Computational Biology
Columbia researchers de-bias the effects of the Winner’s Curse across a broad set of traits, finding that reporting deficiencies, not the paradigm of GWAS, are to blame for the failure to replicate.
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.
About
The Computational Biology Group brings together interdisciplinary and cross-disciplinary individuals and skillsets to tackle problems in high throughput genomics, systems biology, and genetics.
The group develops computational methods to analyze high throughput data on genetic variants within species, primarily human SNP, and sequencing data.
The student and postdoc body in the group is very diverse in terms of undergraduate background as well as current PhD program or postdoctoral affiliation. The group meets weekly giving an opportunity for students to present their research internally and feedback on one another’s work. Weekly meetings occasionally give host to guest speakers, include a journal club, or extracurricular activities.
Computational Biology Bi-Group 
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