India’s Computational Biology Growth and Challenges

被引:0
|
作者
Chiranjib Chakraborty
Sanghamitra Bandyopadhyay
Govindasamy Agoramoorthy
机构
[1] Galgotias University,Department of Bio
[2] Indian Statistical Institute,informatics, School of Computer and Information Sciences
[3] Tajen University,Machine Intelligence Unit
关键词
Bioinformatics; India; Information technology; Computational research; Development;
D O I
暂无
中图分类号
学科分类号
摘要
India’s computational science is growing swiftly due to the outburst of internet and information technology services. The bioinformatics sector of India has been transforming rapidly by creating a competitive position in global bioinformatics market. Bioinformatics is widely used across India to address a wide range of biological issues. Recently, computational researchers and biologists are collaborating in projects such as database development, sequence analysis, genomic prospects and algorithm generations. In this paper, we have presented the Indian computational biology scenario highlighting bioinformatics-related educational activities, manpower development, internet boom, service industry, research activities, conferences and trainings undertaken by the corporate and government sectors. Nonetheless, this new field of science faces lots of challenges.
引用
收藏
页码:263 / 276
页数:13
相关论文
共 50 条
  • [31] India’s higher education challenges
    Philip G. Altbach
    [J]. Asia Pacific Education Review, 2014, 15 : 503 - 510
  • [32] India's emerging economic challenges
    Kelkar, V
    [J]. ECONOMIC AND POLITICAL WEEKLY, 1999, 34 (33) : 2326 - 2329
  • [33] All biology is computational biology
    Markowetz, Florian
    [J]. PLOS BIOLOGY, 2017, 15 (03):
  • [34] Computational systems biology approaches for Parkinson’s disease
    Enrico Glaab
    [J]. Cell and Tissue Research, 2018, 373 : 91 - 109
  • [35] Synaptopathy, circuitopathy and the computational biology of Huntington's disease
    Hannan, Anthony J.
    [J]. BMC BIOLOGY, 2018, 16
  • [36] Synaptopathy, circuitopathy and the computational biology of Huntington’s disease
    Anthony J. Hannan
    [J]. BMC Biology, 16
  • [37] Michael Waterman's Contributions to Computational Biology and Bioinformatics
    Pevzner, Pavel
    Vingron, Martin
    Reidys, Christian
    Sun, Fengzhu
    Istrail, Sorin
    [J]. JOURNAL OF COMPUTATIONAL BIOLOGY, 2022, 29 (07) : 601 - 615
  • [38] Computational systems biology approaches for Parkinson's disease
    Glaab, Enrico
    [J]. CELL AND TISSUE RESEARCH, 2018, 373 (01) : 91 - 109
  • [39] Computational biology
    Christopher Surridge
    [J]. Nature, 2002, 420 : 205 - 205
  • [40] Computational biology
    [J]. INTEGRATIVE APPROACHES TO MOLECULAR BIOLOGY, 1996, : 11 - 12