Literature DB >> 27153641

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

C J R Illingworth1.   

Abstract

UNLABELLED: 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/ CONTACT: chris.illingworth@gen.cam.ac.uk SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Mesh:

Year:  2016        PMID: 27153641      PMCID: PMC4937198          DOI: 10.1093/bioinformatics/btw205

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


  8 in total

1.  Competition between recombination and epistasis can cause a transition from allele to genotype selection.

Authors:  Richard A Neher; Boris I Shraiman
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-06       Impact factor: 11.205

2.  Probabilistic inference of viral quasispecies subject to recombination.

Authors:  Armin Töpfer; Osvaldo Zagordi; Sandhya Prabhakaran; Volker Roth; Eran Halperin; Niko Beerenwinkel
Journal:  J Comput Biol       Date:  2013-02       Impact factor: 1.479

3.  Viral population analysis and minority-variant detection using short read next-generation sequencing.

Authors:  Simon J Watson; Matthijs R A Welkers; Daniel P Depledge; Eve Coulter; Judith M Breuer; Menno D de Jong; Paul Kellam
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-02-04       Impact factor: 6.237

4.  Restriction of V3 region sequence divergence in the HIV-1 envelope gene during antiretroviral treatment in a cohort of recent seroconverters.

Authors:  Astrid Gall; Steve Kaye; Stéphane Hué; David Bonsall; Richard Rance; Gregory J Baillie; Sarah J Fidler; Jonathan N Weber; Myra O McClure; Paul Kellam
Journal:  Retrovirology       Date:  2013-01-18       Impact factor: 4.602

5.  Influenza virus drug resistance: a time-sampled population genetics perspective.

Authors:  Matthieu Foll; Yu-Ping Poh; Nicholas Renzette; Anna Ferrer-Admetlla; Claudia Bank; Hyunjin Shim; Anna-Sapfo Malaspinas; Gregory Ewing; Ping Liu; Daniel Wegmann; Daniel R Caffrey; Konstantin B Zeldovich; Daniel N Bolon; Jennifer P Wang; Timothy F Kowalik; Celia A Schiffer; Robert W Finberg; Jeffrey D Jensen
Journal:  PLoS Genet       Date:  2014-02-27       Impact factor: 5.917

6.  High-definition reconstruction of clonal composition in cancer.

Authors:  Andrej Fischer; Ignacio Vázquez-García; Christopher J R Illingworth; Ville Mustonen
Journal:  Cell Rep       Date:  2014-05-29       Impact factor: 9.423

7.  Identifying selection in the within-host evolution of influenza using viral sequence data.

Authors:  Christopher J R Illingworth; Andrej Fischer; Ville Mustonen
Journal:  PLoS Comput Biol       Date:  2014-07-31       Impact factor: 4.475

8.  Fitness Inference from Short-Read Data: Within-Host Evolution of a Reassortant H5N1 Influenza Virus.

Authors:  Christopher J R Illingworth
Journal:  Mol Biol Evol       Date:  2015-08-04       Impact factor: 16.240

  8 in total
  10 in total

Review 1.  Within-Host Evolution of Human Influenza Virus.

Authors:  Katherine S Xue; Louise H Moncla; Trevor Bedford; Jesse D Bloom
Journal:  Trends Microbiol       Date:  2018-03-10       Impact factor: 17.079

2.  On the effective depth of viral sequence data.

Authors:  Christopher J R Illingworth; Sunando Roy; Mathew A Beale; Helena Tutill; Rachel Williams; Judith Breuer
Journal:  Virus Evol       Date:  2017-11-14

3.  The effective rate of influenza reassortment is limited during human infection.

Authors:  Ashley Sobel Leonard; Micah T McClain; Gavin J D Smith; David E Wentworth; Rebecca A Halpin; Xudong Lin; Amy Ransier; Timothy B Stockwell; Suman R Das; Anthony S Gilbert; Rob Lambkin-Williams; Geoffrey S Ginsburg; Christopher W Woods; Katia Koelle; Christopher J R Illingworth
Journal:  PLoS Pathog       Date:  2017-02-07       Impact factor: 6.823

4.  A novel framework for inferring parameters of transmission from viral sequence data.

Authors:  Casper K Lumby; Nuno R Nene; Christopher J R Illingworth
Journal:  PLoS Genet       Date:  2018-10-16       Impact factor: 5.917

5.  Measurements of intrahost viral diversity require an unbiased diversity metric.

Authors:  Lei Zhao; Christopher J R Illingworth
Journal:  Virus Evol       Date:  2019-01-30

6.  SARS-CoV-2 evolution during treatment of chronic infection.

Authors:  Steven A Kemp; Dami A Collier; Rawlings P Datir; Isabella A T M Ferreira; Salma Gayed; Aminu Jahun; Myra Hosmillo; Chloe Rees-Spear; Petra Mlcochova; Ines Ushiro Lumb; David J Roberts; Anita Chandra; Nigel Temperton; Katherine Sharrocks; Elizabeth Blane; Yorgo Modis; Kendra E Leigh; John A G Briggs; Marit J van Gils; Kenneth G C Smith; John R Bradley; Chris Smith; Rainer Doffinger; Lourdes Ceron-Gutierrez; Gabriela Barcenas-Morales; David D Pollock; Richard A Goldstein; Anna Smielewska; Jordan P Skittrall; Theodore Gouliouris; Ian G Goodfellow; Effrossyni Gkrania-Klotsas; Christopher J R Illingworth; Laura E McCoy; Ravindra K Gupta
Journal:  Nature       Date:  2021-02-05       Impact factor: 69.504

7.  Inferring Transmission Bottleneck Size from Viral Sequence Data Using a Novel Haplotype Reconstruction Method.

Authors:  Mahan Ghafari; Casper K Lumby; Daniel B Weissman; Christopher J R Illingworth
Journal:  J Virol       Date:  2020-06-16       Impact factor: 5.103

8.  A large effective population size for established within-host influenza virus infection.

Authors:  Casper K Lumby; Lei Zhao; Judith Breuer; Christopher Jr Illingworth
Journal:  Elife       Date:  2020-08-10       Impact factor: 8.140

9.  Drivers of within-host genetic diversity in acute infections of viruses.

Authors:  Maoz Gelbart; Sheri Harari; Ya'ara Ben-Ari; Talia Kustin; Dana Wolf; Michal Mandelboim; Orna Mor; Pleuni S Pennings; Adi Stern
Journal:  PLoS Pathog       Date:  2020-11-04       Impact factor: 6.823

10.  Neutralising antibodies in Spike mediated SARS-CoV-2 adaptation.

Authors:  S A Kemp; D A Collier; R Datir; Iatm Ferreira; S Gayed; A Jahun; M Hosmillo; C Rees-Spear; P Mlcochova; Ines Ushiro Lumb; David J Roberts; Anita Chandra; N Temperton; K Sharrocks; E Blane; Jag Briggs; Gils Mj van; Kgc Smith; J R Bradley; C Smith; R Doffinger; L Ceron-Gutierrez; G Barcenas-Morales; D D Pollock; R A Goldstein; A Smielewska; J P Skittrall; T Gouliouris; I G Goodfellow; E Gkrania-Klotsas; Cjr Illingworth; L E McCoy; R K Gupta
Journal:  medRxiv       Date:  2020-12-29
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.