From the webpage:
BMC Bioinformatics is an open access journal publishing original peer-reviewed research articles in all aspects of the development, testing and novel application of computational and statistical methods for the modeling and analysis of all kinds of biological data, as well as other areas of computational biology. BMC Bioinformatics (ISSN 1471-2105) is indexed/tracked/covered by PubMed, MEDLINE, BIOSIS, CAS, EMBASE, Scopus, ACM, CABI, Thomson Reuters (ISI) and Google Scholar.
Let me give you a sample of what you will find here:
MINE: Module Identification in Networks by Kahn Rhrissorrakrai and Kristin C Gunsalus. BMC Bioinformatics 2011, 12:192 doi:10.1186/1471-2105-12-192.
Abstract:
Graphical models of network associations are useful for both visualizing and integrating multiple types of association data. Identifying modules, or groups of functionally related gene products, is an important challenge in analyzing biological networks. However, existing tools to identify modules are insufficient when applied to dense networks of experimentally derived interaction data. To address this problem, we have developed an agglomerative clustering method that is able to identify highly modular sets of gene products within highly interconnected molecular interaction networks.
Medicine isn’t my field by profession (although I enjoy reading about it) but it doesn’t take much to see the applicability of an “agglomerative clustering method” to other highly interconnected networks.
Reading across domain specific IR publications can help keep you from re-inventing the wheel or perhaps sparking an idea for a better wheel of your own making.