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KDE Bioscience: Platform for bioinformatics analysis workflows
Bioinformatics is a dynamic research area in which a large number of algorithms and programs have been developed rapidly and independently without much consideration so far of the need for standardization. The lack of such common standards combined with unfriendly interfaces make it difficult for bi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7106075/ https://www.ncbi.nlm.nih.gov/pubmed/16260186 http://dx.doi.org/10.1016/j.jbi.2005.09.001 |
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author | Lu, Qiang Hao, Pei Curcin, Vasa He, Weizhong Li, Yuan-Yuan Luo, Qing-Ming Guo, Yi-Ke Li, Yi-Xue |
author_facet | Lu, Qiang Hao, Pei Curcin, Vasa He, Weizhong Li, Yuan-Yuan Luo, Qing-Ming Guo, Yi-Ke Li, Yi-Xue |
author_sort | Lu, Qiang |
collection | PubMed |
description | Bioinformatics is a dynamic research area in which a large number of algorithms and programs have been developed rapidly and independently without much consideration so far of the need for standardization. The lack of such common standards combined with unfriendly interfaces make it difficult for biologists to learn how to use these tools and to translate the data formats from one to another. Consequently, the construction of an integrative bioinformatics platform to facilitate biologists’ research is an urgent and challenging task. KDE Bioscience is a java-based software platform that collects a variety of bioinformatics tools and provides a workflow mechanism to integrate them. Nucleotide and protein sequences from local flat files, web sites, and relational databases can be entered, annotated, and aligned. Several home-made or 3rd-party viewers are built-in to provide visualization of annotations or alignments. KDE Bioscience can also be deployed in client-server mode where simultaneous execution of the same workflow is supported for multiple users. Moreover, workflows can be published as web pages that can be executed from a web browser. The power of KDE Bioscience comes from the integrated algorithms and data sources. With its generic workflow mechanism other novel calculations and simulations can be integrated to augment the current sequence analysis functions. Because of this flexible and extensible architecture, KDE Bioscience makes an ideal integrated informatics environment for future bioinformatics or systems biology research. |
format | Online Article Text |
id | pubmed-7106075 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71060752020-03-31 KDE Bioscience: Platform for bioinformatics analysis workflows Lu, Qiang Hao, Pei Curcin, Vasa He, Weizhong Li, Yuan-Yuan Luo, Qing-Ming Guo, Yi-Ke Li, Yi-Xue J Biomed Inform Article Bioinformatics is a dynamic research area in which a large number of algorithms and programs have been developed rapidly and independently without much consideration so far of the need for standardization. The lack of such common standards combined with unfriendly interfaces make it difficult for biologists to learn how to use these tools and to translate the data formats from one to another. Consequently, the construction of an integrative bioinformatics platform to facilitate biologists’ research is an urgent and challenging task. KDE Bioscience is a java-based software platform that collects a variety of bioinformatics tools and provides a workflow mechanism to integrate them. Nucleotide and protein sequences from local flat files, web sites, and relational databases can be entered, annotated, and aligned. Several home-made or 3rd-party viewers are built-in to provide visualization of annotations or alignments. KDE Bioscience can also be deployed in client-server mode where simultaneous execution of the same workflow is supported for multiple users. Moreover, workflows can be published as web pages that can be executed from a web browser. The power of KDE Bioscience comes from the integrated algorithms and data sources. With its generic workflow mechanism other novel calculations and simulations can be integrated to augment the current sequence analysis functions. Because of this flexible and extensible architecture, KDE Bioscience makes an ideal integrated informatics environment for future bioinformatics or systems biology research. Elsevier Inc. 2006-08 2005-10-11 /pmc/articles/PMC7106075/ /pubmed/16260186 http://dx.doi.org/10.1016/j.jbi.2005.09.001 Text en Copyright © 2005 Elsevier Inc. 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 Lu, Qiang Hao, Pei Curcin, Vasa He, Weizhong Li, Yuan-Yuan Luo, Qing-Ming Guo, Yi-Ke Li, Yi-Xue KDE Bioscience: Platform for bioinformatics analysis workflows |
title | KDE Bioscience: Platform for bioinformatics analysis workflows |
title_full | KDE Bioscience: Platform for bioinformatics analysis workflows |
title_fullStr | KDE Bioscience: Platform for bioinformatics analysis workflows |
title_full_unstemmed | KDE Bioscience: Platform for bioinformatics analysis workflows |
title_short | KDE Bioscience: Platform for bioinformatics analysis workflows |
title_sort | kde bioscience: platform for bioinformatics analysis workflows |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7106075/ https://www.ncbi.nlm.nih.gov/pubmed/16260186 http://dx.doi.org/10.1016/j.jbi.2005.09.001 |
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