Welcome to the home page of the Computational Medicine Center at the Sidney Kimmel Medical College of Thomas Jefferson University. We focus on regulatory non-coding RNAs and “Big Data” mining. Our particular interests are in miRNAs, isomiRs, tRNAs, tRNA fragments, and piRNAs. Specifically, we aim at comprehensively elucidating the repertoire of these molecules in tissues and diseases, understanding the regulatory roles they play, unraveling their links to disease, and translating the generated knowledge into novel diagnostics and individualized therapies (“precision medicine”). Methodologically, we combine experimental and computational techniques to solve important problems from genomics, genetics, molecular biology, and medicine. A key concept to our work is “transcriptomic heterogeneity.” Transcriptomic heterogeneity manifests itself when a given segment of DNA produces different RNA molecules, either in different tissues of the same individual, or in the same tissue of individuals who differ in sex, population origin, race, age, disease subtype, etc. In transcriptomic heterogeneity, a disease state is associated with differences in the RNA molecules that are produced from a given segment of DNA. This is unlike genomic heterogeneity where disease is associated with differences in the DNA template itself.
– Isidore Rigoutsos