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Genome Centres (B)

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This is a list of BioInformatics centres working on the Human (or other species) Genome.
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[info] Baylor College of Medicine Genome Center
[info] BC Cancer Agency Genome Sequence Centre
[info] Belgian EMBNet Node
[info] BioMolecular Engineering Research Center (BMERC)
[info] The Brown Lab
[info] Brutlag Bioinformatics Group


Detailed information on the above options


Baylor College of Medicine Genome Center


BC Cancer Agency Genome Sequence Centre
The Genome Sequence Centre is a newly established facility. Its primary mandate is to deploy resources and technology of a high-throughput genome mapping and DNA sequencing lab to decrypt the genetic code, specifically to advance cancer research, diagnosis and treatment.

Combining the experience of world-renowned scientists, the GSC is poised to play a major role in the field of bioinformatics and various genome projects around the world. The priority of the centre is to find innovative means to automate the sequencing and fingerprinting process, develop cost-effective measures that will make such research financially viable and utilize state-of-the-art computing facilities to collect, mine, analyze and disperse data collected at this and other genome facilities.

The centre falls under the auspices of the BC Cancer Agency, one of a network of cancer research and clinical institutions throughout western British Columbia.


Belgian EMBNet Node


BioMolecular Engineering Research Center (BMERC)


The Brown Lab


Brutlag Bioinformatics Group
The Brutlag Bioinformatics Group is located in the Biochemistry Department at Stanford University and is also affiliated with the Stanford Medical Informatics program in the Stanford Medical School.

The primary goal of our research, like that of bioinformatics in general, is to understand the flow of information from the genome to the phenotype. This goal parallels the central paradigm of molecular biology, but bioinformatics primarily uses methods of computer science and information science. Currently, we are involved with prediction of structure and function from primary sequence. We have developed advanced profile and sequence motifs for representing structural and functional aspects of proteins. These methods can be used for assigning functions to unidentified genomic sequences (Scan, Identify and Genome). They can also be used to extract critical properties of conserved regions (EMOTIF, Profile).


Any Comments, Questions? Support@hgmp.mrc.ac.uk