HomologyClassification: Detecting remote homologs as a classification problem

Detecting whether two proteins are homologs is one of the fundamental problems in bioinformatics. Classically, their sequence similarity is measured with a sequence alignment score and a decision about homology is made using score statistics. How well one can solve this classification problem is strongly influenced by the assumptions necessary for the statistics to hold. We use an approach based on Support Vector Machines to address this problem.

For further information contact Alexander Schliep (alexander@schlieplab.org).


Members: Alexander Schliep, Alexander Schliep. Collaborators: Lars Arvestad (Department of Computational Biology, KTH, Stockholm), Dennis Kostka (Gladstone Institute of Cardiovascular Disease, UCSF).