Toby Baker

Bioinformatics Consultant & Researcher

About

Computational biologist with a background in cancer genomics and machine learning. Previously a postdoctoral scientist at UCLA.

Work

ROCIT

A deep learning tool that classifies individual reads from long-read sequencing as tumour- or normal-derived using CpG methylation patterns.

Preprint · GitHub

GRITIC

A computational method to estimate the timing of copy number gains in human cancers on a mutation time scale. Particularly useful for timing complex gains in whole genome doubled tumours.

Paper · GitHub

Contact

toby@tobybaker.co.uk

GitHub · LinkedIn