Computational Integrative Biology – on the joint analysis of diverse biological data sets

Jan Baumbach; Richard Röttger

doi:10.1039/C4IB90037E

Jump to main content

Jump to site search

SCHEDULED MAINTENANCE:

Maintenance work is planned on Thursday 2nd October 2025 from 09:00 to 10:00 BST.

During this time the performance of our website may be affected - searches may run slowly, some pages may be temporarily unavailable, and you may be unable to log in or to access content. If this happens, please try refreshing your web browser or try waiting two to three minutes before trying again.

We apologise for any inconvenience caused and thank you for your patience.

You do not have JavaScript enabled. Please enable JavaScript to access the full features of the site or access our non-JavaScript page.

Computational Integrative Biology – on the joint analysis of diverse biological data sets

Jan Baumbach*^a and Richard Röttger^b

Author affiliations

* Corresponding authors

^a Computational Biology group, Department of Mathematics and Computer Science, University of Southern Denmark, 5230 Odense, Denmark
E-mail: jan.baumbach@imada.sdu.dk

^b Practical Computer Science in BioMedicine, Department of Mathematics and Computer Science, University of Southern Denmark, 5230 Odense, Denmark

Abstract

A graphical abstract is available for this content

This article is part of the themed collection: Computational Integrative biology (IB)

Download options Please wait...

Article information

DOI: https://doi.org/10.1039/C4IB90037E
Article type: Editorial
Submitted: 25 Sep 2014
Accepted: 25 Sep 2014
First published: 09 Oct 2014

Download Citation

Integr. Biol., 2014,6, 1008-1009

Fetching data from CrossRef.
This may take some time to load.

Integrative Biology

Computational Integrative Biology – on the joint analysis of diverse biological data sets

Abstract

Article information

Download Citation

Search articles by author

Spotlight

Advertisements