GMOD/GBrowse_syn Sheldon McKay Reactome Ontario Institute for Cancer Research.

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Presentation transcript:

GMOD/GBrowse_syn Sheldon McKay Reactome Ontario Institute for Cancer Research

A few words on whole genome alignment A brief survey of synteny browsers A few challenges of rendering comparative data Comparative genome browsing with GBrowse_syn Outline

Hierarchical Genome Alignment Strategy Mask repeats (RepeatMasker, Tandem Repeats Finder, nmerge, etc Identify orthologous regions (ENREDO, MERCATOR, orthocluster, etc) Nucleotide-level alignment (PECAN, MAVID, etc) Further processing GBrowse_syn GBrowse Raw genomic sequences

A Few Use Cases  Multiple sequence alignment data from whole genomes  Synteny or co-linearity data without alignments  Gene orthology assignments based on proteins  Self vs. Self comparison of duplications, homeologous regions, etc  Others

What is a Synteny Browser? - Has display elements in common with genome browsers - Uses sequence alignments, orthology or co-linearity data to highlight different genomes, strains, etc. - Usually displays co-linearity relative to a reference genome.

GBrowse_syn Does not rely on perfect co-linearity across the entire displayed region (no orphan alignments) Offers “on the fly” alignment chaining No upward limit on the number of species Used grid lines to trace fine-scale indels (sequence insertion/deletions) Integration with GBrowse data sources Ongoing support and development

GBrowse-like interface

GBrowse Databases* *.syn or *.conf *.synconf GBrowse_syn alignment database GBrowse_syn Species config. Master config.

GBrowse_syn Architecture [GBrowse]

Getting Data into GBrowse_syn CLUSTALW PECAN MSF ad hoc tab-delimited FASTA STOCKHOLM GFF3 etc… Loading scripts

Optional “All in one” view

Adding markup to the annotations

Problem : How to use Insertions/Deletion data

Tracking Indels with grid lines

Evolution of Gene Structure

Putative gene or loss

Comparing gene models

Comparing assemblies Not bad Needs work

Example Mercator Alignment

Getting the most out of small aligned regions or orthology-only data

Gene Orthology Chained Orthologs

2 panels merged Inversion + translocation?

Pecan alignments Protein orthology based Synteny blocks

Duplications