Literature DB >> 28104629

Historian: accurate reconstruction of ancestral sequences and evolutionary rates.

Ian H Holmes.   

Abstract

Motivation: Reconstruction of ancestral sequence histories, and estimation of parameters like indel rates, are improved by using explicit evolutionary models and summing over uncertain alignments. The previous best tool for this purpose (according to simulation benchmarks) was ProtPal, but this tool was too slow for practical use.
Results: Historian combines an efficient reimplementation of the ProtPal algorithm with performance-improving heuristics from other alignment tools. Simulation results on fidelity of rate estimation via ancestral reconstruction, along with evaluations on the structurally informed alignment dataset BAliBase 3.0, recommend Historian over other alignment tools for evolutionary applications. Availability and Implementation: Historian is available at https://github.com/evoldoers/historian under the Creative Commons Attribution 3.0 US license. Contact: ihholmes+historian@gmail.com.
© The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

Mesh:

Year:  2017        PMID: 28104629      PMCID: PMC6074814          DOI: 10.1093/bioinformatics/btw791

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


  18 in total

1.  An expectation maximization algorithm for training hidden substitution models.

Authors:  I Holmes; G M Rubin
Journal:  J Mol Biol       Date:  2002-04-12       Impact factor: 5.469

2.  ProbCons: Probabilistic consistency-based multiple sequence alignment.

Authors:  Chuong B Do; Mahathi S P Mahabhashyam; Michael Brudno; Serafim Batzoglou
Journal:  Genome Res       Date:  2005-02       Impact factor: 9.043

3.  BAliBASE 3.0: latest developments of the multiple sequence alignment benchmark.

Authors:  Julie D Thompson; Patrice Koehl; Raymond Ripp; Olivier Poch
Journal:  Proteins       Date:  2005-10-01

4.  A note on probabilistic models over strings: the linear algebra approach.

Authors:  Alexandre Bouchard-Côté
Journal:  Bull Math Biol       Date:  2013-10-18       Impact factor: 1.758

5.  StatAlign: an extendable software package for joint Bayesian estimation of alignments and evolutionary trees.

Authors:  Adám Novák; István Miklós; Rune Lyngsø; Jotun Hein
Journal:  Bioinformatics       Date:  2008-08-27       Impact factor: 6.937

6.  Accurate reconstruction of insertion-deletion histories by statistical phylogenetics.

Authors:  Oscar Westesson; Gerton Lunter; Benedict Paten; Ian Holmes
Journal:  PLoS One       Date:  2012-04-20       Impact factor: 3.240

7.  Efficient representation of uncertainty in multiple sequence alignments using directed acyclic graphs.

Authors:  Joseph L Herman; Ádám Novák; Rune Lyngsø; Adrienn Szabó; István Miklós; Jotun Hein
Journal:  BMC Bioinformatics       Date:  2015-04-01       Impact factor: 3.169

8.  Parameterizing sequence alignment with an explicit evolutionary model.

Authors:  Elena Rivas; Sean R Eddy
Journal:  BMC Bioinformatics       Date:  2015-12-10       Impact factor: 3.169

9.  Fast statistical alignment.

Authors:  Robert K Bradley; Adam Roberts; Michael Smoot; Sudeep Juvekar; Jaeyoung Do; Colin Dewey; Ian Holmes; Lior Pachter
Journal:  PLoS Comput Biol       Date:  2009-05-29       Impact factor: 4.475

10.  MUSCLE: a multiple sequence alignment method with reduced time and space complexity.

Authors:  Robert C Edgar
Journal:  BMC Bioinformatics       Date:  2004-08-19       Impact factor: 3.169

View more
  6 in total

Review 1.  Revisiting Evaluation of Multiple Sequence Alignment Methods.

Authors:  Tandy Warnow
Journal:  Methods Mol Biol       Date:  2021

2.  Evaluating Statistical Multiple Sequence Alignment in Comparison to Other Alignment Methods on Protein Data Sets.

Authors:  Michael Nute; Ehsan Saleh; Tandy Warnow
Journal:  Syst Biol       Date:  2019-05-01       Impact factor: 15.683

3.  Solving the master equation for Indels.

Authors:  Ian H Holmes
Journal:  BMC Bioinformatics       Date:  2017-05-12       Impact factor: 3.169

4.  Turnover of ribosome-associated transcripts from de novo ORFs produces gene-like characteristics available for de novo gene emergence in wild yeast populations.

Authors:  Éléonore Durand; Isabelle Gagnon-Arsenault; Johan Hallin; Isabelle Hatin; Alexandre K Dubé; Lou Nielly-Thibault; Olivier Namy; Christian R Landry
Journal:  Genome Res       Date:  2019-05-31       Impact factor: 9.043

Review 5.  Ancestral sequence reconstruction - An underused approach to understand the evolution of gene function in plants?

Authors:  Federico Scossa; Alisdair R Fernie
Journal:  Comput Struct Biotechnol J       Date:  2021-03-16       Impact factor: 7.271

6.  Machine Boss: rapid prototyping of bioinformatic automata.

Authors:  Jordi Silvestre-Ryan; Yujie Wang; Mehak Sharma; Stephen Lin; Yolanda Shen; Shihab Dider; Ian Holmes
Journal:  Bioinformatics       Date:  2021-04-09       Impact factor: 6.931

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.