FUSTr: a tool to find gene families under selection in transcriptomes

Background The recent proliferation of large amounts of biodiversity transcriptomic data has resulted in an ever-expanding need for scalable and user-friendly tools capable of answering large scale molecular evolution questions. FUSTr identifies gene families involved in the process of adaptation. T...

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Main Authors: T. Jeffrey Cole, Michael S. Brewer
Format: Article
Language:English
Published: PeerJ Inc. 2018-01-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/4234.pdf
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author T. Jeffrey Cole
Michael S. Brewer
author_facet T. Jeffrey Cole
Michael S. Brewer
author_sort T. Jeffrey Cole
collection DOAJ
description Background The recent proliferation of large amounts of biodiversity transcriptomic data has resulted in an ever-expanding need for scalable and user-friendly tools capable of answering large scale molecular evolution questions. FUSTr identifies gene families involved in the process of adaptation. This is a tool that finds genes in transcriptomic datasets under strong positive selection that automatically detects isoform designation patterns in transcriptome assemblies to maximize phylogenetic independence in downstream analysis. Results When applied to previously studied spider transcriptomic data as well as simulated data, FUSTr successfully grouped coding sequences into proper gene families as well as correctly identified those under strong positive selection in relatively little time. Conclusions FUSTr provides a useful tool for novice bioinformaticians to characterize the molecular evolution of organisms throughout the tree of life using large transcriptomic biodiversity datasets and can utilize multi-processor high-performance computational facilities.
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spelling doaj.art-ac1fb323d49e443d9c78917891ecf6b52023-12-02T22:00:34ZengPeerJ Inc.PeerJ2167-83592018-01-016e423410.7717/peerj.4234FUSTr: a tool to find gene families under selection in transcriptomesT. Jeffrey Cole0Michael S. Brewer1Department of Biology, East Carolina University, Greenville, NC, United States of AmericaDepartment of Biology, East Carolina University, Greenville, NC, United States of AmericaBackground The recent proliferation of large amounts of biodiversity transcriptomic data has resulted in an ever-expanding need for scalable and user-friendly tools capable of answering large scale molecular evolution questions. FUSTr identifies gene families involved in the process of adaptation. This is a tool that finds genes in transcriptomic datasets under strong positive selection that automatically detects isoform designation patterns in transcriptome assemblies to maximize phylogenetic independence in downstream analysis. Results When applied to previously studied spider transcriptomic data as well as simulated data, FUSTr successfully grouped coding sequences into proper gene families as well as correctly identified those under strong positive selection in relatively little time. Conclusions FUSTr provides a useful tool for novice bioinformaticians to characterize the molecular evolution of organisms throughout the tree of life using large transcriptomic biodiversity datasets and can utilize multi-processor high-performance computational facilities.https://peerj.com/articles/4234.pdfTranscriptomicsPositive selectionMolecular evolutionGene family reconstruction
spellingShingle T. Jeffrey Cole
Michael S. Brewer
FUSTr: a tool to find gene families under selection in transcriptomes
PeerJ
Transcriptomics
Positive selection
Molecular evolution
Gene family reconstruction
title FUSTr: a tool to find gene families under selection in transcriptomes
title_full FUSTr: a tool to find gene families under selection in transcriptomes
title_fullStr FUSTr: a tool to find gene families under selection in transcriptomes
title_full_unstemmed FUSTr: a tool to find gene families under selection in transcriptomes
title_short FUSTr: a tool to find gene families under selection in transcriptomes
title_sort fustr a tool to find gene families under selection in transcriptomes
topic Transcriptomics
Positive selection
Molecular evolution
Gene family reconstruction
url https://peerj.com/articles/4234.pdf
work_keys_str_mv AT tjeffreycole fustratooltofindgenefamiliesunderselectionintranscriptomes
AT michaelsbrewer fustratooltofindgenefamiliesunderselectionintranscriptomes