Literature DB >> 22905315

jPopGen Suite: population genetic analysis of DNA polymorphism from nucleotide sequences with errors.

Xiaoming Liu1.   

Abstract

1. Next-generation sequencing (NGS) is being increasingly used in ecological and evolutionary studies. Though promising, NGS is known to be error-prone. Sequencing error can cause significant bias for population genetic analysis of a sequence sample.2. We present jPopGen Suite, an integrated tool for population genetic analysis of DNA polymorphisms from nucleotide sequences. It is specially designed for data with a non-negligible error rate, although it serves well for "error-free" data. It implements several methods for estimating the population mutation rate, population growth rate, and conducting neutrality tests.3. jPopGen Suite facilitates the population genetic analysis of NGS data in various applications, and is freely available for non-commercial users at http://sites.google.com/site/jpopgen/.

Year:  2012        PMID: 22905315      PMCID: PMC3418685          DOI: 10.1111/j.2041-210X.2012.00194.x

Source DB:  PubMed          Journal:  Methods Ecol Evol            Impact factor:   7.781


  20 in total

1.  On the number of segregating sites in genetical models without recombination.

Authors:  G A Watterson
Journal:  Theor Popul Biol       Date:  1975-04       Impact factor: 1.570

2.  Statistical tests for detecting positive selection by utilizing high-frequency variants.

Authors:  Kai Zeng; Yun-Xin Fu; Suhua Shi; Chung-I Wu
Journal:  Genetics       Date:  2006-09-01       Impact factor: 4.562

3.  Inference of population genetic parameters in metagenomics: a clean look at messy data.

Authors:  Philip L F Johnson; Montgomery Slatkin
Journal:  Genome Res       Date:  2006-09-05       Impact factor: 9.043

4.  Incorporating experimental design and error into coalescent/mutation models of population history.

Authors:  Bjarne Knudsen; Michael M Miyamoto
Journal:  Genetics       Date:  2007-06-11       Impact factor: 4.562

5.  Estimation of allele frequencies from high-coverage genome-sequencing projects.

Authors:  Michael Lynch
Journal:  Genetics       Date:  2009-03-16       Impact factor: 4.562

6.  Frequency spectrum neutrality tests: one for all and all for one.

Authors:  Guillaume Achaz
Journal:  Genetics       Date:  2009-06-22       Impact factor: 4.562

7.  Testing for neutrality in samples with sequencing errors.

Authors:  Guillaume Achaz
Journal:  Genetics       Date:  2008-06-18       Impact factor: 4.562

8.  Statistical method for testing the neutral mutation hypothesis by DNA polymorphism.

Authors:  F Tajima
Journal:  Genetics       Date:  1989-11       Impact factor: 4.562

9.  Statistical tests of neutrality of mutations.

Authors:  Y X Fu; W H Li
Journal:  Genetics       Date:  1993-03       Impact factor: 4.562

10.  Accurate and fast methods to estimate the population mutation rate from error prone sequences.

Authors:  Bjarne Knudsen; Michael M Miyamoto
Journal:  BMC Bioinformatics       Date:  2009-08-11       Impact factor: 3.169

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  3 in total

1.  Theoretical framework of population genetics with somatic mutations taken into account: application to copy number variations in humans.

Authors:  K Ezawa; H Innan
Journal:  Heredity (Edinb)       Date:  2013-08-28       Impact factor: 3.821

2.  Population genomic analysis of 962 whole genome sequences of humans reveals natural selection in non-coding regions.

Authors:  Fuli Yu; Jian Lu; Xiaoming Liu; Elodie Gazave; Diana Chang; Srilakshmi Raj; Haley Hunter-Zinck; Ran Blekhman; Leonardo Arbiza; Cris Van Hout; Alanna Morrison; Andrew D Johnson; Joshua Bis; L Adrienne Cupples; Bruce M Psaty; Donna Muzny; Jin Yu; Richard A Gibbs; Alon Keinan; Andrew G Clark; Eric Boerwinkle
Journal:  PLoS One       Date:  2015-03-25       Impact factor: 3.240

3.  Properties of Samples With Segregating Polymerase Chain Reaction (PCR) Dropout Mutations Within a Species.

Authors:  Cortland K Griswold
Journal:  Evol Bioinform Online       Date:  2019-11-05       Impact factor: 1.625

  3 in total

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