K. SEKAR, Ph.D. BIOINFORMATICS CENTRE SUPERCOMPUTER EDUCATION AND RESEARCH INDIAN INSTITUTE OF SCIENCE BANGALORE 560 012 INDIA

Slides:



Advertisements
Similar presentations
Components of GIS.
Advertisements

Nokia Technology Institute Natural Partner for Innovation.
Creating NCBI The late Senator Claude Pepper recognized the importance of computerized information processing methods for the conduct of biomedical research.
Prof. Carolina Ruiz Computer Science Department Bioinformatics and Computational Biology Program WPI WELCOME TO BCB4003/CS4803 BCB503/CS583 BIOLOGICAL.
Prentice Hall, Database Systems Week 1 Introduction By Zekrullah Popal.
Bioinformatics: Players, Problems, and Processes in Computational Biology This is a comprehensive report about the growing technology sector of bioinformatics.
Bioinformatics GIS Applications Anatoly Petrov.
Access Trisha Cummings. Access 1.Microsoft Access is a relational database management system from Microsoft, 2.Skilled software developers and data architects.
Bioinformatics Needs for the post-genomic era Dr. Erik Bongcam-Rudloff The Linnaeus Centre for Bioinformatics.
The Hierarchy of Data Bit (a binary digit): a circuit that is either on or off Byte: 8 bits Character: each byte represents a character; the basic building.
Introduction to Genomics, Bioinformatics & Proteomics Brian Rybarczyk, PhD PMABS Department of Biology University of North Carolina Chapel Hill.
Purdue University Pag. 1 CS 397 Dongyan Xu Department of Computer Science and CERIAS Purdue University Office:
Computational Biology, Part 10 Protein Structure Prediction and Display Robert F. Murphy Copyright  1996, 1999, All rights reserved.
Introduction to Systems Analysis and Design
ExPASy - Expert Protein Analysis System The bioinformatics resource portal and other resources An Overview.
Lecture-8/ T. Nouf Almujally
K. SEKAR, Ph.D. BIOINFORMATICS CENTRE INDIAN INSTITUTE OF SCIENCE BANGALORE INDIA Voice: (91) FAX : (91)
Database Systems: Design, Implementation, and Management Ninth Edition
Chapter 1 Database Systems. Good decisions require good information derived from raw facts Data is managed most efficiently when stored in a database.
Data Mining Techniques
Module 3: Business Information Systems Chapter 11: Knowledge Management.
Teaching Metadata and Networked Information Organization & Retrieval The UNT SLIS Experience William E. Moen School of Library and Information Sciences.
EUROPEAN UNION Polish Infrastructure for Supporting Computational Science in the European Research Space The Capabilities of the GridSpace2 Experiment.
CS370 Spring 2007 CS 370 Database Systems Lecture 2 Overview of Database Systems.
Bioinformatics Sean Langford, Larry Hale. What is it?  Bioinformatics is a scientific field involving many disciplines that focuses on the development.
Bioinformatics Timothy Ketcham Union College Gradutate Seminar 2003 Bioinformatics.
CSE 6406: Bioinformatics Algorithms. Course Outline
AL-MAAREFA COLLEGE FOR SCIENCE AND TECHNOLOGY INFO 232: DATABASE SYSTEMS CHAPTER 1 DATABASE SYSTEMS (Cont’d) Instructor Ms. Arwa Binsaleh.
CSC – School of Computer Science and Communication.
Fundamentals of Information Systems, Fifth Edition
Accident Prevention Manual for Business & Industry: Engineering & Technology 13th edition National Safety Council Compiled by Dr. S.D. Allen Iske, Associate.
K. SEKAR, Ph.D.. Dr. K. Sekar Bioinformatics Centre Supercomputer Education and Research Centre Indian Institute of Science Bangalore INDIA
File Processing - Database Overview MVNC1 DATABASE SYSTEMS Overview.
Melissa Armstrong – Sponsor Dr. Eck Doerry – Mentor Greg Andolshek Alex Koch Michael McCormick Department of Computer Science SolutionProblemDesign User.
ITGS Case Study Theatre Booking System Ayushi Pradhan.
3D structure -Swiss Pdb Viewer
IB ITGS Case Study. Introduction: Serving thousands of clients, it is method of environment-friendly green ticketing. User friendly system which minimizes.
 Day 59 Computer Science and Industry Exploring The Intersection Between CS and Other Fields.
Lecture 1: Overview of CSCI 485 Notes: I presented parts of this lecture as a keynote at Educator’s Symposium of OOPSLA Shahram Ghandeharizadeh Associate.
Lecture # 3 & 4 Chapter # 2 Database System Concepts and Architecture Muhammad Emran Database Systems 1.
5 - 1 Copyright © 2006, The McGraw-Hill Companies, Inc. All rights reserved.
DATABASE MANAGEMENT SYSTEMS CMAM301. Introduction to database management systems  What is Database?  What is Database Systems?  Types of Database.
Data mining. Data mining, at its core, is the transformation of large amounts of data into meaningful patterns and rules.
Biological Signal Detection for Protein Function Prediction Investigators: Yang Dai Prime Grant Support: NSF Problem Statement and Motivation Technical.
Architecture of Decision Support System
Overview of Bioinformatics 1 Module Denis Manley..
Introduction to Bioinformatics Dr. Rybarczyk, PhD University of North Carolina-Chapel Hill
AL-MAAREFA COLLEGE FOR SCIENCE AND TECHNOLOGY INFO 232: DATABASE SYSTEMS CHAPTER 1 DATABASE SYSTEMS Instructor Ms. Arwa Binsaleh.
C OMPUTING E SSENTIALS Timothy J. O’Leary Linda I. O’Leary Presentations by: Fred Bounds.
Data Mining BY JEMINI ISLAM. Data Mining Outline: What is data mining? Why use data mining? How does data mining work The process of data mining Tools.
EB3233 Bioinformatics Introduction to Bioinformatics.
Department of Industrial Engineering Sharif University of Technology Session# 9.
DATA RESOURCE MANAGEMENT
9/03 Data Mining – Introduction G Dong (WSU)1 CS499/ Data Mining Fall 2003 Professor Guozhu Dong Computer Science & Engineering WSU.
Overview of Bioinformatics Module Denis Manley.. Contact Details Lecturer Name: Denis Manley Room number: KE-1-013a
Pertemuan 16 Materi : Buku Wajib & Sumber Materi :
An Introduction to NCBI & BLAST National Center for Biotechnology Information Richard Johnston Pasadena City College.
Books Visualizing Data by Ben Fry Data Structures and Problem Solving Using C++, 2 nd edition by Mark Allen Weiss MATLAB for Engineers, 3 rd edition by.
EUROPEAN UNION Polish Infrastructure for Supporting Computational Science in the European Research Space The Capabilities of the GridSpace2 Experiment.
Data Mining Concepts and Techniques Course Presentation by Ali A. Ali Department of Information Technology Institute of Graduate Studies and Research Alexandria.
Definition, purposes/functions, elements of IR systems Lesson 1.
Presenter: Bradley Green.  What is Bioinformatics?  Brief History of Bioinformatics  Development  Computer Science and Bioinformatics  Current Applications.
Managing Data Resources File Organization and databases for business information systems.
BME435 BIOINFORMATICS.
Bioinformatics
Biological Databases By: Komal Arora.
생물정보학 Bioinformatics.
LESSON 1 INTNRODUCTION HYE-JOO KWON, Ph.D /
Applying principles of computer science in a biological context
Geographical information system: Definition and components
Presentation transcript:

