Date: Tuesday, 23 February 2016, 12 noon (Manila Time)


Abstract

This talk focuses functional inference of confirmed influenza A host factors whose role(s) in the infection are not clear. Here, we explore the impact of various parameters on network neighbourhood approaches in functional elucidation. In particular, we investigate the sources of degeneracy and false positives for solutions obtained from two integrative protein-protein interaction databases, STRING (http://string-db.org) and HIPPIE (http://cbdm-01.zdv.uni-mainz.de/~mschaefer/hippie/). Finally, we present edge- and vertex-annotation-based filtering solutions that restrict the graph to the most context-relevant network neighbourhoods.


pamela_dobayMaria Pamela Dobay, Dr. rer. nat.

Project Manager and Senior Bioinformatician
Bioinformatics Core Facility, Swiss Institute of Bioinformatics
Lausanne, Switzerland

About the Speaker

BS Molecular Biology and Biotechnology (UPD), MS Computer Science (UPD), PhD Physics (Ludwig-Maximilians-Universitaet, Munich, Germany). Staff scientist at the SIB Swiss Institute of Bioinformatics since 2012, specialising in -OMICs data analysis for haematological cancers, and in benchmarking for protein interaction-related software, with applications in virus research. Has always worked with an “Ed”: Dr. Eduardo Padlan (UPD), Dr. Eduardo Mendoza (UPD/LMU) and Dr. Edoardo Missiaglia (SIB and Centre Hopitalier Universitaire Vaud). Sings bel canto on days off from bioinformatics.