SAMFIRE: multi-locus variant calling for time-resolved sequence data

Illingworth, C.J.R. (2016) SAMFIRE: multi-locus variant calling for time-resolved sequence data. Bioinformatics, 32(14), pp. 2208-2209. (doi: 10.1093/bioinformatics/btw205) (PMID:27153641) (PMCID:PMC4937198)

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Abstract

Summary: An increasingly common method for studying evolution is the collection of time-resolved short-read sequence data. Such datasets allow for the direct observation of rapid evolutionary processes, as might occur in natural microbial populations and in evolutionary experiments. In many circumstances, evolutionary pressure acting upon single variants can cause genomic changes at multiple nearby loci. SAMFIRE is an open-access software package for processing and analyzing sequence reads from time-resolved data, calling important single- and multi-locus variants over time, identifying alleles potentially affected by selection, calculating linkage disequilibrium statistics, performing haplotype reconstruction and exploiting time-resolved information to estimate the extent of uncertainty in reported genomic data. Availability and Implementation: C ++ code may be found at https://github.com/cjri/samfire/.

Item Type:Articles
Additional Information:CI was supported by a Sir Henry Dale Fellowship, jointly funded by the Wellcome Trust and the Royal Society (Grant Number 101239/Z/13/Z).
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Illingworth, Dr Chris
Authors: Illingworth, C.J.R.
College/School:College of Medical Veterinary and Life Sciences > School of Infection & Immunity
College of Medical Veterinary and Life Sciences > School of Infection & Immunity > Centre for Virus Research
Journal Name:Bioinformatics
Publisher:Oxford University Press
ISSN:1367-4803
ISSN (Online):1460-2059
Published Online:22 April 2016

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