In Silico Biology
An International Journal on Computational Molecular Biology
ISSN: 1386-6338 Volume 10; 6 issues
Institutional subscription (print and online) for 2010: €487 / US$682 (including postage and handling)
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Status Report: Last issue (volume 10:1,2) online on 06 May 2010
Next issue (volume 10:3) scheduled for July 2010
Aims and Scope
Editorial Board
Submission of Manuscripts
Abstracted in
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Journal Website
www.bioinfo.de/isb/
Editor-in-Chief
Prof. Dr. E. Wingender
Department of Bioinformatics
UKG
University of Göttingen
Goldschmidtstrasse 1
D-37077 Göttingen
Germany
Tel.: +49 551 39 14911
Fax:+49 551 39 14914
E-mail: e.wingender@med.uni-goettingen.de
Associate Editor
H. Michael
Göttingen
Germany
Editorial Board
| P. Bork, Stuttgart, Germany | N. Mermod, Lausanne, Switzerland |
| P. Bucher, Epalinges, Switzerland | M. Ringwald, Bar Harbor, ME, USA |
| J. Collado-Vides, Cuernavaca, Mexico | A. Sarai, Tsukuba, Japan |
| J.W. Fickett, Boston, MA, USA | H.B. Sieburg, San Diego, CA, USA |
| T. Gaasterland, New York, NY, USA | T. Takai-Igarashi, Tokyo, Japan |
| N.A. Kolchanov, Novosibirsk, Russia | T. Werner, Munich, Germany |
| D. Lonsdale, Hinxton, United Kingdom |
See instructions to authors. The considerable ‘algorithmic complexity’ of biological systems requires a huge amount of detailed information for their complete description. Although far from being complete, the overwhelming quantity of small pieces of information gathered for all kinds of biological systems at the molecular and cellular level requires computational tools for adequate storage and interpretation. Interpretation of data means to abstract them as much as allowed to provide a systematic, integrative view of biology. Most of the presently available scientific journals focus either on accumulating more data from elaborate experimental approaches, or on presenting new algorithms for the interpretation of these data. Both approaches are meritorious. However, since both communities do not sufficiently interact with each other, neither the experimental nor the computational biologists really apply the theoretical tools to an extent which would be possible and desirable to achieve that progress of research that is already feasible.
In an attempt to bridge this gap for the sake of scientific progress, In Silico Biology has been established both in print and electronically. The major focus of this journal is on the application of theoretical / mathematical / computational tools onto biological systems rather than to describe new algorithms. The basic idea is to promote the development of a more integrated view of living systems, answering the question: What can we learn for biology from this study? The computational method used may have been published earlier, but its application onto a certain molecular / cellular system should now provide some new insight into the way life is organizing itself.
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Backvolumes
1-9
Conferences
- 04-09-2010 - 07-09-2010