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        <dc:title>Unlimited Thirst for Genome Sequencing,&#13;
Data Interpretation, and Database Usage in Genomic Era:The Road towards Fast-Track Crop Plant Improvement</dc:title>
        <dc:creator>Dhanapal, A P</dc:creator>
        <dc:creator>Govindaraj, M</dc:creator>
        <dc:subject>Genetics and Genomics</dc:subject>
        <dc:description>The number of sequenced crop genomes and associated genomic resources is growing rapidly with the advent of in expensive next&#13;
generation sequencing methods. Databases have become an integral part of all aspects of science research, including basic and&#13;
applied plant and animal sciences.The importance of databases keeps increasing as the volume of datasets from direct and indirect&#13;
genomics, as well as other omics approaches, keeps expanding in recent years.The databases and associated web portals provide at&#13;
a minimum a uniform set of tools and automated analysis across a wide range of crop plant genomes. This paper reviews some basic&#13;
terms and considerations in dealing with crop plant databases utilization in advancing genomic era. The utilization of databases for&#13;
variation analysis with other comparative genomics tools, and data interpretation platforms are well described. The major focus of&#13;
this review is to provide knowledge on platforms and databases for genome-based investigations of agriculturally important crop&#13;
plants.The utilization of these databases in applied crop improvement program is still being achieved widely; otherwise, the end&#13;
for sequencing is not far away</dc:description>
        <dc:publisher>Hindawi Publishing Corporation</dc:publisher>
        <dc:date>2015</dc:date>
        <dc:type>Article</dc:type>
        <dc:type>PeerReviewed</dc:type>
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        <dc:language>en</dc:language>
        <dc:identifier>http://oar.icrisat.org/8656/1/GeneticsResearchInternational_15_2015.pdf</dc:identifier>
        <dc:identifier>  Dhanapal, A P and Govindaraj, M  (2015) Unlimited Thirst for Genome Sequencing, Data Interpretation, and Database Usage in Genomic Era:The Road towards Fast-Track Crop Plant Improvement.  Genetics Research International.  pp. 1-15.  ISSN 2090-3154     </dc:identifier>
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