Evidence map›Paper›PMID 25176556›Full record

ArticleBMC bioinformatics2014

AliGROOVE--visualization of heterogeneous sequence divergence within multiple sequence alignments and detection of inflated branch support.

Patrick Kück, Sandra A Meid, Christian Groß, Johann W Wägele, Bernhard Misof

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Article in BMC bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers.

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106citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

106 citing papers in PubMed.

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46 more citing papers are in PubMed but not listed here.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Patrick KückZoologisches Forschungsmuseum A, Koenig, Adenauerallee 160-163, 53113 Bonn, Germany. patrick_kueck@web.de.
Sandra A Meid
Christian Groß
Johann W Wägele
Bernhard Misof

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMasking of multiple sequence alignment blocks has become a powerful method to enhance the tree-likeness of the underlying data. However, existing masking approaches are insensitive to heterogeneous sequence divergence which can mislead tree reconstructions. We present AliGROOVE, a new method based on a sliding window and a Monte Carlo resampling approach, that visualizes heterogeneous sequence divergence or alignment ambiguity related to single taxa or subsets of taxa within a multiple sequence alignment and tags suspicious branches on a given tree.

resultsWe used simulated multiple sequence alignments to show that the extent of alignment ambiguity in pairwise sequence comparison is correlated with the frequency of misplaced taxa in tree reconstructions. The approach implemented in AliGROOVE allows to detect nodes within a tree that are supported despite the absence of phylogenetic signal in the underlying multiple sequence alignment. We show that AliGROOVE equally well detects heterogeneous sequence divergence in a case study based on an empirical data set of mitochondrial DNA sequences of chelicerates.

conclusionsThe AliGROOVE approach has the potential to identify single taxa or subsets of taxa which show predominantly randomized sequence similarity in comparison with other taxa in a multiple sequence alignment. It further allows to evaluate the reliability of node support in a novel way.

Indexed as

AlgorithmsComputer GraphicsGenetic VariationPhylogenyAnimalsArthropodsComputational BiologyDNA, MitochondrialMonte Carlo MethodReproducibility of ResultsSequence AlignmentDNA, Mitochondrial

Identifiers

PMID25176556
PMCPMC4167143

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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.