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  A primer on molecular biology

Zien, A. (2004). A primer on molecular biology. In B. Schölkopf, K. Tsuda, & J.-P. Vert (Eds.), Kernel Methods in Computational Biology (pp. 3-34). Cambridge, MA, USA: MIT Press.

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 Creators:
Zien, A1, 2, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Modern molecular biology provides a rich source of challenging machine learning problems. This tutorial chapter aims to provide the necessary biological background knowledge required to communicate with biologists and to understand and properly formalize a number of most interesting problems in this application domain. The largest part of the chapter (its first section) is devoted to the cell as the basic unit of life. Four aspects of cells are reviewed in sequence: (1) the molecules that cells make use of (above all, proteins, RNA, and DNA); (2) the spatial organization of cells (``compartmentalization''); (3) the way cells produce proteins (``protein expression''); and (4) cellular communication and evolution (of cells and organisms). In the second section, an overview is provided of the most frequent measurement technologies, data types, and data sources. Finally, important open problems in the analysis of these data (bioinformatics challenges) are briefly outlined.

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 Dates: 2004
 Publication Status: Published in print
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 Identifiers: BibTex Citekey: 2503
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Title: Kernel Methods in Computational Biology
Source Genre: Book
 Creator(s):
Schölkopf, B1, Editor            
Tsuda, K1, Editor            
Vert, J-P, Editor
Affiliations:
1 Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794            
Publ. Info: Cambridge, MA, USA : MIT Press
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 3 - 34 Identifier: ISBN: 0-262-19509-7