomics.

[overview] => This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics. Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics. Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%).
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection. However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. [category_overview] => [outline] =>

The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
The major topics to be covered will include:

16S/18S metagenomics and species identification.
Multi locus sequence typing.
SNPs and plasmids profiling.
SNPs based phylogeny.
Prediction of antibiotics resistant mechanism.

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There are no special preparations needed for this course other than familiarity with general biological concepts and an interest in learning analysis of DNA sequence data for microbial genomics.

[overview] => This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics. Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics. Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%).
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection. However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. [category_overview] => [outline] =>

The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
The major topics to be covered will include:

16S/18S metagenomics and species identification.
Multi locus sequence typing.
SNPs and plasmids profiling.
SNPs based phylogeny.
Prediction of antibiotics resistant mechanism.

[language] => en [duration] => 21 [status] => published [changed] => 1700037180 [source_title] => Introduction to Microbial Genomics & Metagenomics [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => hitraae,hitraqa,hitraeg,hitrasa,hitraza,hitrama,hitratn,hitrakw,hitraom,hitrake,hitrang,hitrabw [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => [title_field] => ) [cc] => mgmint ) ) ) [3] => Array ( [file] => /apps/hitra7/npfrontend/includes/functions/category-functions.php [line] => 364 [function] => np_upcoming_courses_schedule [args] => Array ( [0] => Array ( [mgmint] => stdClass Object ( [course_code] => mgmint [hr_nid] => 113079 [title] => Introduction to Microbial Genomics & Metagenomics [requirements] =>

There are no special preparations needed for this course other than familiarity with general biological concepts and an interest in learning analysis of DNA sequence data for microbial genomics.

[overview] => This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics. Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics. Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%).
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection. However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. [category_overview] => [outline] =>

The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
The major topics to be covered will include:

16S/18S metagenomics and species identification.
Multi locus sequence typing.
SNPs and plasmids profiling.
SNPs based phylogeny.
Prediction of antibiotics resistant mechanism.

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[url_path_mapper] => new-jersey [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [39] => Array ( [region_id] => us_130 [region_name] => New York [url_path_mapper] => new-york [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [40] => Array ( [region_id] => us_346 [region_name] => New York City [url_path_mapper] => new-york-city [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [41] => Array ( [region_id] => us_221 [region_name] => North Carolina [url_path_mapper] => north-carolina [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [42] => Array ( [region_id] => us_155 [region_name] => Ohio [url_path_mapper] => ohio [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [43] => Array ( [region_id] => us_225 [region_name] => Oregon [url_path_mapper] => oregon [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [44] => Array ( [region_id] => us_266 [region_name] => Phoenix [url_path_mapper] => phoenix [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [45] => Array ( [region_id] => us_226 [region_name] => Rhode Island [url_path_mapper] => rhode-island [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [46] => Array ( [region_id] => us_149 [region_name] => Sacramento [url_path_mapper] => sacramento [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [47] => Array ( [region_id] => us_148 [region_name] => San Diego [url_path_mapper] => san-diego [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [48] => Array ( [region_id] => us_131 [region_name] => San Francisco Bay Area [url_path_mapper] => san-francisco-bay-area [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [49] => Array ( [region_id] => us_132 [region_name] => Seattle [url_path_mapper] => seattle [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [50] => Array ( [region_id] => us_227 [region_name] => South Carolina [url_path_mapper] => south-carolina [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [51] => Array ( [region_id] => us_158 [region_name] => Virginia [url_path_mapper] => virginia [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) [52] => Array ( [region_id] => us_262 [region_name] => Washington D.C. [url_path_mapper] => washington-dc [locative_case_name] => [language] => en [sales_area] => us_united_states [parent_region] => ) ) [1] => Array ( [0] => stdClass Object ( [course_code] => mgmint [hr_nid] => 113079 [title] => Introduction to Microbial Genomics & Metagenomics [requirements] =>

There are no special preparations needed for this course other than familiarity with general biological concepts and an interest in learning analysis of DNA sequence data for microbial genomics.

[overview] => This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics. Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics. Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%).
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection. However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. [category_overview] => [outline] =>

The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
The major topics to be covered will include:

16S/18S metagenomics and species identification.
Multi locus sequence typing.
SNPs and plasmids profiling.
SNPs based phylogeny.
Prediction of antibiotics resistant mechanism.

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There are no special preparations needed for this course other than familiarity with general biological concepts and an interest in learning analysis of DNA sequence data for microbial genomics.

[overview] => This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics. Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics. Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%).
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection. However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. [category_overview] => [outline] =>

The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
The major topics to be covered will include:

16S/18S metagenomics and species identification.
Multi locus sequence typing.
SNPs and plasmids profiling.
SNPs based phylogeny.
Prediction of antibiotics resistant mechanism.

