Computational Biology
A study published in Science describes how researchers created, from 86M genealogy profiles, population-scale family trees to reassess longevity and marriage and migration patterns. Yaniv Erlich is the study’s senior author.
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.
In Ubiquitous Genomics, students are among the first students to have access to a mobile genetic sequencer.
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.
Computational Biology Bi-Group 
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