W.M. Keck Biotechnology Resource Laboratory
***Effective June 28, 2013, the Keck Biotechnology Resource Laboratory will discontinue the following services: Amino Acid Analysis, Protein Sequencing (Edman Degradation), Large- and Small-Scale Peptide Synthesis. We are no longer accepting orders or sample submissions.
The Keck Biotechnology Resource Laboratory provides >150 genomic, proteomic, biostatistical, bioinformatics, and high performance computing technologies to hundreds of Yale and non-Yale investigators whose research otherwise might not benefit from the highly sophisticated and expensive instrumentation upon which biological and biomedical research is increasingly dependent. In 2011 the Keck Lab carried out 409,087 analyses and syntheses and >10 million CPU-hrs of high performance computing for 523 Yale and 592 non-Yale investigators at 303 institutions in 28 countries. With 51 staff, including 20 with Ph.D. and 9 with M.S. level degrees, >21,000 ft2 of custom-designed space, and >110 major instrument systems purchased at a cost of >$22 million dollars; we believe the Keck Lab is among the largest academic biotechnology resource laboratories of its kind. The Keck Biotechnology Resource Laboratory operates on a fee-for service basis and also houses cores for several NIH Centers.
The Keck Biotechnology Resource Laboratory is organized into three genomic (DNA Sequencing, Microarray, and Oligo Synthesis), three proteomic (Biophysics, MS/Proteomics, Protein Chemistry), and three multi-disciplinary Resources (Bioinformatics, Biostatistics, and High Performance Computing). The Protein Chemistry Resource is composed of four sections that offer Amino Acid Analysis, Protein/Peptide (Edman) Sequencing, Small Scale (Fmoc) and Large Scale (tBoc) Peptide Synthesis. The nine Keck Resources provide a wide range of syntheses and analyses that include gene expression and SNP genotyping using microarray and bead technologies, oligo and peptide synthesis, DNA and protein sequencing, biophysical analysis of proteins and other biopolymers, biostatistical and bioinformatics analyses, mass spectrometry (MS), protein profiling, and high performance computing.