Mcheza: A workbench to detect selection using dominant markers

Bioinformatics

Volumn 27, Issue 12, 2011, Pages 1717-1718

  Antao, Tiago ^a   Beaumont, Mark A ^b  

^a LIVERPOOL SCHOOL OF TROPICAL MEDICINE   (United Kingdom)

^b UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AMPLIFIED FRAGMENT LENGTH POLYMORPHISM; ARTICLE; COMPUTER PROGRAM; DNA MICROARRAY; GENETIC MARKER; GENETIC SELECTION; GENOME;

AMPLIFIED FRAGMENT LENGTH POLYMORPHISM ANALYSIS; GENETIC MARKERS; GENOME; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; SELECTION, GENETIC; SOFTWARE;

EID: 79958167474     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btr253     Document Type: Article

References (15)

1. ST-outlier method. BMC Bioinformatics, 9, 323.
2. Beaumont,M.A. (2008) Selection and sticklebacks. Mol. Ecol., 15. 3425-3427.
3. Beaumont,M.A. and Balding,D.J. (2004) Identifying adaptive genetic divergence among populations from genome scans. Mol. Ecol., 13. 969-980.
4. Beaumont,M.A. and Nichols,R.A. (1996) Evaluating loci for use in the genetic analysis of population structure, Proc. R Soc. B, 263, 1619-1626.
5. Benjamini,Y., Hochberg,Y. (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R Stat. Soc. B, 57, 289-300.
6. Caballero,A. et al. (2008) Impact of amplified fragment length polymorphism size homoplasy on the estimation of population genetic diversity and the detection of selective loci. Genetics, 179, 539-554.
7. Chiurugwi,T. et al. (2011) Adaptive divergence and speciation among sexual and pseudoviviparous populations of Festuca. Heredity, 106, 854-861.
8. Cock,P.J.A. et al. (2008) Biopython: freely available Python tools for computational molecular biology and bioinformatics. Bionformatics, 25, 1422-1423.
9. Excoffier,L. et al. (2009) Detecting loci under selection in a hierarchically structured population. Heredity, 103, 285-298.
10. Foll,M. and Gaggiotti,O. (2008) A genome-scan method to identify selected loci appropriate for both dominant and codominant markers: a bayesian perspective. Genetics, 180, 977-993.
11. Pérez-Figueroa,A. et al. (2010) Comparing three different methods to detect selective loci using dominant markers. J. Evol. Biol., 23, 2267-2276.
12. Rousset,F. (2008) GENEPOP'007: a complete re-implementation of the genepop software for Windows and Linux. Mol. Ecol. Resour., 8, 103-106.
13. R Development Core Team (2010) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
14. Storz,J.F. (2005) Using genome scans of DNA polymorphism to infer adaptive population divergence, Mol. Ecol., 14, 671-688.
15. Zhivotovsky,L.A. (1999) Estimating population structure in diploids with multilocus dominant DNA markers. Mol. Ecol., 8, 907-913.