[language] => en [duration] => 21 [status] => published [changed] => 1700037180 [source_title] => Introduction to Microbial Genomics & Metagenomics [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => hitraae,hitraqa,hitraeg,hitrasa,hitraza,hitrama,hitratn,hitrakw,hitraom,hitrake,hitrang,hitrabw [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => [title_field] => ) [cc] => mgmint ) ) ) [2] => Array ( [file] => /apps/hitra7/npfrontend/includes/functions/course-schedule.php [line] => 60 [function] => course_price_virtual_event_price [args] => Array ( [0] => mgmint [1] => stdClass Object ( [course_code] => mgmint [hr_nid] => 113079 [title] => Introduction to Microbial Genomics & Metagenomics [requirements] =>

There are no special preparations needed for this course other than familiarity with general biological concepts and an interest in learning analysis of DNA sequence data for microbial genomics.

[overview] => This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics. Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics. Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%).
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection. However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. [category_overview] => [outline] =>

The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
The major topics to be covered will include:

16S/18S metagenomics and species identification.
Multi locus sequence typing.
SNPs and plasmids profiling.
SNPs based phylogeny.
Prediction of antibiotics resistant mechanism.

[language] => en [duration] => 21 [status] => published [changed] => 1700037180 [source_title] => Introduction to Microbial Genomics & Metagenomics [source_language] => en [cert_code] => [weight] => 0 [excluded_sites] => hitraae,hitraqa,hitraeg,hitrasa,hitraza,hitrama,hitratn,hitrakw,hitraom,hitrake,hitrang,hitrabw [use_mt] => stdClass Object ( [field_overview] => [field_course_outline] => [field_prerequisits] => [field_overview_in_category] => [title_field] => ) [cc] => mgmint ) ) ) [3] => Array ( [file] => /apps/hitra7/npfrontend/includes/functions/category-functions.php [line] => 364 [function] => np_upcoming_courses_schedule [args] => Array ( [0] => Array ( [mgmint] => stdClass Object ( [course_code] => mgmint [hr_nid] => 113079 [title] => Introduction to Microbial Genomics & Metagenomics [requirements] =>

There are no special preparations needed for this course other than familiarity with general biological concepts and an interest in learning analysis of DNA sequence data for microbial genomics.

[overview] => This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics. Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics. Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%).
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection. However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. [category_overview] => [outline] =>

The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
The major topics to be covered will include:

16S/18S metagenomics and species identification.
Multi locus sequence typing.
SNPs and plasmids profiling.
SNPs based phylogeny.
Prediction of antibiotics resistant mechanism.

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There are no special preparations needed for this course other than familiarity with general biological concepts and an interest in learning analysis of DNA sequence data for microbial genomics.

[overview] => This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics. Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics. Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%).
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection. However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. [category_overview] => [outline] =>

The course will highlight key web-based resources, approaches and methodologies for DNA sequence data analysis for microbial genomics.
The major topics to be covered will include:

16S/18S metagenomics and species identification.
Multi locus sequence typing.
SNPs and plasmids profiling.
SNPs based phylogeny.
Prediction of antibiotics resistant mechanism.

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Microbial Genomics Training in Dallas

Online or onsite, instructor-led live Microbial Genomics training courses demonstrate through interactive discussion and hands-on practice the fundamentals and advanced topics of Microbial Genomics.

Microbial Genomics training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Microbial Genomics training can be carried out locally on customer premises in Dallas or in NobleProg corporate training centers in Dallas.

NobleProg -- Your Local Training Provider

325 N. St. Paul Street Suite 3100, Dallas, united states, 75201

The venue is located in the iconic Republic Tower, conveniently situated in the heart of downtown Dallas, on the crossing of ...

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Introduction to Microbial Genomics & Metagenomics

21 Hours

Last Updated: 2023-11-15

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Upcoming Courses

Introduction to Microbial Genomics & Metagenomics

2024-06-11 9:30 am

TX, Dallas - Downtown Republic Center

$ 3119 (Online)

$ 4769 (Classroom)

Introduction to Microbial Genomics & Metagenomics

2024-06-25 9:30 am

TX, Dallas - Downtown Republic Center

$ 3119 (Online)

$ 4769 (Classroom)

Introduction to Microbial Genomics & Metagenomics

2024-07-09 9:30 am

TX, Dallas - Downtown Republic Center

$ 3119 (Online)

$ 4769 (Classroom)

Introduction to Microbial Genomics & Metagenomics

2024-07-23 9:30 am

TX, Dallas - Downtown Republic Center

$ 3119 (Online)

$ 4769 (Classroom)

Introduction to Microbial Genomics & Metagenomics

2024-08-06 9:30 am

TX, Dallas - Downtown Republic Center

$ 3119 (Online)

$ 4769 (Classroom)

Introduction to Microbial Genomics & Metagenomics

2024-08-20 9:30 am

TX, Dallas - Downtown Republic Center

$ 3119 (Online)

$ 4769 (Classroom)

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