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Cancer Research UK Cambridge Institute

 

Caption: High-throughput sequencing has greater sensitivity than microarrays to detect changes in gene expression levels.

We provide a data analysis and statistics consulting service to CI scientists and develop software and analysis pipelines to support high-throughput technologies.

High-throughput sequencing applications have continued to be a major theme for the group over the past year, with ongoing development of our analysis pipelines for ChIP-seq experiments to explore DNAprotein binding and for re-sequencing of cancer genomes to identify mutations implicated in the disease. In addition, we carried out a detailed comparison of RNAseq and oligonucleotide arrays, in which the same biological samples were analysed on both platforms for two separate studies, to support the transition from arrays to sequencing for gene expression profiling; this has influenced the design of experiments based on the newer technology as well as the bioinformatics analysis approach.

An important aspect of the Bioinformatics Core’s work is the development of bioinformatics infrastructure for processing sequencing data and managing the end-to-end process from sample submission to data delivery. Working with the Genomics Core, we have deployed a new commercial laboratory information management system (LIMS) to track and help manage the laboratory and bioinformatics workflows for the sequencing instruments. We continue to work closely with our colleagues in Genomics and have jointly been running weekly project review/experimental design meetings.