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Beyond Mfold: Recent advances in RNA bioinformatics
Computational analysis of RNA secondary structure is a classical field of biosequence analysis, which has recently gained momentum due to the manyfold regulatory functions of RNA that have become apparent. We present five recent computational approaches that address the problems of synoptic folding...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125698/ https://www.ncbi.nlm.nih.gov/pubmed/16530285 http://dx.doi.org/10.1016/j.jbiotec.2006.01.034 |
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author | Reeder, Jens Höchsmann, Matthias Rehmsmeier, Marc Voss, Björn Giegerich, Robert |
author_facet | Reeder, Jens Höchsmann, Matthias Rehmsmeier, Marc Voss, Björn Giegerich, Robert |
author_sort | Reeder, Jens |
collection | PubMed |
description | Computational analysis of RNA secondary structure is a classical field of biosequence analysis, which has recently gained momentum due to the manyfold regulatory functions of RNA that have become apparent. We present five recent computational approaches that address the problems of synoptic folding space analysis, pseudoknot prediction, structure alignment, comparative structure prediction, and miRNA target prediction. All these programs are in current use and are available via the Bielefeld Bioinformatics Server at http://bibiserv.techfak.uni-bielefeld.de. |
format | Online Article Text |
id | pubmed-7125698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71256982020-04-08 Beyond Mfold: Recent advances in RNA bioinformatics Reeder, Jens Höchsmann, Matthias Rehmsmeier, Marc Voss, Björn Giegerich, Robert J Biotechnol Article Computational analysis of RNA secondary structure is a classical field of biosequence analysis, which has recently gained momentum due to the manyfold regulatory functions of RNA that have become apparent. We present five recent computational approaches that address the problems of synoptic folding space analysis, pseudoknot prediction, structure alignment, comparative structure prediction, and miRNA target prediction. All these programs are in current use and are available via the Bielefeld Bioinformatics Server at http://bibiserv.techfak.uni-bielefeld.de. Elsevier B.V. 2006-06-25 2006-03-10 /pmc/articles/PMC7125698/ /pubmed/16530285 http://dx.doi.org/10.1016/j.jbiotec.2006.01.034 Text en Copyright © 2006 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Reeder, Jens Höchsmann, Matthias Rehmsmeier, Marc Voss, Björn Giegerich, Robert Beyond Mfold: Recent advances in RNA bioinformatics |
title | Beyond Mfold: Recent advances in RNA bioinformatics |
title_full | Beyond Mfold: Recent advances in RNA bioinformatics |
title_fullStr | Beyond Mfold: Recent advances in RNA bioinformatics |
title_full_unstemmed | Beyond Mfold: Recent advances in RNA bioinformatics |
title_short | Beyond Mfold: Recent advances in RNA bioinformatics |
title_sort | beyond mfold: recent advances in rna bioinformatics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125698/ https://www.ncbi.nlm.nih.gov/pubmed/16530285 http://dx.doi.org/10.1016/j.jbiotec.2006.01.034 |
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