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Bioinformatics:Genomicsto Phenomics and Beyond


Affiliations
1 #741, Sector 4, Panchkula 134 112, India
2 Department of Botany and Plant Physiology, CCS Haryana Agricultural University, Hisar 125 004, India
 

The commentary ‘Bioinformatics: how it helps to boost modern biological re-search’1 aptly summarizes how modern bioinformatics has moved from simple mapping and sequencing to the era of functional genomics. We would like to supplement new and exciting develop-ments which may result in an overall paradigm shift in bioinformatics and re-lated in silico data domains. First, it is to be appreciated that plant phenotyping, a relatively novel field, involves high-throughput plant phenomic platforms that accurately measure trait values and varia-bility across crop genotypes2 . A dialogue of phenomics with genomics (and vice versa) seems to be operative ushering in a big-data era that shall see a synthesis of traditional omics (genomics, transcrip-tomics, metabolomics) and phenomics as never before2,3 .
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Abstract Views: 267

PDF Views: 85




  • Bioinformatics:Genomicsto Phenomics and Beyond

Abstract Views: 267  |  PDF Views: 85

Authors

Rajiv Angrish
#741, Sector 4, Panchkula 134 112, India
Sarita Devi
Department of Botany and Plant Physiology, CCS Haryana Agricultural University, Hisar 125 004, India

Abstract


The commentary ‘Bioinformatics: how it helps to boost modern biological re-search’1 aptly summarizes how modern bioinformatics has moved from simple mapping and sequencing to the era of functional genomics. We would like to supplement new and exciting develop-ments which may result in an overall paradigm shift in bioinformatics and re-lated in silico data domains. First, it is to be appreciated that plant phenotyping, a relatively novel field, involves high-throughput plant phenomic platforms that accurately measure trait values and varia-bility across crop genotypes2 . A dialogue of phenomics with genomics (and vice versa) seems to be operative ushering in a big-data era that shall see a synthesis of traditional omics (genomics, transcrip-tomics, metabolomics) and phenomics as never before2,3 .

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DOI: https://doi.org/10.18520/cs%2Fv118%2Fi9%2F1333-1333