Open Access Open Access  Restricted Access Subscription Access

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 .
User
Notifications
Font Size

  • Barik, S., Rai, N., Mishra, P., Singh, S. K. and Gautam, V., Curr. Sci., 2020, 118, 589–599.
  • Pratap, A. et al., Agronomy, 2019, 10, 126.
  • Zhao, G. Y. J., Guo, X., Wen, W., Gu, S., Wang, J. and Fan, J., Front. Plant. Sci., 2019, 10, 714.
  • Grinberg, N. F., Orhobor, O. I. and King, R. D.,Mach. Learn., 2020, 109, 251–277.
  • Morgan, T. J., Herman, M. A., Johnson, L. C., Olson, B. J. C. S. and Ungerer, M. C., Genome, 2018, 6, 5–7.

Abstract Views: 428

PDF Views: 152




  • Bioinformatics:Genomicsto Phenomics and Beyond

Abstract Views: 428  |  PDF Views: 152

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 .

References





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