Download Bioinformatics Courses: CAP5510 and CGS5166 - Prof. Giri Narasimhan and more Study notes Computer Science in PDF only on Docsity! 1/10/06 CAP5510/CGS5166 1 CAP 5510: Introduction to Bioinformatics CGS 5166: Bioinformatics Tools Giri Narasimhan ECS 389; Phone: x3748 giri@cis.fiu.edu www.cis.fiu.edu/~giri/teach/BioinfS06.html 1/10/06 CAP5510/CGS5166 2 Overview of Courses • Sequence Alignment; Multiple Sequence Alignment • Sequence Analysis • Sequencing and Mapping • Phylogenetic Analysis • Gene prediction techniques • Pattern discovery techniques • Protein structure alignment and analysis • Genomics, Functional Genomics, Proteomics • Gene Expression Data Analysis • RNA Secondary structure • RNA interference and small RNA • Databases & Software Packages • Statistics for Bioinformatics • Computational Learning & Predictive Methods • Biomedical Image Analysis • Emerging Biotechnologies 1/10/06 CAP5510/CGS5166 3 Software Packages • Databases (GenBank, SwissPROT) • Programming Environments (BioPerl) • Sequence Alignment (BLAST, CLUSTALW) • Phylogenetic Analysis (CLUSTALW, Phylip, PAML) • Learning Methods (HMMPro, GeneCluster, ASOM) • Pattern Discovery Techniques (GYM, TEIRESIAS, APRIORI) • Molecular Structure Analysis (DALI, RASMOL, SPDBV) • Microarray Analysis (CLUSTER, GeneCluster, TreeView) • Statistical Software Packages (SAS, R) 1/10/06 CAP5510/CGS5166 4 Evaluation • Semester Project (50 %) • Homework Assignments (20 %) • Exams (25 %) • Class Participation (5 %) Course Homepage www.cis.fiu.edu/~giri/teach/BioinfS05.html • Lecture notes, required reading material, homework, announcements, etc. 1/10/06 CAP5510/CGS5166 5 Course Schedules • CAP 5510 (3 credits) and CGS 5166 (2 credits) will meet every Tue from 2 PM to 4:45 PM. The first half of the lecture will be meant for both classes. The second half will be more focused on the CS majors • Different exams and evaluation. • Please attend all classes regardless of registered course. 1/10/06 CAP5510/CGS5166 6 Introduction 1. What is Bioinformatics? – Analysis of biological data with computing & statistical tools. 2. The different aspects of Informatics? • Data Management (Database Technology, Internet Programming) • Analysis/Interpretation of Data (Data Mining, Modeling, Statistical Tools) • Development of Algorithms/ Data Structures • Visualization and Interface Design (HCI, Graphics) 3. How to assist biological research? • propose new models or correlations based on data from experiments • verify a proposed model using known data • propose new experiments based on model or analysis • use predicted information to narrow down search in a biological investigation
