Start
May 07, 2010 - 10:00
End
May 07, 2010 - 11:30
Venue
Departmental Library Chemical Eng.
Event Type
Speaker
Prof. Mathew J. Palakal School of Informatics/Department of Computer & Information Science Indiana University Purdue University Indianapolis Indiana USA
Title
Discovering Novel Molecular Signatures using Text Mining and Bioinformatics Approaches
Bibliomics plays an important role in Systems Biology along with the other “omics” such as genomics proteomics metabolomics etc. During last decade the data published in biomedical literature has grown exponentially. Many text mining algorithms and approaches have been developed to extract information from the existing literature. One such important information that exists in the literature is the associations between biological entities like the genes proteins drugs diseases etc. Since experimental data is often incomplete literature data can be effectively used to augment the experimental that would facilitate in discovering the missing data points. In this talk we present a methodology to discover protein-protein interactions from literature using experimental proteomics data validation of novel interactions that are found and network analysis of the newly molecules. Finally we present a case study involving regenerative biology where we show how novel molecules discovered through literature mining can help to find the missing dots and new connections in the regeneration networks and pathways.About the Speaker: Dr. Palakal is a Professor of Informatics and Computer Science at Indiana University Purdue University Indianapolis Indiana USA. He is also the Associate Dean for Research and Graduate Program in the School of Informatics and Director of Informatics Research Institute where he is leading numerous industry and community related projects. Dr. Palakal received his PhD in Computer Science from Concordia University Montreal Canada in 1988. His lab TiMAP (Text information Mining Analysis and Prediction) is currently focusing on problems related to biomedical and health literature mining to discover domain specific knowledge. See http://regen.cs.iupui.edu/research/