Literature DB >> 16924258

Computer programs for population genetics data analysis: a survival guide.

Laurent Excoffier1, Gerald Heckel.   

Abstract

The analysis of genetic diversity within species is vital for understanding evolutionary processes at the population level and at the genomic level. A large quantity of data can now be produced at an unprecedented rate, requiring the use of dedicated computer programs to extract all embedded information. Several statistical packages have been recently developed, which offer a panel of standard and more sophisticated analyses. We describe here the functionalities, special features and assumptions of more than 20 such programs, indicate how they can interoperate, and discuss new directions that could lead to improved software and analyses.

Mesh:

Year:  2006        PMID: 16924258     DOI: 10.1038/nrg1904

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  61 in total

1.  Microsatellite standardization and evaluation of genotyping error in a large multi-partner research programme for conservation of Atlantic salmon (Salmo salar L.).

Authors:  J S Ellis; J Gilbey; A Armstrong; T Balstad; E Cauwelier; C Cherbonnel; S Consuegra; J Coughlan; T F Cross; W Crozier; E Dillane; D Ensing; C García de Leániz; E García-Vázquez; A M Griffiths; K Hindar; S Hjorleifsdottir; D Knox; G Machado-Schiaffino; P McGinnity; D Meldrup; E E Nielsen; K Olafsson; C R Primmer; P Prodohl; L Stradmeyer; J-P Vähä; E Verspoor; V Wennevik; J R Stevens
Journal:  Genetica       Date:  2011-02-01       Impact factor: 1.082

Review 2.  Interpreting functional effects of coding variants: challenges in proteome-scale prediction, annotation and assessment.

Authors:  Khader Shameer; Lokesh P Tripathi; Krishna R Kalari; Joel T Dudley; Ramanathan Sowdhamini
Journal:  Brief Bioinform       Date:  2015-10-22       Impact factor: 11.622

3.  REJECTOR: software for population history inference from genetic data via a rejection algorithm.

Authors:  Matthew J Jobin; Joanna L Mountain
Journal:  Bioinformatics       Date:  2008-10-20       Impact factor: 6.937

4.  The challenges for molecular nutrition research 1: linking genotype to healthy nutrition.

Authors:  Christine M Williams; Jose M Ordovas; Dennis Lairon; John Hesketh; Georg Lietz; Mike Gibney; Ben van Ommen
Journal:  Genes Nutr       Date:  2008-07       Impact factor: 5.523

5.  Simple life-history traits explain key effective population size ratios across diverse taxa.

Authors:  Robin S Waples; Gordon Luikart; James R Faulkner; David A Tallmon
Journal:  Proc Biol Sci       Date:  2013-08-07       Impact factor: 5.349

6.  An approximate Bayesian computation approach to overcome biases that arise when using amplified fragment length polymorphism markers to study population structure.

Authors:  Matthieu Foll; Mark A Beaumont; Oscar Gaggiotti
Journal:  Genetics       Date:  2008-05-27       Impact factor: 4.562

7.  FORMATOMATIC: a program for converting diploid allelic data between common formats for population genetic analysis.

Authors:  Nicholas C Manoukis
Journal:  Mol Ecol Notes       Date:  2007-07-01

Review 8.  DNA-based methods for eriophyoid mite studies: review, critical aspects, prospects and challenges.

Authors:  Maria Navajas; Denise Navia
Journal:  Exp Appl Acarol       Date:  2009-10-14       Impact factor: 2.132

9.  SimHap GUI: an intuitive graphical user interface for genetic association analysis.

Authors:  Kim W Carter; Pamela A McCaskie; Lyle J Palmer
Journal:  BMC Bioinformatics       Date:  2008-12-25       Impact factor: 3.169

Review 10.  Using genetics to understand the dynamics of wild primate populations.

Authors:  Linda Vigilant; Katerina Guschanski
Journal:  Primates       Date:  2009-01-28       Impact factor: 2.163

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