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SeqFIRE: a web application for automated extraction of indel regions and conserved blocks from protein multiple sequence alignments

Analyses of multiple sequence alignments generally focus on well-defined conserved sequence blocks, while the rest of the alignment is largely ignored or discarded. This is especially true in phylogenomics, where large multigene datasets are produced through automated pipelines. However, some of the...

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Autores principales: Ajawatanawong, Pravech, Atkinson, Gemma C., Watson-Haigh, Nathan S., MacKenzie, Bryony, Baldauf, Sandra L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394284/
https://www.ncbi.nlm.nih.gov/pubmed/22693213
http://dx.doi.org/10.1093/nar/gks561
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author Ajawatanawong, Pravech
Atkinson, Gemma C.
Watson-Haigh, Nathan S.
MacKenzie, Bryony
Baldauf, Sandra L.
author_facet Ajawatanawong, Pravech
Atkinson, Gemma C.
Watson-Haigh, Nathan S.
MacKenzie, Bryony
Baldauf, Sandra L.
author_sort Ajawatanawong, Pravech
collection PubMed
description Analyses of multiple sequence alignments generally focus on well-defined conserved sequence blocks, while the rest of the alignment is largely ignored or discarded. This is especially true in phylogenomics, where large multigene datasets are produced through automated pipelines. However, some of the most powerful phylogenetic markers have been found in the variable length regions of multiple alignments, particularly insertions/deletions (indels) in protein sequences. We have developed Sequence Feature and Indel Region Extractor (SeqFIRE) to enable the automated identification and extraction of indels from protein sequence alignments. The program can also extract conserved blocks and identify fast evolving sites using a combination of conservation and entropy. All major variables can be adjusted by the user, allowing them to identify the sets of variables most suited to a particular analysis or dataset. Thus, all major tasks in preparing an alignment for further analysis are combined in a single flexible and user-friendly program. The output includes a numbered list of indels, alignments in NEXUS format with indels annotated or removed and indel-only matrices. SeqFIRE is a user-friendly web application, freely available online at www.seqfire.org/.
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spelling pubmed-33942842012-07-30 SeqFIRE: a web application for automated extraction of indel regions and conserved blocks from protein multiple sequence alignments Ajawatanawong, Pravech Atkinson, Gemma C. Watson-Haigh, Nathan S. MacKenzie, Bryony Baldauf, Sandra L. Nucleic Acids Res Articles Analyses of multiple sequence alignments generally focus on well-defined conserved sequence blocks, while the rest of the alignment is largely ignored or discarded. This is especially true in phylogenomics, where large multigene datasets are produced through automated pipelines. However, some of the most powerful phylogenetic markers have been found in the variable length regions of multiple alignments, particularly insertions/deletions (indels) in protein sequences. We have developed Sequence Feature and Indel Region Extractor (SeqFIRE) to enable the automated identification and extraction of indels from protein sequence alignments. The program can also extract conserved blocks and identify fast evolving sites using a combination of conservation and entropy. All major variables can be adjusted by the user, allowing them to identify the sets of variables most suited to a particular analysis or dataset. Thus, all major tasks in preparing an alignment for further analysis are combined in a single flexible and user-friendly program. The output includes a numbered list of indels, alignments in NEXUS format with indels annotated or removed and indel-only matrices. SeqFIRE is a user-friendly web application, freely available online at www.seqfire.org/. Oxford University Press 2012-07 2012-06-11 /pmc/articles/PMC3394284/ /pubmed/22693213 http://dx.doi.org/10.1093/nar/gks561 Text en © The Author(s) 2012. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Ajawatanawong, Pravech
Atkinson, Gemma C.
Watson-Haigh, Nathan S.
MacKenzie, Bryony
Baldauf, Sandra L.
SeqFIRE: a web application for automated extraction of indel regions and conserved blocks from protein multiple sequence alignments
title SeqFIRE: a web application for automated extraction of indel regions and conserved blocks from protein multiple sequence alignments
title_full SeqFIRE: a web application for automated extraction of indel regions and conserved blocks from protein multiple sequence alignments
title_fullStr SeqFIRE: a web application for automated extraction of indel regions and conserved blocks from protein multiple sequence alignments
title_full_unstemmed SeqFIRE: a web application for automated extraction of indel regions and conserved blocks from protein multiple sequence alignments
title_short SeqFIRE: a web application for automated extraction of indel regions and conserved blocks from protein multiple sequence alignments
title_sort seqfire: a web application for automated extraction of indel regions and conserved blocks from protein multiple sequence alignments
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394284/
https://www.ncbi.nlm.nih.gov/pubmed/22693213
http://dx.doi.org/10.1093/nar/gks561
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