Since its beginning, the Tenenbaum lab has embraced the use of computational analysis as an essential tool in modern biology. Starting with RIP-chip (the use of cDNA microarrays for profiling RNA binding protein interactions) the need for informatic support was quickly realized. As any single experiment yielded many thousands of individual measurements, manual examination of the results became untenable. As can often be the case in science, analysis of these early data sets led to more questions and the development of many software tools for mining them in new ways.

Bioinformatics is a relatively new field and the term bioinformaticist (or bioinformatician) is still somewhat loosely defined. Some consider a biostatistician to be a bioinformaticist. Others use the term to define a biologist with training in certain software based analysis programs. Still others use it to describe a biologist with some degree of programming skills. Our group had its history in computer science and commercial software development. The group's size has changed over the years, but we've mostly approached our work from a system's analyst perspective. We try to keep assumptions to a minimum, and to use the right tool for the job. Whether that means running GeneSpring, writing a PERL script, or developing a custom J2EE system with a web interface and a SQL backend, we apply the approach that makes most sense.

This page presents a representative group of our current high-priority projects.