K. SEKAR, Ph.D. BIOINFORMATICS CENTRE SUPERCOMPUTER EDUCATION AND RESEARCH INDIAN INSTITUTE OF SCIENCE BANGALORE INDIA Voice: (91) FAX : (91) (91) (91) IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

APPLICATIONS OF DATA MINING IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

Abstract Bioinformatics is one of the fastest growing interdisciplinary areas in the biological sciences and has explored in such a way that we need powerful tools to organize and analyze the data. An overview will be presented on the general features of data mining tools, techniques and its applications. IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

Bioinformatics is the fashionable new name for the field previously called computational biology.The name is preferred by many because it puts the emphasis on the data storage and analysis, rather than on the biology, and the field is really data driven. IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

The term Bioinformatics is used to encompass almost all computer applications in biological sciences, but was originally coined in the mid 1980’s for the analysis of biological sequence data. The quantity of known sequences data outweighs protein structural data and by virtue of the genome projects, sequence database are doubling in size every year. A key challenge of bioinformatics is to analyze the wealth of sequence data in order to understand the amassed information in term of protein structure function and evolution. Wherever possible, a range of different methods should be used, and the results should be married with all available biological information. IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

Comprises the entire collection of information management systems, analysis tools and communication networks supporting biology. Refers to database-like activities involving persistent sets of data that are maintained in a consistent state over essentially indefinite periods of time. Encompass the use of algorithmic tools to facilitate biological database analyses. IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

DATA MINING Datamining is defined as “exploration and analysis by automatic and semi-automatic means, of large quantities of data in order to discover meaningful patterns and rules”. IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

