Reading genomes, bit by bit

Because of rapid advances in genome sequencing technology, we can finally see the source code for life: the complete genomic DNA sequences that specify development, regulation, and function of organisms. Our laboratory develops computational methods for genome sequence analysis. We are particularly interested in methods for identifying remote evolutionary relationships between distantly related protein and RNA sequences.

We're a Howard Hughes Medical Institute laboratory at Harvard University, in Molecular & Cellular Biology and in Applied Mathematics in Biolabs on the Cambridge campus. We're affiliated with the Harvard Data Science Initiative, the Quantative Biology Initative, and the Center for Brain Science.

Recent publications

How to join us

If you're interested in doing a postdoc with us, contact me and propose a project idea. We usually have space and initial funding available.

Graduate students in the group come from many different Harvard programs, including MCO (Molecules, Cells, and Organisms), Systems Biology, Biophysics, Applied Math, and Physics.

How to find us

Department of Molecular & Cellular Biology
Biological Laboratories 1008A
16 Divinity Avenue
Harvard University
Cambridge MA 02138, USA

HMMER

Hidden Markov models for sequence profile analysis.

Infernal

RNA structure analysis using covariance models.

Pfam

Database of protein family alignments and hidden Markov models.

Rfam

The Rfam database of RNA alignments, consensus secondary structures, and profile SCFGs.

Dfam

The Dfam database of repetitive DNA sequence elements.