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Integrated Genomics  to Develop High-Performance Linux Clusters with Tsunamic Technologies
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Integrated Genomics to Develop High-Performance Linux Clusters with Tsunamic Technologies

Integrated Genomics  to Develop High-Performance Linux Clusters with Tsunamic Technologies
News

Integrated Genomics to Develop High-Performance Linux Clusters with Tsunamic Technologies

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Integrated Genomics and Tsunamic Technologies have entered into a contract to develop high-performance Linux clusters for large-scale, high throughput genome annotation and comparative genomics.

Integrated Genomics’ proprietary ERGO™ bioinformatics software, with the largest database of annotated microbial genomes in existence, is a tool for functional genomics.

The rapidly growing number of sequenced genomes results in an exponential increase in the computing power needed to identify the genes and determine their functions and relationships.

Scientists at Integrated Genomics have increased the efficiency of IG’s public and proprietary comparative genomics tools by an order of magnitude and will implement them on Tsunamic Technologies high-performance secure Linux clusters.

“This is a very cost-effective way to increase our high-performance computing capability. It allows our scientists to focus on refining and using our tools for genomic analysis rather than maintaining a computer cluster” said Dr. John W. Elling, President of Integrated Genomics.

Optimized for analysis of microorganisms, ERGO™ integrates biological data from genomics, biochemistry, gene expression studies, genetics and literature.

Reaching beyond conventional systems for functional analysis of DNA sequences, Integrated Genomics' platform combines pattern-based analysis with comparative genomics and enables visualization of genes in the contexts of subsystems, regulation, gene expression data, phylogeny, chromosomal neighborhoods and identification of natural gene fusions.

ERGO™ contains more than 1101 genomes, as well as the largest available collection of networked cellular pathways.

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