The central challenge is to derive maximum results from the wealth of data.This can be achieved by establishing and maintaining databases and providing search and analysis tools to interpret the data. IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

DATABASE Database is nothing but a collection of quantitative data resulting from experimental measurements or observations in various fields of science.Recently interest in database has been kindled through international efforts to organize and analyze the data and update the knowledge IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

A database is essentially just a store of information.They are usually in the form of simple files (just a flat file, say).You can shove information into this store or retrieve it from the store. IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

Derived Database One of the greatest challenges in database research is analyze the database in depth and create derived databases to meet the needs or demands without compromising the sustainability and quality of the existing database. Creating desired database is expected is expected to dramatically reduce the workload of the user community and will serve as a highly focused database. IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar Packages developed at the Bioinformatics Centre Raman Building Indian Institute of Science Bangalore Principal Investigator Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar Search Engines / psstProtein Sequence Search Tool /bsddBiomolecules Segment Display Device /msgsMotif Search in Genome Sequence /ssepSecondary Structural Elements in Protein Programmers 1. S.Saravanan 2. A.Ajmal Khan 3. C.K.Rajesh 4. T.Kamaraj 5. P.Selvarani 6. V.Shanthi 7. S.Sirajuddin Sheik

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar Database with Search facility /lsdbLipase Structural Database /lysdbLysozyme Structural Database /asdb3D-Amylase Database /gsdbGlobin Structural Database Programmers 1. C.K.Rajesh 2. T.Kamaraj 3. P.Sundrarajan 4. P.Selvarani 5. V.Shanthi 6. A.S.Zahir Hussain 7. S.Sirajuddin Sheik

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar Software for Structure analysis & manipulation /cap Conformation Angles Package /rp Ramachandran Plot /wap Water Analysis Package /sem Symmetry Equivalent Molecules Generator /pdbgoodies PDBGOODIES /gpsm Geometrical Parameters for Small Molecules /mbd Measurability of Biovoet difference /dtf Distribution of Temperature Factor Programmers 1. C.K.Rajesh 2. T.Kamaraj 3. P.Sundarajan 4. P.Selvarani 5. V.Shanthi 6. S.Sirajuddin Sheik

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar Present Programmers S.S. Sheik S. Das V.G. Vijay J.J. Lakshmi Ch. K. Kumar C.C. Lingam K.S. Mohan S.A. Fernando S.K. Raja

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar Water Analysis Package (WAP) V.Shanthi, C.K.Rajesh,J.Jayalakshmi,V.G.Vijay & K.Sekar J.APPL.CRYST. (2003) 36, Protein Sequence Search Tool (PSST 1.1) S.Saravanan,A.Ajmul Khan & K.Sekar CURR.SCIENCE, (2000) 550 – 552 PDB Goodies – A Web based GUI to manipulate Protein Data Bank files A.S.Z.Hussain,V.Shanthi,S.S.Sheik,J.Jeyakanthan,P.Selvarani &K.Sekar ACTA CRYST. (2002), D58, 1385 – 1386 Ramachandran Plot (RP) S.Sheik,P. Sundararajan,A.S.Z Hussain & K.Sekar BIOINFORMATICS (2002) 18,

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar CADB: Conformation Angles Data Base of proteins S.S. Sheik, P. Ananthalakshmi, G. Ramya Bhargavi & K. Sekar NUCL. ACIDS RES., (2003) SSEP: Secondary Structural Elements of Proteins V. Shanthi, P. Selvarani, Ch. K. Kumar, C.S. Mohire & K. Sekar NUCL. ACIDS RES., (2003) (In the press) SEM: Symmetry Equivalent Molecules – A web based GUI to generate and visualize the macromolecules A.S.Z. Hussain, V. Shanthi, Ch. K. Kumar, C.K. Rajesh, S.S. Sheik & K. Sekar NUCL. ACIDS RES., (2003) (In the press) Biomolecules Segment Display Device (BSDD) P.Selvarani,V.Shanthi,C.K.Rajesh,S.Saravanan & K.Sekar J.MOL. GRAPHICS & MODELLING (2003) (in press)

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar Department of Biotechnology Ministry of Science & Technology Govt. of India, India & Jai Vigyan National Science Foundation Govt. of India, India

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar Professor M. Vijayan Professor N. Balakrishnan Professor S.M. Rao Professor S. Ramakumar Colleagues and Friends

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar President of Nagoya University Professor Takashi Yamane & Other members Biotechnology & Biomaterial Science

IISc Bioinformatics Centre & Supercomputer Education and Research Centre Applications of Data Mining – Dr. K. Sekar