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TurboFold II: RNA structural alignment and secondary structure prediction informed by multiple homologs
This paper presents TurboFold II, an extension of the TurboFold algorithm for predicting secondary structures for multiple RNA homologs. TurboFold II augments the structure prediction capabilities of TurboFold by additionally providing multiple sequence alignments. Probabilities for alignment of nuc...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5714223/ https://www.ncbi.nlm.nih.gov/pubmed/29036420 http://dx.doi.org/10.1093/nar/gkx815 |
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author | Tan, Zhen Fu, Yinghan Sharma, Gaurav Mathews, David H. |
author_facet | Tan, Zhen Fu, Yinghan Sharma, Gaurav Mathews, David H. |
author_sort | Tan, Zhen |
collection | PubMed |
description | This paper presents TurboFold II, an extension of the TurboFold algorithm for predicting secondary structures for multiple RNA homologs. TurboFold II augments the structure prediction capabilities of TurboFold by additionally providing multiple sequence alignments. Probabilities for alignment of nucleotide positions between all pairs of input sequences are iteratively estimated in TurboFold II by incorporating information from both the sequence identity and secondary structures. A multiple sequence alignment is obtained from these probabilities by using a probabilistic consistency transformation and a hierarchically computed guide tree. To assess TurboFold II, its sequence alignment and structure predictions were compared with leading tools, including methods that focus on alignment alone and methods that provide both alignment and structure prediction. TurboFold II has comparable alignment accuracy with MAFFT and higher accuracy than other tools. TurboFold II also has comparable structure prediction accuracy as the original TurboFold algorithm, which is one of the most accurate methods. TurboFold II is part of the RNAstructure software package, which is freely available for download at http://rna.urmc.rochester.edu under a GPL license. |
format | Online Article Text |
id | pubmed-5714223 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57142232017-12-08 TurboFold II: RNA structural alignment and secondary structure prediction informed by multiple homologs Tan, Zhen Fu, Yinghan Sharma, Gaurav Mathews, David H. Nucleic Acids Res Computational Biology This paper presents TurboFold II, an extension of the TurboFold algorithm for predicting secondary structures for multiple RNA homologs. TurboFold II augments the structure prediction capabilities of TurboFold by additionally providing multiple sequence alignments. Probabilities for alignment of nucleotide positions between all pairs of input sequences are iteratively estimated in TurboFold II by incorporating information from both the sequence identity and secondary structures. A multiple sequence alignment is obtained from these probabilities by using a probabilistic consistency transformation and a hierarchically computed guide tree. To assess TurboFold II, its sequence alignment and structure predictions were compared with leading tools, including methods that focus on alignment alone and methods that provide both alignment and structure prediction. TurboFold II has comparable alignment accuracy with MAFFT and higher accuracy than other tools. TurboFold II also has comparable structure prediction accuracy as the original TurboFold algorithm, which is one of the most accurate methods. TurboFold II is part of the RNAstructure software package, which is freely available for download at http://rna.urmc.rochester.edu under a GPL license. Oxford University Press 2017-11-16 2017-09-28 /pmc/articles/PMC5714223/ /pubmed/29036420 http://dx.doi.org/10.1093/nar/gkx815 Text en © The Author(s) 2017. 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. |
spellingShingle | Computational Biology Tan, Zhen Fu, Yinghan Sharma, Gaurav Mathews, David H. TurboFold II: RNA structural alignment and secondary structure prediction informed by multiple homologs |
title | TurboFold II: RNA structural alignment and secondary structure prediction informed by multiple homologs |
title_full | TurboFold II: RNA structural alignment and secondary structure prediction informed by multiple homologs |
title_fullStr | TurboFold II: RNA structural alignment and secondary structure prediction informed by multiple homologs |
title_full_unstemmed | TurboFold II: RNA structural alignment and secondary structure prediction informed by multiple homologs |
title_short | TurboFold II: RNA structural alignment and secondary structure prediction informed by multiple homologs |
title_sort | turbofold ii: rna structural alignment and secondary structure prediction informed by multiple homologs |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5714223/ https://www.ncbi.nlm.nih.gov/pubmed/29036420 http://dx.doi.org/10.1093/nar/gkx815 |
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