Literature DB >> 25841763

Assessing Differences Between Ancestral Recombination Graphs.

Mary K Kuhner1, Jon Yamato.   

Abstract

Ancestral recombination graphs (ARGs) represent the history of portions of a genome with recombination. Attempts to infer ARGs have been hampered by the lack of an ARG comparison metric which could be used to measure how well inference succeeded. We propose a simple ARG comparison framework based on averaging standard tree comparison measures across either all sites or variable sites only. Using simulated data, we show that this framework, instantiated with an appropriate tree comparison measure, can distinguish better from worse inferences of an ARG.

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Year:  2015        PMID: 25841763     DOI: 10.1007/s00239-015-9676-x

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  24 in total

1.  Evaluating intraspecific "network" construction methods using simulated sequence data: do existing algorithms outperform the global maximum parsimony approach?

Authors:  Insa Cassens; Patrick Mardulyn; Michel C Milinkovitch
Journal:  Syst Biol       Date:  2005-06       Impact factor: 15.683

2.  A novel algorithm and web-based tool for comparing two alternative phylogenetic trees.

Authors:  Tom M W Nye; Pietro Liò; Walter R Gilks
Journal:  Bioinformatics       Date:  2005-10-18       Impact factor: 6.937

3.  Reconstructing evolution of sequences subject to recombination using parsimony.

Authors:  J Hein
Journal:  Math Biosci       Date:  1990-03       Impact factor: 2.144

4.  Ancestral inference from samples of DNA sequences with recombination.

Authors:  R C Griffiths; P Marjoram
Journal:  J Comput Biol       Date:  1996       Impact factor: 1.479

5.  Statistical properties of the number of recombination events in the history of a sample of DNA sequences.

Authors:  R R Hudson; N L Kaplan
Journal:  Genetics       Date:  1985-09       Impact factor: 4.562

6.  Bayesian inference of local trees along chromosomes by the sequential Markov coalescent.

Authors:  Chaozhi Zheng; Mary K Kuhner; Elizabeth A Thompson
Journal:  J Mol Evol       Date:  2014-05-11       Impact factor: 2.395

7.  Genome-wide inference of ancestral recombination graphs.

Authors:  Matthew D Rasmussen; Melissa J Hubisz; Ilan Gronau; Adam Siepel
Journal:  PLoS Genet       Date:  2014-05-15       Impact factor: 5.917

8.  Characterization of reticulate networks based on the coalescent with recombination.

Authors:  Miguel Arenas; Gabriel Valiente; David Posada
Journal:  Mol Biol Evol       Date:  2008-10-15       Impact factor: 16.240

9.  A comparison of phylogenetic network methods using computer simulation.

Authors:  Steven M Woolley; David Posada; Keith A Crandall
Journal:  PLoS One       Date:  2008-04-09       Impact factor: 3.240

10.  A comparison of MSA tools.

Authors:  Nadia Essoussi; Khaddouja Boujenfa; Mohamed Limam
Journal:  Bioinformation       Date:  2008-07-31
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  1 in total

1.  A Consensus Method for Ancestral Recombination Graphs.

Authors:  Mary K Kuhner; Jon Yamato
Journal:  J Mol Evol       Date:  2017-03-11       Impact factor: 2.395

  1 in total

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