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Using genome-wide expression compendia to study microorganisms

A gene expression compendium is a heterogeneous collection of gene expression experiments assembled from data collected for diverse purposes. The widely varied experimental conditions and genetic backgrounds across samples creates a tremendous opportunity for gaining a systems level understanding of...

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Detalles Bibliográficos
Autores principales: Lee, Alexandra J., Reiter, Taylor, Doing, Georgia, Oh, Julia, Hogan, Deborah A., Greene, Casey S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9396250/
https://www.ncbi.nlm.nih.gov/pubmed/36016717
http://dx.doi.org/10.1016/j.csbj.2022.08.012
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author Lee, Alexandra J.
Reiter, Taylor
Doing, Georgia
Oh, Julia
Hogan, Deborah A.
Greene, Casey S.
author_facet Lee, Alexandra J.
Reiter, Taylor
Doing, Georgia
Oh, Julia
Hogan, Deborah A.
Greene, Casey S.
author_sort Lee, Alexandra J.
collection PubMed
description A gene expression compendium is a heterogeneous collection of gene expression experiments assembled from data collected for diverse purposes. The widely varied experimental conditions and genetic backgrounds across samples creates a tremendous opportunity for gaining a systems level understanding of the transcriptional responses that influence phenotypes. Variety in experimental design is particularly important for studying microbes, where the transcriptional responses integrate many signals and demonstrate plasticity across strains including response to what nutrients are available and what microbes are present. Advances in high-throughput measurement technology have made it feasible to construct compendia for many microbes. In this review we discuss how these compendia are constructed and analyzed to reveal transcriptional patterns.
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spelling pubmed-93962502022-08-24 Using genome-wide expression compendia to study microorganisms Lee, Alexandra J. Reiter, Taylor Doing, Georgia Oh, Julia Hogan, Deborah A. Greene, Casey S. Comput Struct Biotechnol J Review Article A gene expression compendium is a heterogeneous collection of gene expression experiments assembled from data collected for diverse purposes. The widely varied experimental conditions and genetic backgrounds across samples creates a tremendous opportunity for gaining a systems level understanding of the transcriptional responses that influence phenotypes. Variety in experimental design is particularly important for studying microbes, where the transcriptional responses integrate many signals and demonstrate plasticity across strains including response to what nutrients are available and what microbes are present. Advances in high-throughput measurement technology have made it feasible to construct compendia for many microbes. In this review we discuss how these compendia are constructed and analyzed to reveal transcriptional patterns. Research Network of Computational and Structural Biotechnology 2022-08-10 /pmc/articles/PMC9396250/ /pubmed/36016717 http://dx.doi.org/10.1016/j.csbj.2022.08.012 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review Article
Lee, Alexandra J.
Reiter, Taylor
Doing, Georgia
Oh, Julia
Hogan, Deborah A.
Greene, Casey S.
Using genome-wide expression compendia to study microorganisms
title Using genome-wide expression compendia to study microorganisms
title_full Using genome-wide expression compendia to study microorganisms
title_fullStr Using genome-wide expression compendia to study microorganisms
title_full_unstemmed Using genome-wide expression compendia to study microorganisms
title_short Using genome-wide expression compendia to study microorganisms
title_sort using genome-wide expression compendia to study microorganisms
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9396250/
https://www.ncbi.nlm.nih.gov/pubmed/36016717
http://dx.doi.org/10.1016/j.csbj.2022.08.012
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