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

ECU Author/Contributor (non-ECU co-authors, if there are any, appear on document)

T. Jeffrey,Brewer,Michael S. Cole (Creator)

Institution

East Carolina University (ECU )

Web Site: http://www.ecu.edu/lib/

Abstract: Background. The recent proliferation of large amounts of biodiversity transcriptomicdata has resulted in an ever-expanding need for scalable and user-friendly tools capableof answering large scale molecular evolution questions. FUSTr identifies gene familiesinvolved in the process of adaptation. This is a tool that finds genes in transcriptomicdatasets under strong positive selection that automatically detects isoform designationpatterns in transcriptome assemblies to maximize phylogenetic independence indownstream analysis.Results. When applied to previously studied spider transcriptomic data as well assimulated data, FUSTr successfully grouped coding sequences into proper gene familiesas well as correctly identified those under strong positive selection in relatively littletime.Conclusions. FUSTr provides a useful tool for novice bioinformaticians to characterize the molecular evolution of organisms throughout the tree of life using largetranscriptomic biodiversity datasets and can utilize multi-processor high-performancecomputational facilities.

Additional Information

Publication

Other

Language: English

Date: 2018

Keywords

Transcriptomics, Positive selection, Molecular evolution, Gene family reconstruction

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