Alex Fish wins Best Presentation Award!

Congratulations to Alex for winning the Best Research Presentation Award at the recent Gordon Human Genetics and Genomics Conference! Her presentation, “Are Genetic Interactions Influencing Gene Expression Evidence for Biological Epistasis or Statistical Artifacts?”, is the culmination of her hard work to evaluate the conflicting evidence for and against epistatic gene regulatory interactions in humans.

If you are interested, check out the bioRxiv preprint:
Are Genetic Interactions Influencing Gene Expression Evidence for Biological Epistasis or Statistical Artifacts?
http://biorxiv.org/content/early/2015/06/05/020479

Ling Chen joins the lab!

We are very happy to welcome BSCI graduate student Ling Chen to the group. Ling has a B.S. in Biology from Nankai University. She is interested in studying gene regulation and epigenetic dynamics.

Our study of the evolution of acetylation of RNA pol II is published!

RNA pol II is highly post-translationally modified, and we recently helped to show that a newly discovered acetylation modification of the C-terminal domain (CTD) of its RPB1 subunit regulates transcription in mammals. In this study we trace the evolution of the RPBI CTD and show that the potential for acetylation arose in the early history of animals, and that potential for CTD acetylation expanded in specific developmentally complex metazoan lineages. Functional analysis of genes regulated by acetylation of RPB1 highlight functions involved in the origin of and diversification of complex Metazoa. This suggests that acetylation of RPB1 may have played a role in the success of animals.

Evolution of lysine acetylation in the RNA polymerase II C-terminal domain
http://www.biomedcentral.com/1471-2148/15/35

New preprint on extrapolating histone marks across contexts is available.

I’ve been thinking about how and when it is justified to use functional genomics data (e.g., histone modifications, DNA methylation, DNaseI hypersensitivity, etc.) collected in one cellular context for an analysis in a different context.  I performed a case study of this question for H3K27ac and H3K4me1 marks across developmental stages, tissues, and species. Check out the manuscript for the results:

Extrapolating histone marks across developmental stages, tissues, and species: an enhancer prediction case study [bioRxiv]

Check out our new paper on Log-Odds Sequence Logos in Bioinformatics!

Screen shot 2014-10-14 at 11.05.19 AMWe have been collaborating with Stephen Altschul’s group at the NIH to develop a more statistically sound way to represent DNA and protein sequence patterns using sequence logos. The paper describing our results just appeared in Bioinformatics:
Log-Odds Sequence Logos

If you’ve got some sequences you want to summarize, we highly recommend that you use the new tool (both web and command line versions are available):
LogOddsLogo