Intro to Bioinformatics (BIOS 443/643)

Spring 2010 Dr. Rick Johns

What the course is about

The basic concept (in my opinion): All of the instructions needed to create an organism are encoded in its DNA. Thus, one should be able to predict all of an organism’s characteristics from knowledge of its DNA sequence alone. We are a long way from being able to do this! It requires a lot of experimental data to accomplish this: there are a lot of steps between the DNA sequence and the organism’s phenotype. on the other hand, DNA sequencing is cheap and easy, while lab work is slow and expensive. Thus many organisms with completely sequenced genomes will have only minimal lab work performed on them. Bioinformatics will be needed to fill in the gaps.

Bioinformatics is the application of computers, databases, and computational techniques to the study of biological information, primarily in molecular biology.

Course Information

Meeting time Class is scheduled for MW 1-2:50, in MO 443. However, we will start at 1:15 and go to 2:30.

Office hours: MWF 9-11 or by appointment. Or just drop by, but realize that I may be busy. MO 409.

Email is the best way to contact me (rjohns@niu.edu). I am usually at my desk and the e-mail is always on. I am not too fond of telephones and almost never return calls. Given all that, if you really need to call me, my number is 753-7836.

Syllabus

Subject Matter. We are going to cover 5 main areas:        

Introduction: Biological Background 3 week Chapters 1, 2, 3
Sequence alignment 3 weeks Chapters 4, 5, 6
Phylogenetic analysis 2 weeks Chapters 7, 8
Genomics 3 weeks Chapters 9, 10
Gene expression data 2 weeks Chapters 15, 16
Protein structure 2 weeks Chapters 11, 12, 13, 14

Lecture Notes

My lecture notes will be posted below, as PowerPoint slides. I will be actively revising the notes during the semester, so please don't get too far ahead of me in printing these out.

Biology for Bioinformatics
Recombinant DNA Technology
DNA Sequencing
Changes in DNA
Databases
Sequence Alignment
Position-Specific Substitution Matrices
Multiple Sequence Alignment
Hidden Markov Models
Phylogenetics
Genome Annotation
Analysis of Gene Expression
Protein Structure

Assignments

Smith-Waterman and BLAST assignment

Useful Links

They open in new tabs.

KEGG Home page and table of contents
Metacyc Biochemical pathways, an alternative to KEGG
UniProt
SEED Viewer It doesn't require you to login.
Protein Data Bank (PDB) Structural Information about proteins
NCBI Home page


Genetics (BIOS308) home page

Programming for Bioinformatics home page