Title |
Workflow management systems for gene sequence analysis and evolutionary studies – A Review
|
Authors |
Anu Sharma*, Anil Rai & SB Lal
|
Affiliation |
Centre for Agricultural Bioinformatics, Indian Agricultural Statistics Research Institute, Library Avenue, Pusa, New Delhi - 110012 |
|
anu@iasri.res.in; *Corresponding author |
Article Type |
Current trends |
Date |
Received February 19, 2013; Accepted February 23, 2013; Published July 17, 2013
|
Abstract |
Post ‘omic’ era has resulted in the development of many primary, secondary and derived databases. Many analytical and visualization bioinformatics tools have been developed to manage and analyze the data available through large sequencing projects. Availability of heterogeneous databases and tools make it difficult for researchers to access information from varied sources and run different bioinformatics tools to get desired analysis done. Building integrated bioinformatics platforms is one of the most challenging tasks that bioinformatics community is facing. Integration of various databases, tools and algorithm is a challenging problem to deal with. This article describes the bioinformatics analysis workflow management systems that are developed in the area of gene sequence analysis and phylogeny. This article will be useful for biotechnologists, molecular biologists, computer scientists and statisticians engaged in computational biology and bioinformatics research. |
Keywords |
Analysis, bioinformatics, databases, phylogeny, integration, workflows.
|
Citation |
Sharma et al.
Bioinformation 9(13): 663-672 (2013) |
Edited by |
P Kangueane
|
ISSN |
0973-2063
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Publisher |
|
License |
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License. |