Cargando…

Rigorous Statistical Methods for Rigorous Microbiome Science

High-throughput sequencing has facilitated discovery in microbiome science, but distinguishing true discoveries from spurious signals can be challenging. The Statistical Diversity Lab develops rigorous statistical methods and statistical software for the analysis of microbiome and biodiversity data....

Descripción completa

Detalles Bibliográficos
Autor principal: Willis, Amy D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6584874/
https://www.ncbi.nlm.nih.gov/pubmed/31138722
http://dx.doi.org/10.1128/mSystems.00117-19
_version_ 1783428595454050304
author Willis, Amy D.
author_facet Willis, Amy D.
author_sort Willis, Amy D.
collection PubMed
description High-throughput sequencing has facilitated discovery in microbiome science, but distinguishing true discoveries from spurious signals can be challenging. The Statistical Diversity Lab develops rigorous statistical methods and statistical software for the analysis of microbiome and biodiversity data. Developing statistical methods that produce valid P values requires thoughtful modeling and careful validation, but careful statistical analysis reduces the risk of false discoveries and increases scientific understanding.
format Online
Article
Text
id pubmed-6584874
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher American Society for Microbiology
record_format MEDLINE/PubMed
spelling pubmed-65848742019-07-03 Rigorous Statistical Methods for Rigorous Microbiome Science Willis, Amy D. mSystems Perspective High-throughput sequencing has facilitated discovery in microbiome science, but distinguishing true discoveries from spurious signals can be challenging. The Statistical Diversity Lab develops rigorous statistical methods and statistical software for the analysis of microbiome and biodiversity data. Developing statistical methods that produce valid P values requires thoughtful modeling and careful validation, but careful statistical analysis reduces the risk of false discoveries and increases scientific understanding. American Society for Microbiology 2019-05-28 /pmc/articles/PMC6584874/ /pubmed/31138722 http://dx.doi.org/10.1128/mSystems.00117-19 Text en Copyright © 2019 Willis. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Perspective
Willis, Amy D.
Rigorous Statistical Methods for Rigorous Microbiome Science
title Rigorous Statistical Methods for Rigorous Microbiome Science
title_full Rigorous Statistical Methods for Rigorous Microbiome Science
title_fullStr Rigorous Statistical Methods for Rigorous Microbiome Science
title_full_unstemmed Rigorous Statistical Methods for Rigorous Microbiome Science
title_short Rigorous Statistical Methods for Rigorous Microbiome Science
title_sort rigorous statistical methods for rigorous microbiome science
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6584874/
https://www.ncbi.nlm.nih.gov/pubmed/31138722
http://dx.doi.org/10.1128/mSystems.00117-19
work_keys_str_mv AT willisamyd rigorousstatisticalmethodsforrigorousmicrobiomescience