Unlimited Thirst for Genome Sequencing, Data Interpretation, and Database Usage in Genomic Era: The Road towards Fast-Track Crop Plant Improvement
Identifieur interne : 000058 ( Main/Exploration ); précédent : 000057; suivant : 000059Unlimited Thirst for Genome Sequencing, Data Interpretation, and Database Usage in Genomic Era: The Road towards Fast-Track Crop Plant Improvement
Auteurs : Arun Prabhu Dhanapal [États-Unis] ; Mahalingam Govindaraj [Inde]Source :
- Genetics Research International [ 2090-3154 ] ; 2015.
Abstract
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.
Url:
DOI: 10.1155/2015/684321
PubMed: 25874133
PubMed Central: 4383144
Affiliations:
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Unlimited Thirst for Genome Sequencing, Data Interpretation, and Database Usage in Genomic Era: The Road towards Fast-Track Crop Plant Improvement</title><author><name sortKey="Dhanapal, Arun Prabhu" sort="Dhanapal, Arun Prabhu" uniqKey="Dhanapal A" first="Arun Prabhu" last="Dhanapal">Arun Prabhu Dhanapal</name><affiliation wicri:level="2"><nlm:aff id="I1">Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Division of Plant Sciences, University of Missouri, Columbia, MO 65211</wicri:regionArea><placeName><region type="state">Missouri (État)</region></placeName></affiliation></author><author><name sortKey="Govindaraj, Mahalingam" sort="Govindaraj, Mahalingam" uniqKey="Govindaraj M" first="Mahalingam" last="Govindaraj">Mahalingam Govindaraj</name><affiliation wicri:level="1"><nlm:aff id="I2">International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502324, India</nlm:aff><country xml:lang="fr">Inde</country><wicri:regionArea>International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502324</wicri:regionArea><wicri:noRegion>Patancheru 502324</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">25874133</idno><idno type="pmc">4383144</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383144</idno><idno type="RBID">PMC:4383144</idno><idno type="doi">10.1155/2015/684321</idno><date when="2015">2015</date><idno type="wicri:Area/Pmc/Corpus">000705</idno><idno type="wicri:Area/Pmc/Curation">000705</idno><idno type="wicri:Area/Pmc/Checkpoint">000053</idno><idno type="wicri:Area/Ncbi/Merge">000621</idno><idno type="wicri:Area/Ncbi/Curation">000621</idno><idno type="wicri:Area/Ncbi/Checkpoint">000621</idno><idno type="wicri:doubleKey">2090-3154:2015:Dhanapal A:unlimited:thirst:for</idno><idno type="wicri:Area/Main/Merge">000058</idno><idno type="wicri:Area/Main/Curation">000058</idno><idno type="wicri:Area/Main/Exploration">000058</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Unlimited Thirst for Genome Sequencing, Data Interpretation, and Database Usage in Genomic Era: The Road towards Fast-Track Crop Plant Improvement</title><author><name sortKey="Dhanapal, Arun Prabhu" sort="Dhanapal, Arun Prabhu" uniqKey="Dhanapal A" first="Arun Prabhu" last="Dhanapal">Arun Prabhu Dhanapal</name><affiliation wicri:level="2"><nlm:aff id="I1">Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Division of Plant Sciences, University of Missouri, Columbia, MO 65211</wicri:regionArea><placeName><region type="state">Missouri (État)</region></placeName></affiliation></author><author><name sortKey="Govindaraj, Mahalingam" sort="Govindaraj, Mahalingam" uniqKey="Govindaraj M" first="Mahalingam" last="Govindaraj">Mahalingam Govindaraj</name><affiliation wicri:level="1"><nlm:aff id="I2">International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502324, India</nlm:aff><country xml:lang="fr">Inde</country><wicri:regionArea>International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502324</wicri:regionArea><wicri:noRegion>Patancheru 502324</wicri:noRegion></affiliation></author></analytic><series><title level="j">Genetics Research International</title><idno type="ISSN">2090-3154</idno><idno type="eISSN">2090-3162</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>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. 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Smith</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>Inde</li><li>États-Unis</li></country><region><li>Missouri (État)</li></region></list><tree><country name="États-Unis"><region name="Missouri (État)"><name sortKey="Dhanapal, Arun Prabhu" sort="Dhanapal, Arun Prabhu" uniqKey="Dhanapal A" first="Arun Prabhu" last="Dhanapal">Arun Prabhu Dhanapal</name></region></country><country name="Inde"><noRegion><name sortKey="Govindaraj, Mahalingam" sort="Govindaraj, Mahalingam" uniqKey="Govindaraj M" first="Mahalingam" last="Govindaraj">Mahalingam Govindaraj</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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