Literature DB >> 17459963

GENOME: a rapid coalescent-based whole genome simulator.

Liming Liang1, Sebastian Zöllner, Gonçalo R Abecasis.   

Abstract

SUMMARY: GENOME proposes a rapid coalescent-based approach to simulate whole genome data. In addition to features of standard coalescent simulators, the program allows for recombination rates to vary along the genome and for flexible population histories. Within small regions, we have evaluated samples simulated by GENOME to verify that GENOME provides the expected LD patterns and frequency spectra. The program can be used to study the sampling properties of any statistic for a whole genome study. AVAILABILITY: The program and C++ source code are available online at http://www.sph.umich.edu/csg/liang/genome/

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Year:  2007        PMID： 17459963     DOI： 10.1093/bioinformatics/btm138

Source DB:  PubMed          Journal:  Bioinformatics        ISSN： 1367-4803            Impact factor:   6.937


  63 in total

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2.  The architecture of long-range haplotypes shared within and across populations.

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4.  Interpretation of association signals and identification of causal variants from genome-wide association studies.

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5.  Simulating gene-environment interactions in complex human diseases.

Authors:  Bo Peng
Journal:  Genome Med       Date:  2010-03-23       Impact factor: 11.117

6.  GCTA: a tool for genome-wide complex trait analysis.

Authors:  Jian Yang; S Hong Lee; Michael E Goddard; Peter M Visscher
Journal:  Am J Hum Genet       Date:  2010-12-17       Impact factor: 11.025

7.  Simulating sequences of the human genome with rare variants.

Authors:  Bo Peng; Xiaoming Liu
Journal:  Hum Hered       Date:  2011-01-06       Impact factor: 0.444

8.  Fast and flexible simulation of DNA sequence data.

Authors:  Gary K Chen; Paul Marjoram; Jeffrey D Wall
Journal:  Genome Res       Date:  2008-11-24       Impact factor: 9.043

9.  Simulation of DNA sequence evolution under models of recent directional selection.

Authors:  Yuseob Kim; Thomas Wiehe
Journal:  Brief Bioinform       Date:  2008-12-24       Impact factor: 11.622

10.  Genotype-based matching to correct for population stratification in large-scale case-control genetic association studies.

Authors:  Weihua Guan; Liming Liang; Michael Boehnke; Gonçalo R Abecasis
Journal:  Genet Epidemiol       Date:  2009-09       Impact factor: 2.135
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