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An Introduction to Bioinformatics Laboratory

Comparative Genomics Outline

GCG Workshops

School of Computational Science

Biology Department

westcott building

 

Experimental Biology Lab: Comparative Genomics

Contents

1A. Lecture: Introduction (Fredrik Ronquist)

  • Introduction to the course: schedule, what is required, grades, computational
    and other resources needed for the project, practical arrangements etc.
  • What is comparative genomics?
  • Introduction to the scientific method

1B. Lab: Introduction to Linux

  • Logging in
  • Using the Linux GUI
  • Using the command line interface
  • Printing from the Linux machines

2A. Lecture: Library Resources at FSU (Presented by Michael Luesebrink)

  • Scientific publishing
  • What library resources are available at FSU?
  • How do I access these resources?
  • How do I find the information I need?
  • How do I cite the information I find in my own research papers?

2B. Lab: Literature Searching

  • Searching for literature references
  • Getting copies of papers
  • Managing references using RefManager
  • Producing bibliographies

3A. Lecture: Genomics Web Resources (Steve Thompson)

  • What web databases and resources are available for genomic research?
  • How do I get scientific literature references?
  • How do I find medical implications?
  • How do I find gene mapping information?
  • How do I get 3D structures of biological molecules?
  • What web tools are available for genomic comparisons and gene finding?
  • Introduction to the Accelrys Wisconsin Package (a k a the Genetics Computer Group - GCG)

3B. Lab: Genomics Databases and Tools

  • Using Web interfaces to genomics analyses,
    including genomic comparisons and gene finding.

4A. Lecture: Similarity Searching and Pairwise Alignment (Steve Thompson)

  • How do you discover sequence similarity and what is dynamic programming?

4B. Lab: The Accelrys Wisconsin Package and Pairwise Alignment and Searching

  • Introduction to GCG and the local databases hosted by Mendel on FSU campus
  • Searching for sequences based on sequence similarity: BLAST and FASTA
  • Find sequence data for a comparative project

5A. Lecture: Multiple Sequence Alignment (Steve Thompson)

  • How do we align more than just two sequences at the same time?

5B. Lab: Multiple Sequence Alignment

  • Multiple alignment and analysis using GCG
  • Multiple alignment using ClustalW

6A. Lecture: Phylogenetics I (Fred Ronquist)

  • Introduction to phylogenetics
  • Distance methods: UPGMA and Neighbor Joining
  • Parsimony

6B. Lab: NJ and Parsimony

  • Use PAUP for neighbor joining and parsimony analyses

7A. Lecture: Phylogenetics II (Fred Ronquist)

  • Statistical inference principles
  • Maximum likelihood inference of phylogeny
  • Bayesian inference of phylogeny

7B. Lab: Phylogenetics II

  • Use PAUP for ML analyses
  • Use MrBayes for Bayesian analyses

8A. Lecture: Phylogenetics III (Fred Ronquist)

  • Reconstructing ancestral states
  • Identifying mutations / substitutions
  • Historical biogeography
  • Classification

8B. Lab: Phylogenetics III

  • Use PAUP and MrBayes for post-tree analyses

9A. Lecture: Scientific Writing

9B. Lab: Writing a Project Proposal

  • Worth 14% of grade
  • On a chosen individual project
  • Maximum two pages (single-spaced, excluding references)
  • Proposal due Friday same week

10. Mandatory Project Counseling

  • One-to-one counseling on the project proposal
  • Revised proposal due Friday same week

11. Mandatory Project Counseling

  • One-to-one counseling on the revised project proposal

12-14. Work on Individual Project

14. Written Report Due

  • Worth 50% of grade
  • Between ten and twenty pages (double-spaced, excluding figure(s) and table(s))
  • Will be returned graded the following week

15. Oral Presentation

  • Worth 20% of grade.
  • Maximum eight minutes per student
  • Will be graded same week.
 
   
 
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