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Unlimited Thirst for Genome Sequencing, Data Interpretation, and Database Usage in Genomic Era: The Road towards Fast-Track Crop Plant Improvement
Author(s) -
Arun Prabhu Dhanapal,
Mahalingam Govindaraj
Publication year - 2015
Publication title -
genetics research international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 9
eISSN - 2090-3154
pISSN - 2090-3162
DOI - 10.1155/2015/684321
Subject(s) - genomics , data science , computer science , genome , database , microbiology and biotechnology , biology , biochemistry , gene
The number of sequenced crop genomes and associated genomic resources is growing rapidly with the advent of inexpensive next generation sequencing methods. Databases have become an integral part of all aspects of science research, including basic and applied plant and animal sciences. The importance of databases keeps increasing as the volume of datasets from direct and indirect genomics, as well as other omics approaches, keeps expanding in recent years. The databases and associated web portals provide at a minimum a uniform set of tools and automated analysis across a wide range of crop plant genomes. This paper reviews some basic terms and considerations in dealing with crop plant databases utilization in advancing genomic era. The utilization of databases for variation analysis with other comparative genomics tools, and data interpretation platforms are well described. The major focus of this review is to provide knowledge on platforms and databases for genome-based investigations of agriculturally important crop plants. The utilization of these databases in applied crop improvement program is still being achieved widely; otherwise, the end for sequencing is not far away.

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