Bioinformatics for Microbiome Research: Concepts, Strategies, and Advances

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388971%3A_____%2F17%3A00506523" target="_blank" >RIV/61388971:_____/17:00506523 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-59997-7_7" target="_blank" >http://dx.doi.org/10.1007/978-3-319-59997-7_7</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-59997-7_7" target="_blank" >10.1007/978-3-319-59997-7_7</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Bioinformatics for Microbiome Research: Concepts, Strategies, and Advances

Popis výsledku v původním jazyce

Advances in next-generation sequencing technologies allow comparative analyses of the diversity and abundance of whole microbial communities, and of important ecosystem functional genes, at far greater depths than ever before. However, the current major challenge for the use of this immense amount of genetic information is undoubtedly how to convert the information into rational biological conclusions. As an attempt to solve this issue, we now rely on a set of complex computational/statistical analyses, the use of which, however, could be a drawback for most researchers in the biological sciences. In this chapter, we outline the main approaches applied for microbiome studies based on high-throughput sequencing technologies and we introduce the most commonly used strategies for data handling, sequence clustering, taxonomic and functional assignment, and microbial community comparisons. We also draw readers' attention to recent advances in the microbiome research field, illustrating the Brazilian case.

Název v anglickém jazyce

Bioinformatics for Microbiome Research: Concepts, Strategies, and Advances

Popis výsledku anglicky

Advances in next-generation sequencing technologies allow comparative analyses of the diversity and abundance of whole microbial communities, and of important ecosystem functional genes, at far greater depths than ever before. However, the current major challenge for the use of this immense amount of genetic information is undoubtedly how to convert the information into rational biological conclusions. As an attempt to solve this issue, we now rely on a set of complex computational/statistical analyses, the use of which, however, could be a drawback for most researchers in the biological sciences. In this chapter, we outline the main approaches applied for microbiome studies based on high-throughput sequencing technologies and we introduce the most commonly used strategies for data handling, sequence clustering, taxonomic and functional assignment, and microbial community comparisons. We also draw readers' attention to recent advances in the microbiome research field, illustrating the Brazilian case.

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

10606 - Microbiology

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

The Brazilian Microbiome

ISBN

978-3-319-59995-3

Počet stran výsledku

13

Strana od-do

111-123

Počet stran knihy

123

Název nakladatele

Springer

Místo vydání

Cham

Kód UT WoS kapitoly

000439315400008