The proposed research will investigate multi-species, comparative, functional genomic analysis of fungal genomes with an emphasis on high throughput, grid based bioinformatic technology. Specifically, we propose the following objectives: 1) Development of new analysis techniques for functional as well as sequence based comparative mapping mechanisms of genomes. 2) The development of high throughput data mining approaches and optimizing them for DNA and protein sequence data. 3) Development of a processing architecture for utilizing local and grid based resources. 4) The development of a transportable, open, standards based, genomic analysis system for the NC bioinformatics grid. 5) Cross discipline education of researchers and students from multiple fields, in the new genomic analyses and the varied technologies used to develop the support systems.

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Development of laboratory information management system for tracking and storing information resulting from the generation and evaluation of 50,000 knockout mutants of the Magnaporthe grisea fungal organism.

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  One of the bricks in hand, is my current efforts to reformulate the EnsEMBL system sequence analysis pipeline into a generalized genomic analysis subsystem. The objective is to use it for re-computing the results of in-silico mutation experiments and high throughput  syntenic  ortholog analysis for multiple organisms and paralog analysis for single species.

  I am moderately new to the world of applied Bioinformatics. Most of my experience comes from 25 years in the computer industry. I have, however, been tracking the computational biology world since 1990.  I am also the lead of the center's Bioinformatics support group.

Here you will find the current results of using the EnsEMBL analysis system to mine our lab's data from the sequencing of chromosome 7 from M. grisea.  As a consequence of my work with EnsEMBL, I have put together a how-to for the EnsEMBL v110 pipeline.