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Genome-Scale Computational Biology and Bioinformatics in Australia
Author(s) -
Mark A. Ragan,
Tim Littlejohn,
Bruce Ross
Publication year - 2008
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1000068
Subject(s) - biology , computational biology , genome , evolutionary biology , genome biology , bioinformatics , scale (ratio) , genomics , human evolutionary genetics , data science , genetics , computer science , geography , gene , cartography
Australia enjoys a high international reputation for research in experimental genetics, molecular and cell biology, animal and plant sciences, biotechnology, medicine, biodiversity, and ecological modelling. Computational research is broadly established in these domain areas and others relevant to bioscience. Combined with strong traditions in mathematics and statistics, and national and state investment in computational infrastructure, computational biology Down Under is simply too rich and diverse to be done justice in these few pages. Here we (see Box 1 Authors' Biographies) focus more narrowly, attempting to provide a snapshot of bioinformatic and computational genome-scale biology in Australia circa 2008.

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