Bioinformatics in Malaysia: Hope, initiative, effort, reality, and challenges

Zeti Azura Mohamed Hussein, Mohd S. Shamsir, Khairina Tajul-Arifin, Amir F. Merican, Rahmah Mohamed, Sheila Nathan, Nor Muhammad Mahadi, Suhaimi Napis, Tin W. Tan

Research output: Contribution to journal › Article

9 Citations (Scopus)
Original languageEnglish
Article numbere1000457
JournalPLoS Computational Biology
Volume5
Issue number8
DOIs
Publication statusPublished - Aug 2009

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Biodiversity
bioinformatics
Malaysia
Computational Biology
Bioinformatics
Genomics
genomics
Industry
biodiversity
Technology
industry
Research
Human

ASJC Scopus subject areas

  • Cellular and Molecular Neuroscience
  • Ecology
  • Molecular Biology
  • Genetics
  • Ecology, Evolution, Behavior and Systematics
  • Modelling and Simulation
  • Computational Theory and Mathematics

Cite this

Bioinformatics in Malaysia : Hope, initiative, effort, reality, and challenges. / Mohamed Hussein, Zeti Azura; Shamsir, Mohd S.; Tajul-Arifin, Khairina; Merican, Amir F.; Mohamed, Rahmah; Nathan, Sheila; Mahadi, Nor Muhammad; Napis, Suhaimi; Tan, Tin W.

In: PLoS Computational Biology, Vol. 5, No. 8, e1000457, 08.2009.

Research output: Contribution to journal › Article

Mohamed Hussein, ZA, Shamsir, MS, Tajul-Arifin, K, Merican, AF, Mohamed, R, Nathan, S, Mahadi, NM, Napis, S & Tan, TW 2009, 'Bioinformatics in Malaysia: Hope, initiative, effort, reality, and challenges', PLoS Computational Biology, vol. 5, no. 8, e1000457. https://doi.org/10.1371/journal.pcbi.1000457
Mohamed Hussein ZA, Shamsir MS, Tajul-Arifin K, Merican AF, Mohamed R, Nathan S et al. Bioinformatics in Malaysia: Hope, initiative, effort, reality, and challenges. PLoS Computational Biology. 2009 Aug;5(8). e1000457. https://doi.org/10.1371/journal.pcbi.1000457
Mohamed Hussein, Zeti Azura ; Shamsir, Mohd S. ; Tajul-Arifin, Khairina ; Merican, Amir F. ; Mohamed, Rahmah ; Nathan, Sheila ; Mahadi, Nor Muhammad ; Napis, Suhaimi ; Tan, Tin W. / Bioinformatics in Malaysia : Hope, initiative, effort, reality, and challenges. In: PLoS Computational Biology. 2009 ; Vol. 5, No. 8.
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