MRC WIMM Centre for Computational Biology

Using computational biology to help understand complex biological systems and combat diseases, from blood disorders to cancer and diabetes.

For information about the CCB High Performance Computing Facility see here:

New machine learning model developed for improved detection of immune targets

A study led by Koohy Group has developed a novel deep learning-based workflow to predict the immune targets of CD8+ T-cells.

We aim to share our outputs with the scientific community and have developed a range of open source tools.

The MRC WIMM Centre for Computational Biology offers training courses in basic data science skills and computational biology methods.

Quantum mechanical electronic and geometric parameters for DNA k-mers as features for machine learning.
Journal article

Masuda K. et al, (2024), Sci Data, 11
Single-cell technologies meet Hi-C.
Journal article

Hughes JR. and Davies JOJ., (2024), Nat Genet
Panpipes: a pipeline for multiomic single-cell and spatial transcriptomic data analysis.
Journal article

Curion F. et al, (2024), Genome Biol, 25
Deciphering cis-regulatory elements using REgulamentary
Preprint

Riva SG. et al, (2024)
Interspecies regulatory landscapes and elements revealed by novel joint systematic integration of human and mouse blood cell epigenomes.
Journal article

Xiang G. et al, (2024), bioRxiv