Lecture 01

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Lecture Slides

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Bioinformatics is not only required to master the quantitative aspects of the post-genomic era in molecular biology, it is a qualitative change in our approach to biology as well.

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Bioinformatics can be viewed as the science that develops between the two poles of data management and computational modeling of life.

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From its beginning, it was recognized that molecular biology is an information science, just as much as a molecular science. The abstractions and models that focus on the essence of this information, rather than on the details of its representation, have proven to be remarkably powerful in explaining the basic features of life, such as inheritance, self-organization and the process of evolution.

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The promises of genome analysis include harnessing the power of self assembly towards a bio-nanotechnologic revolution: growth, rather than manufacturing. This includes the vision of regenerative molecular medicine, essentially relegating disease to the dark past ages of ignorance. But while the information for a complete specification of life is undoubtedly present in the genome, life realizes itself in complex interactions between context-dependent components. This makes life essentially unpredictable, at least to our current approaches. The sheer volume of data is a comparatively minor obstacle.

Slide 005

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The current emphasis on -omic sciences creates novel challenges both in the quantity as well as the quality of scientific enquiry. The scale has become larger; molecular components are analyzed not in isolation but in their associations;comparison between genes within and across species is a major source of new insight and the absence of particular components and features is just as informative as their presence. However the availability technology should not lead to a purely methods-driven agenda.

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http://www.ncbi.nlm.nih.gov/

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