BIOS 477/877 Bioinformatics and Molecular Evolution (3 credits)


  HOME Schedule Links MYUNL Moriyama Lab

[Last updated: April 24, 2024]

 

Course Schedule (will be updated constantly)

NOTE — Homework assignments and due dates shown are based on the past schedule. Will be adjusted depending on how we go.

LectureDateTopicsReading*HW**Due***
1Jan 23 T
  • Introduction to bioinformatics (handout)
(Introduction to Bioinformatics by Xiong; available on Canvas) Survey Jan 26
2Jan 25 R
  • Introduction to internet resources: databases and web tools (handout)
(Ch3)
NCBI Help
PubMed Help
Entrez Help
1 Feb 1
3Jan 30 T
  • Fundamentals of Molecular Evolution (handout)
Ch4:pp71-76
Ch7:pp238-248
Molecular Evolution Reading (available on Canvas)
4Feb 1 R
  • Molecular Evolution, Part 2 (handout)
2 Feb 8
5Feb 6 T
  • Molecular Evolution, Part 3 (handout)
6Feb 8 R
  • Pairwise alignment (dotplot, dynamic programming algorithm) (handout)
Ch4:pp77-89
Ch5:pp126-139
3 Feb 11
7Feb 13 T
  • Pairwise alignment (more dynamic programming algorithm, local alignment) (handout)
G1 Mar 11
8Feb 15 R
  • Pairwise alignment (gap penalty function)
  • Introduction to substitution matrices (handout)
Ch5:pp115-126 4 Feb 22
9Feb 20 T
  • Amino acid substitution matrices (PAM & BLOSUM) (handout)
  
10Feb 22 R
  • Amino acid substitution matrices (Information theory)
  • Statistical significance of alignment scores (handout)
Ch5:pp153-1555 Feb 29
11Feb 27 T
  • Statistical significance of alignment scores
  • Similarity search (handout)
Ch4:pp93-103
Ch5:pp139-152
NCBI BLAST Help
NCBI BLAST Statistics
   
12Feb 29 R
  • Similarity search (FASTA, BLAST) (handout)
6 Mar 7
13Mar 5 T
  • Similarity search (BLAST & FASTA statistics) (handout)
  
14Mar 7 R
  • Similarity search (BLAST & FASTA statistics)
  • Multiple Alignment - Part 1 (Introduction, Clustal W) (handout)
Ch4:pp90-93
Ch6:196-211
7 Mar 21
Mar 10 - 17 Spring break    
15Mar 19 T
  • Multiple Alignment - Part 2 (T-Coffee, MAFFT, etc.) (handout)
Ch4:pp90-93
Ch6:196-211
G2 May 14
16Mar 21 R
  • Multiple Alignment - Part 3 (filtering, benchmarking)
  • Domain, motif, profile (handout)
Ch4:pp103-113
Ch6:pp165-178, 211-220
17Mar 26 T
  • Multiple Alignment - Part 4 (benchmarking)
  • Domain, motif, profile
  • PSI-BLAST (handout)
8 Apr 4
18Mar 28 R
  • Hidden Markov models
  • Profile hidden Markov models (handout)
Ch6:pp179-196
19Apr 2 T
  • Protein family/domain databases (InterPro, etc.)
  • Distance estimation - nucleotide sequences (handout)
Ch7:pp235-238, 251-255
Ch8:pp267-276
20Apr 4 R
  • Distance estimation (nucleotide and amino acid sequences) (handout)
9 Apr 11
21Apr 9 T
  • Distance estimation (synonymous and nonsynonymous substitutions)
  • Phylogenetic methods - Introduction, Distance based (UPGMA) (handout)
Ch7:pp223-235, 248-251
Ch8:pp276-313
  
22Apr 11 R
  • Phylogenetic methods (Distance based: FM, ME, NJ, Character based: MP) (handout)
10 Apr 23
23Apr 16 T
  • Phylogenetic methods (Character based: ML)
  • Tree search
  • Bootstrap analysis (handout)
  
24Apr 18 R
  • Phylogenetic methods/programs (PhyML, etc.)
  • Visualization of phylogeny (handout)
(11) optional May 5
25Apr 23 T
  • Protein structure databases (PDB, SCOP, CATH)
  • Protein secondary structure prediction (handout)
(Ch2)
Ch14:pp567-580
Ch11, Ch12
26Apr 25 R
  • Protein secondary structure prediction
  • Transmembrane region prediction (handout)
12 May 12
27Apr 30 T
  • Transmembrane region prediction
  • Protein structure prediction (strategies) (handout)
(Ch13:pp529-537)    
28May 2 R
  • Protein structure prediction (FUGUE, Phyre2, etc.)
  • Gene prediction methods (simple methods) (handout)
Ch9
Ch10
   
29May 7 T
  • Gene prediction methods (similarity methods, ab initio methods, GENSCAN, etc.) (handout)
   
30May 9 R
  • Gene prediction, genome annotation, etc. (handout)
   
May 13 - May 17 Final week  

* Recommended readings from Understanding Bioinformatics chapters. Related readings are listed in parentheses. "Printed material" will be distributed at the class or through Blackboard. Chapters 4, 7, 9, 11, 13, and 14 (shown in italics in the schedule) in Understanding Bioinformatics are Applications Chapters. These chapters are suggested to be read before Theory Chapters.
** Homework assignments are availalble from Canvas. G1, G2, ... are Graduate Only assignments. Assignment 11 is optional.
*** Each assignment is due at 11:59 pm on the specified date.