Literature DB >> 12538254

Simulating haplotype blocks in the human genome.

David Posada1, Carsten Wiuf.   

Abstract

SUMMARY: A bioinformatic tool was written to simulate haplotypes and SNPs under a modified coalescent with recombination. The most important feature of this program is that it allows for the specification of non-homogeneous recombination rates, which results in the formation of the so-called 'haplotype blocks' of the human genome. The program also implements different mutation models and flexible demographic histories. The samples generated can be very useful to better understand the architecture of the human genome and to investigate its impact in association studies searching for disease genes. AVAILABILITY: The SNPsim package is available at http://www.evolgenics.com/software

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Mesh:

Year:  2003        PMID: 12538254     DOI: 10.1093/bioinformatics/19.2.289

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


  9 in total

Review 1.  An overview of population genetic data simulation.

Authors:  Xiguo Yuan; David J Miller; Junying Zhang; David Herrington; Yue Wang
Journal:  J Comput Biol       Date:  2011-12-09       Impact factor: 1.479

2.  In silico analysis of disease-association mapping strategies using the coalescent process and incorporating ascertainment and selection.

Authors:  Ying Wang; Bruce Rannala
Journal:  Am J Hum Genet       Date:  2005-04-07       Impact factor: 11.025

3.  Recombination hotspots as a point process.

Authors:  Maria De Iorio; Eric de Silva; Michael P H Stumpf
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-08-29       Impact factor: 6.237

4.  Coalescent simulation of intracodon recombination.

Authors:  Miguel Arenas; David Posada
Journal:  Genetics       Date:  2009-11-23       Impact factor: 4.562

5.  Construction of random perfect phylogeny matrix.

Authors:  Mehdi Sadeghi; Hamid Pezeshk; Changiz Eslahchi; Sara Ahmadian; Sepideh Mah Abadi
Journal:  Adv Appl Bioinform Chem       Date:  2010-11-16

6.  Evaluation of methods for detecting conversion events in gene clusters.

Authors:  Giltae Song; Chih-Hao Hsu; Cathy Riemer; Webb Miller
Journal:  BMC Bioinformatics       Date:  2011-02-15       Impact factor: 3.169

7.  CoaSim: a flexible environment for simulating genetic data under coalescent models.

Authors:  Thomas Mailund; Mikkel H Schierup; Christian N S Pedersen; Peter J M Mechlenborg; Jesper N Madsen; Leif Schauser
Journal:  BMC Bioinformatics       Date:  2005-10-14       Impact factor: 3.169

Review 8.  A survey of genetic simulation software for population and epidemiological studies.

Authors:  Youfang Liu; Georgios Athanasiadis; Michael E Weale
Journal:  Hum Genomics       Date:  2008-09       Impact factor: 4.639

9.  Recodon: coalescent simulation of coding DNA sequences with recombination, migration and demography.

Authors:  Miguel Arenas; David Posada
Journal:  BMC Bioinformatics       Date:  2007-11-20       Impact factor: 3.169

  9 in total

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