Difference between revisions of "Bioinformatics and Research Computing (BaRC), Whitehead Institute"
(New page: Whitehead Institute for Biomedical Research Bioinformatics & Research Computing (BaRC) Department Location: Cambridge, MA Name/Title: Fran Lewitter, Ph.D., Director of BaRC, (lastname ...) |
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Bioinformatics & Research Computing (BaRC) Department | Bioinformatics & Research Computing (BaRC) Department | ||
− | Location: | + | Location: |
− | + | Cambridge, MA | |
− | + | Name/Title: | |
+ | Fran Lewitter, Ph.D., Director of BaRC, (lastname AT wi.mit.edu) | ||
− | + | Links: | |
+ | BaRC Whitehead Institute | ||
− | + | Group size: | |
+ | 6, 1 Ph.D. director, 1 Ph.D. Senior Bioinformatics Scientist, 2 Bioinformatics Scientists, 1 M.S. Bioinformatics Analysts, and 1 Senior Graphics specialist. We have a full IT department that manages our systems and network. | ||
− | + | Environment: | |
+ | The Whitehead Institute is a private research institute affiliated with MIT. All PIs at Whitehead hold faculty appointments at MIT. There are 19 labs - 14 Faculty and 5 Whitehead Fellows - with undergrads, graduate students, postdocs and technicians. Labs range in size from 6 to low 40s. | ||
− | + | Tools: | |
+ | We support software on Macs, PCs and Unix. For desktop software we currently support LaserGene, MacVector, Sequencher, Gene Construction Kit. Vector NTI, DNAStrider, lots of graphics software. On the Unix side we have EMBOSS, GCG, University of Washington Genome Center Software, WU-Blast, NCBI-Blast, Matlab, R, BioConductor, Patscan, Primer3, HMMER, clustalX, etc. | ||
− | + | Pertinent hardware info: | |
+ | A 4-processor Intel computer, a Linux cluster of 38 Intel dual-processor nodes and an EMC Clarion storage device. Desktops are Macs and PCs. | ||
− | + | Training: | |
+ | Hands on mini-courses. See BaRC Education Pages. "Hot Topics" series include less than an hour talk about some specific tool or topic. Quarterly "Work in Progress" series for in-depth presentation of computational biology applications. Lots of one-on-one training. | ||
− | Funding model: Institutional funds and grants. | + | Bioinformatics support model: |
+ | basic model is training, education, consultation and collaboration in the areas of bioinformatics and graphics. | ||
+ | |||
+ | Funding model: | ||
+ | Institutional funds and grants. |
Revision as of 08:24, 6 January 2011
Whitehead Institute for Biomedical Research Bioinformatics & Research Computing (BaRC) Department
Location:
Cambridge, MA
Name/Title: Fran Lewitter, Ph.D., Director of BaRC, (lastname AT wi.mit.edu)
Links: BaRC Whitehead Institute
Group size: 6, 1 Ph.D. director, 1 Ph.D. Senior Bioinformatics Scientist, 2 Bioinformatics Scientists, 1 M.S. Bioinformatics Analysts, and 1 Senior Graphics specialist. We have a full IT department that manages our systems and network.
Environment: The Whitehead Institute is a private research institute affiliated with MIT. All PIs at Whitehead hold faculty appointments at MIT. There are 19 labs - 14 Faculty and 5 Whitehead Fellows - with undergrads, graduate students, postdocs and technicians. Labs range in size from 6 to low 40s.
Tools: We support software on Macs, PCs and Unix. For desktop software we currently support LaserGene, MacVector, Sequencher, Gene Construction Kit. Vector NTI, DNAStrider, lots of graphics software. On the Unix side we have EMBOSS, GCG, University of Washington Genome Center Software, WU-Blast, NCBI-Blast, Matlab, R, BioConductor, Patscan, Primer3, HMMER, clustalX, etc.
Pertinent hardware info: A 4-processor Intel computer, a Linux cluster of 38 Intel dual-processor nodes and an EMC Clarion storage device. Desktops are Macs and PCs.
Training: Hands on mini-courses. See BaRC Education Pages. "Hot Topics" series include less than an hour talk about some specific tool or topic. Quarterly "Work in Progress" series for in-depth presentation of computational biology applications. Lots of one-on-one training.
Bioinformatics support model: basic model is training, education, consultation and collaboration in the areas of bioinformatics and graphics.
Funding model: Institutional funds and grants.