COT 6936/ CAP 6990

Topics in Algorithms: Bioinformatics/ Bioinformatics Tools

Professor: Giri NARASIMHAN

Office: ECS 389; Phone 348-3748; E-mail: giri@cs.fiu.edu

Class: TR 9:30-10:45 AM in Room ECS 136

 

q        Course Outline: COT 6936; CAP 6990.

q        Reading Material: Click Here.

q        Final Exam: 2-hour exam on Tuesday December 10, 9:30 AM in class. It will be an Open Book exam (You may bring: the 2 course texts & printouts of class lectures from the course web page). Questions will be based on whatever was covered in class (including the student presentations!). 

q        Homework: Homework 1 (Due 10/2); Homework 2 (Due 10/17); Homework 3 (Due 11/14).

q        Frequently Asked Questions about homework assignments: FAQs

q        Presentation Schedule for Project.

q        Projects Homepage (Reports, Presentations) : Click Here.

q        Lecture Transparencies:

(Lectures marked with an * are for both COT 6936 and CAP 6990.)

o       * Lecture 1 08/29 [Overview of Bioinformatics]; Relevant Reading.

o       * Lecture 2 09/03 [Molecular Biology Overview]; See Bio-Preliminaries.

o       * Lecture 3 09/05 [Statistics Overview]; See Stat-Preliminaries.

o       * Lecture 4 09/10 [String Matching & Global Sequence Alignment]; Relevant Reading.

o       * Lecture 5 09/12 [Global/Local Alignment]

o          Lecture 6 09/17 [BioPerl, Substitution Matrices, BLAST, FASTA]; Relevant Reading.

o       * Lecture 7 09/19 [Substitution Matrices, BLAST, FASTA]; Relevant Reading.

o       * Lecture 8 09/24 [GenBank, SWISS-PROT, Multiple Alignments]; Relevant Reading.

o       * Lecture 9 09/26 [Hidden Markov Models & Pairwise Alignments]; Relevant Reading.

o       * Lecture 10 10/1 [Hidden Markov Models & HMM Profiles]; Relevant Reading.

o       * Lecture 11 10/3 [Gene Prediction & Protein Structure Basics]; Relevant Reading.

o          Lecture 12 10/8 [Secondary Structures; Motif Detection; Pattern Discovery]; Relevant Reading.

o       * Lecture 13 10/10 [Tertiary Structures; Structural Classification]; Relevant Reading.

o          Lecture 14 10/15 [Gene Expression; Hierarchical & K-Means Clustering]; Relevant Reading.

o       * Lecture 15 10/17 [Self-Organizing Maps & Neural Networks]; Relevant Reading.

o          Lecture 16; 10/22 [Decision Trees; SVMs]; Relevant Reading.

o      * Lecture 17; 10/24 [SVMs; Genomics, Proteomics, STS, EST]; Relevant Reading.

o          Lecture 18; 10/29 [Molecular Biology Overview, PCR]; Relevant Reading.

o       * Lecture 19; 10/31 [Gels & 2D-Gels; Sequencing]; Download Multimedia presentation; Relevant Reading.

o          Lecture 20; 11/5 [Phylogenetic Trees, Distance-based tree construction]; Relevant Reading.

o       * Lecture 21; 11/7 [Phylogenetic Tree Construction: MP & ML Methods]; Relevant Reading.

o          Lecture 22; 11/12 [Perl & BioPerl]; Relevant Reading.

o       * Lecture 23; 11/14 [Genetic Mapping, Physical Mapping, Partial Digest Problem]; Relevant Reading.

o          Lecture 24; 11/19 [Protein Structure Prediction]; Relevant Reading.

o       * Lecture 25; 11/21 [Zhan/Zhao, Deng (Part I)/Sun (Part II), Yan, Cazalis]

o       * Lecture 26; 11/26 [Yang/Wang, Milledge, D'Cunha/Hu]

o       * Lecture 27 03/12; [Wei, LiangLi, Buendia, Rodriguez, Dai/Wu]