OmegaPlus: A scalable tool for rapid detection of selective sweeps in whole-genome datasets

N. Alachiotis; A. Stamatakis; P. Pavlidis

doi:10.1093/bioinformatics/bts419

OmegaPlus: A scalable tool for rapid detection of selective sweeps in whole-genome datasets

N. Alachiotis^*, A. Stamatakis, P. Pavlidis

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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Abstract

Recent advances in sequencing technologies have led to the rapid accumulation of molecular sequence data. Analyzing whole-genome data (as obtained from next-generation sequencers) from intra-species samples allows to detect signatures of positive selection along the genome and therefore identify potentially advantageous genes in the course of the evolution of a population. We introduce OmegaPlus, an open-source tool for rapid detection of selective sweeps in whole-genome data based on linkage disequilibrium. The tool is up to two orders of magnitude faster than existing programs for this purpose and also exhibits up to two orders of magnitude smaller memory requirements.

Original language	English
Article number	bts419
Pages (from-to)	2274-2275
Number of pages	2
Journal	Bioinformatics
Volume	28
Issue number	17
DOIs	https://doi.org/10.1093/bioinformatics/bts419
Publication status	Published - Sept 2012
Externally published	Yes

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10.1093/bioinformatics/bts419Licence: CC BY

Alachiotis2012omegaplusFinal published version, 113 KBLicence: CC BY

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OmegaPlus: A scalable tool for rapid detection of selective sweeps in whole-genome datasets

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