Literature DB >> 24291823

Alignment-free phylogenetics and population genetics.

Bernhard Haubold1.   

Abstract

Phylogenetics and population genetics are central disciplines in evolutionary biology. Both are based on comparative data, today usually DNA sequences. These have become so plentiful that alignment-free sequence comparison is of growing importance in the race between scientists and sequencing machines. In phylogenetics, efficient distance computation is the major contribution of alignment-free methods. A distance measure should reflect the number of substitutions per site, which underlies classical alignment-based phylogeny reconstruction. Alignment-free distance measures are either based on word counts or on match lengths, and I apply examples of both approaches to simulated and real data to assess their accuracy and efficiency. While phylogeny reconstruction is based on the number of substitutions, in population genetics, the distribution of mutations along a sequence is also considered. This distribution can be explored by match lengths, thus opening the prospect of alignment-free population genomics.

Keywords:  match length; mutation distance; phylogenetics; population genetics; suffix tree

Mesh:

Year:  2013        PMID: 24291823     DOI: 10.1093/bib/bbt083

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  28 in total

1.  Prot-SpaM: fast alignment-free phylogeny reconstruction based on whole-proteome sequences.

Authors:  Chris-Andre Leimeister; Jendrik Schellhorn; Svenja Dörrer; Michael Gerth; Christoph Bleidorn; Burkhard Morgenstern
Journal:  Gigascience       Date:  2019-03-01       Impact factor: 6.524

2.  Phenetic Comparison of Prokaryotic Genomes Using k-mers.

Authors:  Maxime Déraspe; Frédéric Raymond; Sébastien Boisvert; Alexander Culley; Paul H Roy; François Laviolette; Jacques Corbeil
Journal:  Mol Biol Evol       Date:  2017-10-01       Impact factor: 16.240

Review 3.  A Primer on Infectious Disease Bacterial Genomics.

Authors:  Tarah Lynch; Aaron Petkau; Natalie Knox; Morag Graham; Gary Van Domselaar
Journal:  Clin Microbiol Rev       Date:  2016-09-07       Impact factor: 26.132

4.  APPLES: Scalable Distance-Based Phylogenetic Placement with or without Alignments.

Authors:  Metin Balaban; Shahab Sarmashghi; Siavash Mirarab
Journal:  Syst Biol       Date:  2020-05-01       Impact factor: 15.683

5.  Support Values for Genome Phylogenies.

Authors:  Fabian Klötzl; Bernhard Haubold
Journal:  Life (Basel)       Date:  2016-03-07

6.  CAM: an alignment-free method to recover phylogenies using codon aversion motifs.

Authors:  Justin B Miller; Lauren M McKinnon; Michael F Whiting; Perry G Ridge
Journal:  PeerJ       Date:  2019-06-04       Impact factor: 2.984

7.  An assembly and alignment-free method of phylogeny reconstruction from next-generation sequencing data.

Authors:  Huan Fan; Anthony R Ives; Yann Surget-Groba; Charles H Cannon
Journal:  BMC Genomics       Date:  2015-07-14       Impact factor: 3.969

8.  Inferring phylogenies of evolving sequences without multiple sequence alignment.

Authors:  Cheong Xin Chan; Guillaume Bernard; Olivier Poirion; James M Hogan; Mark A Ragan
Journal:  Sci Rep       Date:  2014-09-30       Impact factor: 4.379

9.  Mash: fast genome and metagenome distance estimation using MinHash.

Authors:  Brian D Ondov; Todd J Treangen; Páll Melsted; Adam B Mallonee; Nicholas H Bergman; Sergey Koren; Adam M Phillippy
Journal:  Genome Biol       Date:  2016-06-20       Impact factor: 13.583

10.  Exploring lateral genetic transfer among microbial genomes using TF-IDF.

Authors:  Yingnan Cong; Yao-Ban Chan; Mark A Ragan
Journal:  Sci Rep       Date:  2016-07-25       Impact factor: 4.379

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