Population Genetic Inference From Resequencing Data
Author(s) -
Rong Jiang,
Simon Tavaré,
Paul Marjoram
Publication year - 2008
Publication title -
genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.792
H-Index - 246
eISSN - 1943-2631
pISSN - 0016-6731
DOI - 10.1534/genetics.107.080630
Subject(s) - biology , inference , shotgun sequencing , genetics , computational biology , population , dna sequencing , mutation rate , mutation , genomics , genome , computer science , gene , artificial intelligence , demography , sociology
This article is concerned with statistical modeling of shotgun resequencing data and the use of such data for population genetic inference. We model data produced by sequencing-by-synthesis technologies such as the Solexa, 454, and polymerase colony (polony) systems, whose use is becoming increasingly widespread. We show how such data can be used to estimate evolutionary parameters (mutation and recombination rates), despite the fact that the data do not necessarily provide complete or aligned sequence information. We also present two refinements of our methods: one that is more robust to sequencing errors and another that can be used when no reference genome is available.
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