Gramene Technical Improvements

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Presentation transcript:

Gramene Technical Improvements http://www.gramene.org Gramene Technical Improvements Chengzhi Liang

Goals Support Complex Queries Better Genome Annotation Diversity Visualization Biochemical Pathways Better Comparative Views

Complex Query Examples Find all rice genes/QTL that control a trait, eg, height Find all rice genes in the syntenic region of a Maize QTL

Complex Data View Primary Evolution Protein Family Gene Ontology Reference Tool Chromosome Clone (BAC) Synteny Marker Chromosome Marker Locus Allele Gene/QTL Diversity Trait Trait Option

Current Gramene Schema Portable, modular, etc, many advantages, but not well-suitable for complex queries The previous query examples need to access to multiple modules, including QTL, Genome Browser, CMap, Ontology Several ways, but usually 10-15 steps To do it better, we will use…

BioMart Data warehousing technology for complex queries Well developed, part of GMOD Simple, query optimized, generic schema Portable, easily integrated with Gramene

New Personnel Will Spooner Former Ensembl employee BioMart Developer Many years of experience in developing/deploying/using those programs

Better Genome Annotation Need consistent, reproducible gene predictions across the cereal genomes Software that is being used…

BioPipe Portable Easy to grasp -- close cousin to Ensembl technolgy Simple to use – works with Ensembl schema Data consistency -- using for Gramene alignment annotation

Portable, Standalone tools To search Interpro Go annotation Trans-membrane Prediction Sequence mapping

New Personnel Kiran Kumar Payan Canaran From Biopipe project From Merck’s pipeline project

Diversity Visualization For fast-accumulating diversity data Dr. Ed Buckler will discuss this in details

Biochemical Pathways To fully utilizing data of Trait Diversity Expression Make static data dynamic (both spatial and temporal)

Pathway Tools From Peter Karp, eg, EcoCyc Well developed/supported

To Be Released Liya Ren attended the Cyc short course, and is setting it up for rice and other cereals. Expected date: Fall 2005

Better Comparative Viewer Many web UI improvements to CMap (Ken Clark & Ben Faga) Multiple Genomes in Ensembl via Compara (Will Spooner)

Graphical Summary Web Web Web Web Raw Ensembl CMap BioMart DAS Data Objects API Objects API Objects API Objects API Raw Ensembl CMap BioMart DAS Diversity Data Gramene Dump