Sarve Santu Niramaya : Computational Biology 's Prom Ises for India
نویسنده
چکیده
The recent biotechnology revolution resembles information 1 (Professor of Computer Science, Mathematics, Cell Biology, Courant Institute and NYU School of Medicine; Visiting Scholar, Cold Spring Harbor Laboratory; Adjunct Professor, Tata Institute of Fundamental Research; Professor of Human Genetics, Mt Sinai School of Medicine) technology’s early days and promises similarly explosive progress and ubiquitous impact. Biotechnology has its own versions of Moore’s law; it strives to extract pertinent information from exponentially growing genomic and bio-medical (e.g., electronic health record) data; it aims to provide cheap and fast access to health and disease related information; and finally, it is poised to individualize medicine by combining statistics from large groups of patients and their relatives organized in “G2G (genome-to-genome) networks,” where people anonymously share data on their environments and ancestry. It is no wonder that at the core of the machinery driving biotechnology sits massive computational networks, and innovative computational biological algorithms. Unlike many other technologies, however, this field thrives on wideranging multi-disciplinary cooperation and collaboration, as can be seen in the birth and growth of its subfields such as: (i) genomics and other –omics spectra, (ii) bioinformatics and computational biology, (iii) whole-genome association studies (WGAS), and (iv) computational systems biology. India must prepare now to play a key leading role in this unraveling biomedical revolution with the specific goal of providing universal, ubiquitous and individualized health care to her vast and varied populace. India’s rich ethnic diversity provides a unique opportunity to translate her collective genomic information into profound scientific and public health benefits.
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تاریخ انتشار 2010