Skip to main navigation Skip to search Skip to main content

Galaxy tools to study genome diversity

  • Oscar C. Bedoya-Reina
  • , Aakrosh Ratan
  • , Richard Burhans
  • , Hie Lim Kim
  • , Belinda Giardine
  • , Cathy Riemer
  • , Qunhua Li
  • , Thomas L. Olson
  • , Thomas P. Loughran
  • , Bridgett Marie vonHoldt
  • , George H. Perry
  • , Stephan C. Schuster
  • , Webb Miller

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish (US)
Article number17
JournalGigaScience
Volume2
Issue number1
DOIs
StatePublished - 2013

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Health Informatics

Keywords

  • Admixture
  • Genome analysis
  • Population structure
  • Selective sweeps
  • Species conservation

Fingerprint

Dive into the research topics of 'Galaxy tools to study genome diversity'. Together they form a unique fingerprint.

Cite this