NRE: a tool for exploring neutral loci in the human genome

TitleNRE: a tool for exploring neutral loci in the human genome
Publication TypeJournal Article
Year of Publication2012
AuthorsArbiza L, Zhong E, Keinan A
JournalBMC Bioinformatics
Volume13
Issue1
Pagination301
ISSN1471-2105
KeywordsAnimals, Genetic, Genetic Variation, Genetics, Genome, Genomics, Human, Humans, Mammals, Polymorphism, Population, Selection, Single Nucleotide, Software
Abstract

BACKGROUND: Analyzing regions of the genome where genetic variation is free from the confounding effects of natural selection is essential for many population genetic studies. Several recent studies in humans have stressed the large effect of natural selection at linked neutral sites and have shown that the choice of putatively neutral regions can have a marked effect on estimates of demographic history. RESULTS: NRE (Neutral Region Explorer) provides a mechanism for the easy extraction and analysis of nearly neutral regions from the human genome. It can combine many genomic filters, including filters for selection, recombination rate, genetic distance to the nearest gene, percent overlap with annotated regions, and user-provided loci. The program implements a two-step filtering process for greater versatility, allowing users to compile a basic set of neutrality criteria, explore their effect, and use this knowledge to refine filtering. Results can be instantly downloaded in standard formats, along with summary and ranking statistics, or exported to genome browsers such as those from the 1000 Genomes and UCSC. The applicability and value of NRE are demonstrated through an example in the estimation of the ratio of chromosome X-to-autosomal effective population size using different strategies for the selection of neutral regions. CONCLUSIONS: The combined features of NRE make possible the sort of flexible, rigorous mining and analysis of neutral loci increasingly demanded by population genetic studies. NRE is available at http://nre.cb.bscb.cornell.edu.

URLhttp://keinanlab.cb.bscb.cornell.edu/sites/default/files/papers/arbiza_etal_2012_nre_bmcbioinformatics.pdf
DOI10.1186/1471-2105-13-301