SWEEPFINDER2: increased sensitivity, robustness and flexibility

被引：191

作者：

DeGiorgio, Michael ^{[1
,2
]}

Huber, Christian D. ^{[3
]}

Hubisz, Melissa J. ^{[4
]}

Hellmann, Ines ^{[5
]}

Nielsen, Rasmus ^{[6
]}

机构：

[1] Penn State Univ, Dept Biol, University Pk, PA 16802 USA

[2] Penn State Univ, Inst CyberSci, University Pk, PA 16802 USA

[3] Univ Calif Los Angeles, Dept Ecol & Evolutionary Biol, Los Angeles, CA USA

[4] Cornell Univ, Dept Biol Stat & Computat Biol, Ithaca, NY USA

[5] Univ Munich, Dept Biol 2, Planegg Martinsried, Germany

[6] Univ Calif Berkeley, Dept Integrat Biol, Berkeley, CA 94720 USA

来源：

BIOINFORMATICS | 2016年 / 32卷 / 12期

关键词：

CLASSIC SELECTIVE SWEEPS; POSITIVE SELECTION; BACKGROUND SELECTION; MOLECULAR EVOLUTION; MUTATIONS; PATTERNS; SIGNALS;

D O I：

10.1093/bioinformatics/btw051

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

SWEEPFINDER is a widely used program that implements a powerful likelihood-based method for detecting recent positive selection, or selective sweeps. Here, we present SWEEPFINDER2, an extension of SWEEPFINDER with increased sensitivity and robustness to the confounding effects of mutation rate variation and background selection. Moreover, SWEEPFINDER2 has increased flexibility that enables the user to specify test sites, set the distance between test sites and utilize a recombination map.

引用

页码：1895 / 1897

页数：3

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