2011 Berkeley Workshop

Introduction

1. Who has used CoGe?
2. Preamble:
   1. Store any verison of any genome from all of life
   2. Interconnected tools to analyze genomes at multiple levels of resolution
   3. Emphasis on exploring genomes as a biologist would an organism
3. General types of research questions:
   1. I am interested in a group of organisms. . .
   2. I am interested in a group of genes . . .
   3. CoGe has tools to help answer questions in light of genome structure, dynamics, and evolution
4. Who are you?
   1. Name
   2. Genes and genomes of interest
   3. Anything particular you'd like to know by the end of the workshop
5. Workshop Organization
   1. Overview of CoGe's tools using example analyses to understand how they are linked together
   2. Open QnA

Always ask questions

1. First, anyone interested in comparing large genomes
   1. CoGe can do large analyses, but depending on the size and complexity of the genomes, some analyses may take a while to run. However, CoGE caches the results of large analyses.
2. Home Page
3. OrganismView: Find genomes and getting an overview of genomic data
   1. Start with bacteria genomes: small and fast to process, easier to visualize comparisons.
4. GenomeView: Visually inspecting genomes: MG1655 and horizontal genome transfer
5. SynMap: Pair-wise whole genome comparison; syntenic dotplots
   1. E. coli DH10B and W3110: http://genomevolution.org/r/2vde
      1. What is the dotplot?
      2. Inversion
      3. Segmental duplications
      4. Insertions/deletions
      5. Uncovering evolution: What happened at the central insertion?
         1. High resolution analysis with GEvo
         2. Extracting inserted region (SeqView)
         3. Extracting genomic features and annotations (FeatList)
         4. Adding another sequence to the region from NCBI: http://genomevolution.org/r/2ved
         5. Pick a sequence from around that region to explore a question that uses CoGeBlast:
            1. Number and location of transposons in the genome?
            2. Other genomes with insertion?
   2. Analyzing larger genomes with SynMap:
      1. Human Chimp
      2. Human Mouse
         1. Merging GEvo analyses; Human-Chimp-Mouse
      3. Arabidopsis thaliana v Arabidopsis lyrata
         1. Axis metrics: genes versus nucleotides
         2. Multiple coverage and Whole genome duplications events
         3. Quota-align and setting coverage limits
         4. Synonymous mutations
      4. Sorghum versus Maize
         1. Shared versus independent Whole genome duplications
      5. Rice versus Brachypodium
         1. Nested chromosome insertions