TCS: a web server for multiple sequence alignment evaluation and phylogenetic reconstruction
This article introduces the Transitive Consistency Score (TCS) web server; a service making it possible to estimate the local reliability of protein multiple sequence alignments (MSAs) using the TCS index. The evaluation can be used to identify the aligned positions most likely to contain structural...
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Oxford University Press
2015
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4489230/ |
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pubmed-44892302015-07-07 TCS: a web server for multiple sequence alignment evaluation and phylogenetic reconstruction Chang, Jia-Ming Di Tommaso, Paolo Lefort, Vincent Gascuel, Olivier Notredame, Cedric Web Server issue This article introduces the Transitive Consistency Score (TCS) web server; a service making it possible to estimate the local reliability of protein multiple sequence alignments (MSAs) using the TCS index. The evaluation can be used to identify the aligned positions most likely to contain structurally analogous residues and also most likely to support an accurate phylogenetic reconstruction. The TCS scoring scheme has been shown to be accurate predictor of structural alignment correctness among commonly used methods. It has also been shown to outperform common filtering schemes like Gblocks or trimAl when doing MSA post-processing prior to phylogenetic tree reconstruction. The web server is available from http://tcoffee.crg.cat/tcs. Oxford University Press 2015-07-01 2015-04-08 /pmc/articles/PMC4489230/ /pubmed/25855806 http://dx.doi.org/10.1093/nar/gkv310 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
repository_type |
Open Access Journal |
institution_category |
Foreign Institution |
institution |
US National Center for Biotechnology Information |
building |
NCBI PubMed |
collection |
Online Access |
language |
English |
format |
Online |
author |
Chang, Jia-Ming Di Tommaso, Paolo Lefort, Vincent Gascuel, Olivier Notredame, Cedric |
spellingShingle |
Chang, Jia-Ming Di Tommaso, Paolo Lefort, Vincent Gascuel, Olivier Notredame, Cedric TCS: a web server for multiple sequence alignment evaluation and phylogenetic reconstruction |
author_facet |
Chang, Jia-Ming Di Tommaso, Paolo Lefort, Vincent Gascuel, Olivier Notredame, Cedric |
author_sort |
Chang, Jia-Ming |
title |
TCS: a web server for multiple sequence alignment evaluation and phylogenetic reconstruction |
title_short |
TCS: a web server for multiple sequence alignment evaluation and phylogenetic reconstruction |
title_full |
TCS: a web server for multiple sequence alignment evaluation and phylogenetic reconstruction |
title_fullStr |
TCS: a web server for multiple sequence alignment evaluation and phylogenetic reconstruction |
title_full_unstemmed |
TCS: a web server for multiple sequence alignment evaluation and phylogenetic reconstruction |
title_sort |
tcs: a web server for multiple sequence alignment evaluation and phylogenetic reconstruction |
description |
This article introduces the Transitive Consistency Score (TCS) web server; a service making it possible to estimate the local reliability of protein multiple sequence alignments (MSAs) using the TCS index. The evaluation can be used to identify the aligned positions most likely to contain structurally analogous residues and also most likely to support an accurate phylogenetic reconstruction. The TCS scoring scheme has been shown to be accurate predictor of structural alignment correctness among commonly used methods. It has also been shown to outperform common filtering schemes like Gblocks or trimAl when doing MSA post-processing prior to phylogenetic tree reconstruction. The web server is available from http://tcoffee.crg.cat/tcs. |
publisher |
Oxford University Press |
publishDate |
2015 |
url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4489230/ |
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1613243082082353152 |