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JABAWS 2.2 distributed web services for Bioinformatics: protein disorder, conservation and RNA secondary structure
SUMMARY: JABAWS 2.2 is a computational framework that simplifies the deployment of web services for Bioinformatics. In addition to the five multiple sequence alignment (MSA) algorithms in JABAWS 1.0, JABAWS 2.2 includes three additional MSA programs (Clustal Omega, MSAprobs, GLprobs), four protein d...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5972556/ https://www.ncbi.nlm.nih.gov/pubmed/29390042 http://dx.doi.org/10.1093/bioinformatics/bty045 |
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author | Troshin, Peter V Procter, James B Sherstnev, Alexander Barton, Daniel L Madeira, Fábio Barton, Geoffrey J |
author_facet | Troshin, Peter V Procter, James B Sherstnev, Alexander Barton, Daniel L Madeira, Fábio Barton, Geoffrey J |
author_sort | Troshin, Peter V |
collection | PubMed |
description | SUMMARY: JABAWS 2.2 is a computational framework that simplifies the deployment of web services for Bioinformatics. In addition to the five multiple sequence alignment (MSA) algorithms in JABAWS 1.0, JABAWS 2.2 includes three additional MSA programs (Clustal Omega, MSAprobs, GLprobs), four protein disorder prediction methods (DisEMBL, IUPred, Ronn, GlobPlot), 18 measures of protein conservation as implemented in AACon, and RNA secondary structure prediction by the RNAalifold program. JABAWS 2.2 can be deployed on a variety of in-house or hosted systems. JABAWS 2.2 web services may be accessed from the Jalview multiple sequence analysis workbench (Version 2.8 and later), as well as directly via the JABAWS command line interface (CLI) client. JABAWS 2.2 can be deployed on a local virtual server as a Virtual Appliance (VA) or simply as a Web Application Archive (WAR) for private use. Improvements in JABAWS 2.2 also include simplified installation and a range of utility tools for usage statistics collection, and web services querying and monitoring. The JABAWS CLI client has been updated to support all the new services and allow integration of JABAWS 2.2 services into conventional scripts. A public JABAWS 2 server has been in production since December 2011 and served over 800 000 analyses for users worldwide. AVAILABILITY AND IMPLEMENTATION: JABAWS 2.2 is made freely available under the Apache 2 license and can be obtained from: http://www.compbio.dundee.ac.uk/jabaws. |
format | Online Article Text |
id | pubmed-5972556 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-59725562018-06-04 JABAWS 2.2 distributed web services for Bioinformatics: protein disorder, conservation and RNA secondary structure Troshin, Peter V Procter, James B Sherstnev, Alexander Barton, Daniel L Madeira, Fábio Barton, Geoffrey J Bioinformatics Applications Notes SUMMARY: JABAWS 2.2 is a computational framework that simplifies the deployment of web services for Bioinformatics. In addition to the five multiple sequence alignment (MSA) algorithms in JABAWS 1.0, JABAWS 2.2 includes three additional MSA programs (Clustal Omega, MSAprobs, GLprobs), four protein disorder prediction methods (DisEMBL, IUPred, Ronn, GlobPlot), 18 measures of protein conservation as implemented in AACon, and RNA secondary structure prediction by the RNAalifold program. JABAWS 2.2 can be deployed on a variety of in-house or hosted systems. JABAWS 2.2 web services may be accessed from the Jalview multiple sequence analysis workbench (Version 2.8 and later), as well as directly via the JABAWS command line interface (CLI) client. JABAWS 2.2 can be deployed on a local virtual server as a Virtual Appliance (VA) or simply as a Web Application Archive (WAR) for private use. Improvements in JABAWS 2.2 also include simplified installation and a range of utility tools for usage statistics collection, and web services querying and monitoring. The JABAWS CLI client has been updated to support all the new services and allow integration of JABAWS 2.2 services into conventional scripts. A public JABAWS 2 server has been in production since December 2011 and served over 800 000 analyses for users worldwide. AVAILABILITY AND IMPLEMENTATION: JABAWS 2.2 is made freely available under the Apache 2 license and can be obtained from: http://www.compbio.dundee.ac.uk/jabaws. Oxford University Press 2018-06-01 2018-01-30 /pmc/articles/PMC5972556/ /pubmed/29390042 http://dx.doi.org/10.1093/bioinformatics/bty045 Text en © The Author(s) 2018. Published by Oxford University Press. 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 | Applications Notes Troshin, Peter V Procter, James B Sherstnev, Alexander Barton, Daniel L Madeira, Fábio Barton, Geoffrey J JABAWS 2.2 distributed web services for Bioinformatics: protein disorder, conservation and RNA secondary structure |
title | JABAWS 2.2 distributed web services for Bioinformatics: protein disorder, conservation and RNA secondary structure |
title_full | JABAWS 2.2 distributed web services for Bioinformatics: protein disorder, conservation and RNA secondary structure |
title_fullStr | JABAWS 2.2 distributed web services for Bioinformatics: protein disorder, conservation and RNA secondary structure |
title_full_unstemmed | JABAWS 2.2 distributed web services for Bioinformatics: protein disorder, conservation and RNA secondary structure |
title_short | JABAWS 2.2 distributed web services for Bioinformatics: protein disorder, conservation and RNA secondary structure |
title_sort | jabaws 2.2 distributed web services for bioinformatics: protein disorder, conservation and rna secondary structure |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5972556/ https://www.ncbi.nlm.nih.gov/pubmed/29390042 http://dx.doi.org/10.1093/bioinformatics/bty045 |
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