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PhenStat: A Tool Kit for Standardized Analysis of High Throughput Phenotypic Data
The lack of reproducibility with animal phenotyping experiments is a growing concern among the biomedical community. One contributing factor is the inadequate description of statistical analysis methods that prevents researchers from replicating results even when the original data are provided. Here...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4493137/ https://www.ncbi.nlm.nih.gov/pubmed/26147094 http://dx.doi.org/10.1371/journal.pone.0131274 |
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author | Kurbatova, Natalja Mason, Jeremy C. Morgan, Hugh Meehan, Terrence F. Karp, Natasha A. |
author_facet | Kurbatova, Natalja Mason, Jeremy C. Morgan, Hugh Meehan, Terrence F. Karp, Natasha A. |
author_sort | Kurbatova, Natalja |
collection | PubMed |
description | The lack of reproducibility with animal phenotyping experiments is a growing concern among the biomedical community. One contributing factor is the inadequate description of statistical analysis methods that prevents researchers from replicating results even when the original data are provided. Here we present PhenStat – a freely available R package that provides a variety of statistical methods for the identification of phenotypic associations. The methods have been developed for high throughput phenotyping pipelines implemented across various experimental designs with an emphasis on managing temporal variation. PhenStat is targeted to two user groups: small-scale users who wish to interact and test data from large resources and large-scale users who require an automated statistical analysis pipeline. The software provides guidance to the user for selecting appropriate analysis methods based on the dataset and is designed to allow for additions and modifications as needed. The package was tested on mouse and rat data and is used by the International Mouse Phenotyping Consortium (IMPC). By providing raw data and the version of PhenStat used, resources like the IMPC give users the ability to replicate and explore results within their own computing environment. |
format | Online Article Text |
id | pubmed-4493137 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44931372015-07-15 PhenStat: A Tool Kit for Standardized Analysis of High Throughput Phenotypic Data Kurbatova, Natalja Mason, Jeremy C. Morgan, Hugh Meehan, Terrence F. Karp, Natasha A. PLoS One Research Article The lack of reproducibility with animal phenotyping experiments is a growing concern among the biomedical community. One contributing factor is the inadequate description of statistical analysis methods that prevents researchers from replicating results even when the original data are provided. Here we present PhenStat – a freely available R package that provides a variety of statistical methods for the identification of phenotypic associations. The methods have been developed for high throughput phenotyping pipelines implemented across various experimental designs with an emphasis on managing temporal variation. PhenStat is targeted to two user groups: small-scale users who wish to interact and test data from large resources and large-scale users who require an automated statistical analysis pipeline. The software provides guidance to the user for selecting appropriate analysis methods based on the dataset and is designed to allow for additions and modifications as needed. The package was tested on mouse and rat data and is used by the International Mouse Phenotyping Consortium (IMPC). By providing raw data and the version of PhenStat used, resources like the IMPC give users the ability to replicate and explore results within their own computing environment. Public Library of Science 2015-07-06 /pmc/articles/PMC4493137/ /pubmed/26147094 http://dx.doi.org/10.1371/journal.pone.0131274 Text en © 2015 Kurbatova et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Kurbatova, Natalja Mason, Jeremy C. Morgan, Hugh Meehan, Terrence F. Karp, Natasha A. PhenStat: A Tool Kit for Standardized Analysis of High Throughput Phenotypic Data |
title | PhenStat: A Tool Kit for Standardized Analysis of High Throughput Phenotypic Data |
title_full | PhenStat: A Tool Kit for Standardized Analysis of High Throughput Phenotypic Data |
title_fullStr | PhenStat: A Tool Kit for Standardized Analysis of High Throughput Phenotypic Data |
title_full_unstemmed | PhenStat: A Tool Kit for Standardized Analysis of High Throughput Phenotypic Data |
title_short | PhenStat: A Tool Kit for Standardized Analysis of High Throughput Phenotypic Data |
title_sort | phenstat: a tool kit for standardized analysis of high throughput phenotypic data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4493137/ https://www.ncbi.nlm.nih.gov/pubmed/26147094 http://dx.doi.org/10.1371/journal.pone.0131274 |
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