Genomatix Sequencing Analysis Solution GGA Installed at Barcelona Centre for Genomic Regulation
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The Centre for Genomic Regulation (CRG) in Barcelona, Spain purchased the Genomatix Genome Analyzer (GGA), as announced by Genomatix Software GmbH.
GGA comprises purpose built high performance hardware and terabytes of proprietary databases and software providing a complete solution for the analysis of Next Generation Sequencing (NGS) data after mapping to the genome.
“In regards to the machine, I love it! And I have advertised it to many colleagues,” says Dr. Ramin Shiekhattar, Group Leader within the Gene Regulation Programme.
“We are pursuing research in two major areas. The first is the molecular mechanism of cancer. We are working to address the mechanism by which tumor suppressors such as BRCA1 and BRCA2 exerted their biological effects. Our second avenue of research entails the delineation of the mechanisms by which the genome is silenced through chromatin modification and small regulatory RNA. The laboratory's goal is to understand the epigenetic regulation of gene expression in mammalian development and genetic disease.”
Klaus May, Chief Business Officer at Genomatix says:” I am extremely excited that one of our installations of the GGA went to the CRG in Barcelona. This is a very impressive institution with outstanding scientists and cutting edge equipment at a wonderful location. Our GGA definitely fits into that environment and will contribute substantially to the analysis of data produced by their sequencers.”
The Genomatix Genome Analyzer (GGA) delivers all downstream tools and databases for deep biological analysis of mapped data coming from next generation sequencers. It allows for integration and visualization within the terabytes of background annotation of the most complete mammalian genome annotation: ElDorado.
GGA delivers annotation of genomic coordinates from GMS or any other mapping procedure, clustering and peak finding, analysis for phylogenetic conservation, large scale correlation analysis with any annotated genomic elements, meta-analysis of data correlation between different experiments, pathway mining for groups of identified genes and transcription factor binding site (TFBS) analysis.
GGA comprises purpose built high performance hardware and terabytes of proprietary databases and software providing a complete solution for the analysis of Next Generation Sequencing (NGS) data after mapping to the genome.
“In regards to the machine, I love it! And I have advertised it to many colleagues,” says Dr. Ramin Shiekhattar, Group Leader within the Gene Regulation Programme.
“We are pursuing research in two major areas. The first is the molecular mechanism of cancer. We are working to address the mechanism by which tumor suppressors such as BRCA1 and BRCA2 exerted their biological effects. Our second avenue of research entails the delineation of the mechanisms by which the genome is silenced through chromatin modification and small regulatory RNA. The laboratory's goal is to understand the epigenetic regulation of gene expression in mammalian development and genetic disease.”
Klaus May, Chief Business Officer at Genomatix says:” I am extremely excited that one of our installations of the GGA went to the CRG in Barcelona. This is a very impressive institution with outstanding scientists and cutting edge equipment at a wonderful location. Our GGA definitely fits into that environment and will contribute substantially to the analysis of data produced by their sequencers.”
The Genomatix Genome Analyzer (GGA) delivers all downstream tools and databases for deep biological analysis of mapped data coming from next generation sequencers. It allows for integration and visualization within the terabytes of background annotation of the most complete mammalian genome annotation: ElDorado.
GGA delivers annotation of genomic coordinates from GMS or any other mapping procedure, clustering and peak finding, analysis for phylogenetic conservation, large scale correlation analysis with any annotated genomic elements, meta-analysis of data correlation between different experiments, pathway mining for groups of identified genes and transcription factor binding site (TFBS) analysis.
