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Galaxy tools to study genome diversity
Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, PA 16802, USA.
Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, PA 16802, USA; Terreus Foundation, 3938 Trust Way, Hayward, CA 94545, USA.
Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, PA 16802, USA.
Center for Comparative Genomics and Bioinformatics, Pennsylvania State University, University Park, PA 16802, USA; Terreus Foundation, 3938 Trust Way, Hayward, CA 94545, USA.
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2013 (English)In: GigaScience, E-ISSN 2047-217X, Vol. 2, no 1, article id 17Article in journal (Refereed) Published
Abstract [en]

Background: Intra-species genetic variation can be used to investigate population structure, selection, and gene flow in non-model vertebrates; and due to the plummeting costs for genome sequencing, it is now possible for small labs to obtain full-genome variation data from their species of interest. However, those labs may not have easy access to, and familiarity with, computational tools to analyze those data.

Results: We have created a suite of tools for the Galaxy web server aimed at handling nucleotide and amino-acid polymorphisms discovered by full-genome sequencing of several individuals of the same species, or using a SNP genotyping microarray. In addition to providing user-friendly tools, a main goal is to make published analyses reproducible. While most of the examples discussed in this paper deal with nuclear-genome diversity in non-human vertebrates, we also illustrate the application of the tools to fungal genomes, human biomedical data, and mitochondrial sequences.

Conclusions: This project illustrates that a small group can design, implement, test, document, and distribute a Galaxy tool collection to meet the needs of a particular community of biologists.

Place, publisher, year, edition, pages
Oxford University Press, 2013. Vol. 2, no 1, article id 17
Keywords [en]
Genome analysis, Species conservation, Population structure, Selective sweeps, Admixture
National Category
Bioinformatics and Computational Biology
Identifiers
URN: urn:nbn:se:oru:diva-118776DOI: 10.1186/2047-217x-2-17ISI: 000209536100006PubMedID: 24377391Scopus ID: 2-s2.0-84991529239OAI: oai:DiVA.org:oru-118776DiVA, id: diva2:1930103
Funder
NIH (National Institutes of Health), RR033184-01
Note

Funding Agencies:

United States Department of Health & Human Services

National Institutes of Health (NIH)

Pennsylvania Department of Health using Tobacco Commonwealth Universal Research Enhancement Funds

 Gordon and Betty Moore Foundation

Available from: 2025-01-22 Created: 2025-01-22 Last updated: 2025-01-23Bibliographically approved

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Bedoya-Reina, oba

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