High parallelism, portability, and broad accessibility: Technologies for genomics
ACM Journal on Emerging Technologies in Computing Systems (JETC)
| Hi-index | 3.84 |
Summary: The study of complex hereditary diseases is a very challenging area of research. The expanding set of in silico approaches offers a flourishing ground for the acceleration of meaningful findings in this area by exploitation of rich and diverse sources of omic data. These approaches are cheap, flexible, extensible, often complementary and can continuously integrate new information and tests to improve the selection of genes responsible for hereditary diseases. Following this principle, we improved and extended our web-service TOM for the identification of candidate genes in the study of complex hereditary diseases. Availability: Our tool is freely available online at http://www.micrel.deis.unibo.it/~tom/. Contact: daniele.masotti@unibo.it Supplementary information: Manuals and sample data are available in the Help section of the tool's web page.