Meghana Chitale
PhD candidate,
Department of Computer Sciences,
mchitale@cs.purdue.edu
Office: Room 238,
Education
2006 – Current -
2006 – 2008 -
2000 – 2004
-
Research
I am part of Kihara Lab of Bioinformatics. I have worked on Protein Function Prediction using sequence based methods. My general area of interest is Computational Biology which means applying various techniques in Computer Science to solve problems in Biology. I am also interested in learning statistical techniques and applying them to biological data for some interesting analysis. Currently we are working on advanced sequence based techniques for function prediction, functional ontologies, functional homogeneity and prediction of missing enzymes in biological pathways.
My advisor is Dr. Daisuke Kihara
I have also worked on Ecoli Hub Project as a Graduate Research Assistant in spring 2008.
I have worked with Prof. Changsoon
Park, Department of Statistics,
Link to PFP - Protein Function Prediction server maintained by Kihara Lab.
Link to ESG – Extended Similarity Group server maintained by Kihara Lab.
Publications
1. Hawkins,
T., Chitale, M., Kihara, D., New Paradigm in Protein Function Prediction for a
Large Scale Omics Analysis, Molecular BioSystems, 2007.
2. Chitale,
M., Kihara, D., Hawkins, T., Automated prediction of protein function from
sequence, A chapter in ‘Prediction of Protein Structures, Functions and
Interactions’, Edited by Janusz Bujnicki,
John Wiley & Sons, Ltd. 2008.
3. Hawkins,
T., Chitale, M., Luban, S., Kihara, D., PFP:
Automated prediction of Gene Ontology functional annotations with confidence
scores using protein sequence data, PROTEINS: Structure, Function and
Bioinformatics, 2008.
4. Chitale,
M., Hawkins, T., Park, C., Kihara, D., ESG: Extended
similarity group method for automated protein function prediction, (Extended
Abstract) Available from Nature Proceedings, npre.2008.2193.1.
5. Chitale,
M., Hawkins, T., Park, C., Kihara, D., ESG: Extended
similarity group method for automated protein function prediction,
Bioinformatics, 2009.
6. Hawkins,
T.*, Chitale, M.*, Kihara, D., Functional enrichment analyses and construction
of functional similarity networks with high confidence function prediction by
PFP, BMC Bioinformatics, 2010. (* Equal contribution)
7. Chitale,
M., Palakodety, S., Kihara, D., Quantification of
protein group coherence and pathway assignment in yeast using functional
association. (In submission)
8. Chitale,
M., Kihara, D., Computational protein function prediction: framework and challenges.
A chapter in book edited by Dr. Daisuke Kihara, Springer Verlag., 2011
9. Chitale, M., Kihara, D., Advanced sequence-based function prediction methods beyond basic homology. A chapter in book edited by Dr. Daisuke Kihara, Springer Verlag., 2011
Activities
Member of Women in Science Programs (WISP) @
Member of
Member of Computer Science Women’s Network (CSWN) @
International Students and Scholars (ISS) volunteer for orientation @ Purdue University.
Member of Mensa
Course work
Fall 2010
STAT 525 Intermediate Statistical Methodology
CS 699 Research Course
Summer 2010
CS 699 Research Course
Spring 2010
STAT 513 Statistical Quality Control
STAT 514 Design of Experiments
CS 699 Research Course
Fall 2009
STAT 506 Statistical Programming and Data Management
STAT 512 Applied Regression Analysis
GRAD 698 Computational Life Sciences Seminar
CS 699 Research Course
Summer 2009
STAT 529K Bayesian Applied Decision Theory
CS 699 Research Course
Spring 2009
STAT 517 Statistical Inference
CS 590C High Performance Computing for Bioinformatics
GRAD 698 Computational Life Sciences Seminar
CS 699 Research Course
Fall 2008
STAT 516 Basic Probability and Applications
GRAD 698 Computational Life Sciences Seminar
CS 699 Research Course
Summer 2008
STAT 511 Statistical Methods
CS 590 Protein Function Prediction using ESG
Spring 2008
CS 510 Software Engineering
CS 590B Computational Biology Foundations of Machine Learning
CS 698 Research Course
Fall 2007
CS 502 Compiling and Programming Systems
CS 573 Data Mining
CS 698 Research Course
Spring 2007
CS 530 Introduction to Scientific Visualization
CS 565 Programming Languages
CS 698 Research Course
Fall 2006
CS 503 Operating Systems
CS 580 Algorithm Design, Analysis and Implementation
CS 591C Research Seminar for first year graduate dtudents
Teaching Assistant
Course: CS 307: Software Engineering I
(for Fall 2006, Spring 2007, Fall 2007, Spring 2008, Fall
2008)