- About Us
- Area & CBI Resources
- World Tour of Genomics Tools and Resources
- RNA-Seq Course
- Videos Recording of Transcriptomics Symposium
- Genetic Association Studies
- Support Letter for Grant Proposals
- How-Tos & Courses
- Contact Us
The Tufts Computational Biology Initiative’s mission is to raise awareness, enhance infrastructure, and promote computational biology in a collaborative environment among a diverse group of biologists, clinicians, high throughput technologists, information technology professionals, statisticians, bioinformaticists, and computational biologists at Tufts Medical Center and all Tufts University campuses.
All of the CBI resources will be available to you whether you are an official CBI member or not. Becoming a member just means that you want to more actively participate, and help the CBI reduce the activation barriers that would prevent Tufts researchers from using the power of genomics and bioinformatics in their research. Minimally this means that you’re willing to spend a bit of time helping other local researchers learn about techniques you have expertise in, or that you’re willing to compare notes with others who are trying to learn the same new techniques you are. If you also want to help us choose speakers, design symposia, develop new classes, manage genomics resources or contribute to the web site, that’s great, but by no means required. See below to learn about current CBI members and their research, or click on the Contact Us link if you’d like to become a member.
Our strength and success is based on the partnerships that we continue to establish across Tufts and TMC. Some of our partners are:
- Center for Neuroscience Research, Tufts University
- Molecular Cardiology Research Institute, TMC
- Mother and Infant Research Institute, TMC
- Translational Immunology Science Center, TMC
- Research & Geospatial Technology Services (RGTS)
- Tufts Technology Services (TTS) at Tufts University
- Office of Information Technology, TUSM
- Tufts Libraries
- Tufts Clinical and Translational Sciences Institute (CTSI)
Along with our partners we are involved in a number of projects developing “genomic education” programs, computational infrastructure and protocols and procedures for high throughput genomics studies.
Profiles of CBI members and their research
Lakshmanan K. Iyer, PhD, Research Assistant Professor of Neuroscience, Neuroscience Department, Tufts University School of Medicine; Senior Manager, Genomics core, Center for Neuroscience Research; Assistant Professor, Molecular Cardiology Research Center, Molecular Cardiology Research Institute, Tufts Medical Center
Gavin R Schnitzler PhD, Investigator, Molecular Cardiology Research Institute, Tufts Medical Center; Assistant Professor of Medicine, Tufts University School of Medicine; Faculty Member in the Genetics and Biochemistry Programs, Sackler Graduate School of Biomedical Sciences, Tufts University
Gordon Huggins, MD, Associate Professor of Medicine, Tufts University School of Medicine; Physician Investigator, Cardiology Division, Tufts Medical Center; Faculty Member, Genetics Program, Cell, Molecular and Developmental Biology Program, Sackler Graduate School of Biomedical Sciences, Tufts University
Peter Castaldi, MD, MSc, Assistant Professor of Medicine, Tufts University School of Medicine
Larry Parnell, PhD, Computational Biologist, Nutritional Genomics Laboratory. JM-USDA Human Nutrition Research Center on Aging at Tufts University Boston, MA
Joshua Ainsley, PhD, Post-doctoral Fellow, Neuroscience Department, Tufts University School of Medicine
Kris Richardson, PhD, Post-doctoral Fellow, Nutritional Genomics Laboratory. JM-USDA Human Nutrition Research Center on Aging at Tufts University Boston, MA
Lionel Zupan PhD, Director, Research and Geospatial Technology Services, Tufts Technology Services, Tufts University.
Junior CBI members
Sean Harrington, Undergraduate in Tufts Computer Science Department and Biotechnology Program. Sean writes code and, working with Larry Parnell, has parsed metabolite, gene and disease relationships from the human metabolome database. Those data are available under the How-To and Courses section.