Computational Biology

In a paper that appeared in Nature Genetics, researchers find that STRs, far from being neutral
(or junk) provides a hidden layer of functional information.

The future of DNA sequencing is already in the classroom

In Ubiquitous Genomics, students are among the first students to have access to a mobile genetic sequencer.

Machine learning applied to cancer: A PhD student doubles the number of breast cancer drivers

Felix Sanchez-Garcia, a computer science PhD student, describes a new algorithm that integrates data from multiple diverse sources to discover new breast cancer drivers.

About

Computational biology and bioinformatics involve development and application of analysis methods for high throughput experimental data in molecular biology to facilitate biomedical research. Active topics of investigation in Columbia involve systems biology, biological networks, massively parallel (“next generation”) DNA sequencing, RNA sequencing, ChIP sequencing, analysis of transcription factor binding sites, single nucleotide polymorphisms, population genetics, molecular evolution, personalized medicine, tumor genomics.