Computational Biology

We are using computational biology approaches to interrogate large datasets generated in our lab and by others (e.g. ChIP-seq, RNA-seq, methyl-seq), to understand the epigenome of senescent cells and its relationship to cancer and aging.

John Cole and Neil Robertson lead this important area of the lab. We have had excellent collaborations with Nathan VanderKraats and John Edwards in St. Louis (http://epigenomics.wustl.edu/edwardsLab/). See http://www.nature.com/ncb/journal/v15/n12/full/ncb2879.html and http://genomebiology.com/2014/15/7/406.

We are also collaborating with mathematician Dr. Mayetri Gupta (http://www.gla.ac.uk/schools/mathematicsstatistics/staff/mayetrigupta/) to develop novel integrated computational analysis methods for multiple epigenomics datasets.

hira hm

Histone chaperone HIRA localizes to strong enhancers (1), active promoters (2), weak enhancers (3) and unknown sites (4). See Pchelintsev et al., Cell Reports, April 18, 2013. http://dx.doi.org/10.1016/j.celrep.2013.03.026. Click image to link to publication.

 

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

Trackback this post  |  Subscribe to the comments via RSS Feed


%d bloggers like this: