Evidence map›Paper›PMID 23281872›Full record

ArticleBMC bioinformatics2012

A flexible ancestral genome reconstruction method based on gapped adjacencies.

Yves Gagnon, Mathieu Blanchette, Nadia El-Mabrouk

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Article in BMC bioinformatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

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16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Yves GagnonDépartement d'Informatique, DIRO, Université de Montréal, Canada.
Mathieu Blanchette
Nadia El-Mabrouk

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe "small phylogeny" problem consists in inferring ancestral genomes associated with each internal node of a phylogenetic tree of a set of extant species. Existing methods can be grouped into two main categories: the distance-based methods aiming at minimizing a total branch length, and the synteny-based (or mapping) methods that first predict a collection of relations between ancestral markers in term of "synteny", and then assemble this collection into a set of Contiguous Ancestral Regions (CARs). The predicted CARs are likely to be more reliable as they are more directly deduced from observed conservations in extant species. However the challenge is to end up with a completely assembled genome.

resultsWe develop a new synteny-based method that is flexible enough to handle a model of evolution involving whole genome duplication events, in addition to rearrangements, gene insertions, and losses. Ancestral relationships between markers are defined in term of Gapped Adjacencies, i.e. pairs of markers separated by up to a given number of markers. It improves on a previous restricted to direct adjacencies, which revealed a high accuracy for adjacency prediction, but with the drawback of being overly conservative, i.e. of generating a large number of CARs. Applying our algorithm on various simulated data sets reveals good performance as we usually end up with a completely assembled genome, while keeping a low error rate. AVAILABILITY: All source code is available at http://www.iro.umontreal.ca/~mabrouk.

Indexed as

Evolution, MolecularGenomeAlgorithmsContig MappingPhylogenySynteny

Identifiers

PMID23281872
PMCPMC3526437

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.