As part of our mission statement, the BioMicro Center is designed to assist users in computational challenges. One key aspect of this is providing our users with the bioinformatics support to interpret their data readily and to assist them in analyzing data for publications and grants. To accomplish this, the BioMicro Center has a team of informatics scientists on staff able to assist labs with experience in a broad number of methodologies. Bioinformatics consultations are available by appointment for CORE lab members. Bioinformatic projects are undertaken by the BioMicro Center on a collaborative basis. Prices for Bioinformatics support are BioMicroCenter:Prices available.
Ryan Abo, PhD
Ryan has recently joined the Biomicro center as a bioinformatics scientist. He received his undergraduate education in computer science from the College of Idaho. He then pursued a Ph.D. in Biomedical Informatics, where his computational background and interests influenced his Ph.D. thesis work in developing, implementing, and applying statistical methods and computation tools for genetic data analysis. A postdoctoral opportunity at the Mayo Clinic led him to performing bioinformatics and statistical genetics research and analysis for pharmacogenomic-related projects.
Stuart Levine's primary responsibility is to direct the BioMicro Center but in a previous life Stuart was a bioinformaticist and is still available to assist on data analysis as time is available. Stuart received his BS in Biology from MIT (where he UROPed with Dr. Peter Sorger) then did his graduate work with Dr. Bob Kingston and Dr. William Forrester at Harvard Medical School where he studied the biochemical activities of the polycomb group of gene regulators. Stuart then did his post-doctoral work with Dr. Richard Young where he switched from biochemistry to bioinformatics, studying gene regulation on a genome wide scale using expression and chromatin immunoprecipitation data. Stuart has numerous publications in the areas of regulation of transcription, genomic architecture and cell fate determination.
- Chromatin IP
- expression analysis
Additional bioinformatics support is available through