The BIDMC Genomics Center provides all of the tools of modern functional genomics and proteomics, for academic and corporate clients alike. Equipped with State-of-the-Art technologies for transcriptional profiling, genotyping, proteomics, real-time PCR and robotics. Located on the Harvard Medical School Longwood Campus. The BIDMC Genomics center is a core proteomics facility for the Dana-Farber/Harvard Cancer Center.

We Have Moved to CLS

The BIDMC Genomics Core and DFHCC Proteomics Core have moved across the street to the new Center for LIfe Sciences building. Instruments are in place and ready to process your samples.
You can find us at:
    5th Floor, Room 543
    Center for Life Science building
    3 Blackfan Circle
    Boston, MA 02115
    (617) 735-2501

The 4800 MALDI TOF/TOF Analyzer Offers New Level of Sensitivity and Efficiency for Proteomics.

New ABI 4800 Mass Spectrometer on-line.



4800 ABI MALDI TOF/TOF Mass Spec
The new instrument achieves a ten-fold increase in sensitivity over existing commercially available systems and offers unparalleled experimental efficiency using powerful, automated workflows, making it an ideal solution for protein biomarker discovery.

ITRAQ - 8 plex isobaric peptide tagging system
SILAC - stable isotope labeling of amino acids in cell culture
GIST - global internal standard technology, a post digestion peptide level labeling technique
ICAT - isotope coded affinity tag-based protein profiling

New High Throughput Affymetrix GeneChips

Available Now

As low as $325/sample for 96 samples. Discount on your first order.

More Cost effective, efficient, reproducible, precise and more sensitive. Up to 96 samples on one run.

We are proud to announce a new Affymetrix GeneChip service that will significantly reduce costs as well as time. We offer the new Affymetrix service on the 24 and 96 well platform. These microtiter-based GeneChips as well as the probe labeling are processed on a robot. Up to 96 samples can be processed within 3 days. The price for these high throughput whole genome arrays is significantly lower than the current arrays.

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