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New Advances and Results on Mathematical Genomics
INVITED TALK FEATURING
P
Pabitra Pal Choudhury, Ph.D
Professor of Computer Science
Ex-Member Secretary, Board of Directors
International Statistical Educational Center (ISEC), ISI, Kolkata
Friday, June 28th - 2:00 PM – 3:00 PM
Brickyard - BYENG 210
,
Abstract:
In our Home of Mathematical Genomics (www.isical.ac.in/~hmg/) we started working with Human Olfactory Receptors (OR). In my presentation talk I will start
with our OR model. Then, described below are proposed methods for the classification of a group of related proteins into subgroups based on their
structures. This finer classification will help to develop hypothesis concerning the functions of the proteins. Similarly, analysis of their gene sequences would help
to track the path of their evolution.
CLASSIFICATION OF PROTEINS
Methodology 1: Classification of n-variable Boolean Function and their Application
A. Classification of Boolean functions
B. Application of Boolean functions of each class to bring out similarities and dissimilarities between the proteins under study
Methodology 2: Generating Indicator Matrix and Its Quantification of Amino Acid Sequence
Methodology 3: Finding Similarities and Dissimilarities between Three Dimensional Structures of Two Proteins Using Mathematical Morphology
BIO:
Pabitra Pal Choudhury is a Professor of Computer Science with special research emphasis on Reliable computer network design, Theory and Applications of 2dimensional cellular automata, Statistical analysis of algorithm's complexity, Fractal Technology, Genomics with the Applied Statistics Unit Indian Statistical
Institute, Kolkata, India.
Professional Experience: June 1998 to Present: Professor in the Applied Statistics Unit, Indian Statistical Institute Duties: Teaching at undergraduate and post graduate
level, Research in areas of interest as indicated in 2 above Research Projects having time bound objectives.
Jan. 2000 to May 2001: Faculty in the Dept. of Mathematics and Computer Science, Claflin University, South Carolina, USA as Professor.
June 1991 to May 1998: Faculty in the grade of Associate Professor in the Applied Statistics Unit, Indian Statistical Institute
Dec. 1981 to May 1991: Faculty in the grade of lecturer (UGC Scale), other things are same as above.
Oct.1978 to Nov. 1981: Worked in CMC, DCM Data products and in ISI as Computer Engineer.
Academic Qualifications: Ph.D (Tech) Degree in Computer Science from the University of Calcutta, India in April 1990.
Title of thesis and Specific Area: “A study on the design of Self-diagnosable systems”. A new diagnostic logic graph (D L graph) introduced for the better understanding of all
self-diagnosable system models. Also a number of new transparent results leading to the necessary and sufficient conditions for a system to be diagnosable were found out with
various B.Tech in Radio Physics and Electronics: Degree with first class in 1978 from the Institute of Radio physics and Electronics, University of Calcutta.
Three year post graduate course.
B.Sc. with Honors in Physics: Degree obtained in 1975 and ranked 12th in the University of Calcutta.
Teaching Experience: Twenty nine years of teaching experience.
Courses taught at M.Tech& B.STAT courses
1. Operating Systems, (Compulsory course) from 1988 to 1999 in M. Tech. Computer Science, ISI Kolkata.
2. Programming Techniques (Data Structures using C) Compulsory courses taught in 1992 and 2003-2005, in M. Tech. QROR. From 2006-2009, B.STAT, 1st year course.
3. Analysis of algorithm, Compulsory course taught jointly in 1992.
4. Cryptology, Optional course taught jointly during 1994-1996
5. Digital Circuits and Systems, Programming Language taught in a discrete manner during 1983-1988.
Class Notes: Teaching various courses from 1983 to 2009 have resulted in comprehensive class Notes.
Books:
1. “On operating system principles and design” published by PHI (India) in June, 2009. - http://www.phindia.com/bookdetail.php?isbn=978-81-203-3811-1
2. “Cellular Automata Rules: Analysis and Applications” manuscript almost complete and agreement signed with the publishing house.
3. Data structure using C language for Scientist and commercial users (under preparation).