A combination of whole-genome NanoSeq with deep whole-exome and targeted NanoSeq is used to accurately characterize mutation rates and genes under positive selection in sperm cells.

A new version of nanorate DNA sequencing, with an error rate lower than five errors per billion base pairs and compatible with whole-exome and targeted capture, enables epidemiological-scale studies of somatic mutation and selection and the generation of high-resolution selection maps across coding and non-coding sites for many genes.

Sex bias and association with smoking history identified in the landscape of driver mutations and clonal expansions in normal human bladder tissue may explain the higher bladder cancer risk in men and smokers.

Integrated multi-omic analyses using samples from the TRACERx study highlight cross-talk between DNA hypermethylation and genomic lesions in non-small cell lung cancer.

Mutations reflect the net effects of myriad types of damage, replication errors, and repair mechanisms, and thus are expected to differ across cell types with distinct exposures to mutagens, division ...

Evolution has shaped the genetic code, with subtle pressures leading to preferences for some synonymous codons over others. Codons are translated at different speeds by the ribosome, imposing constrai...

Mutations accumulate in the genome of every cell of the body throughout life, causing cancer and other genetic diseases[1][1]-[4][2]. Almost all of these mosaic mutations begin as nucleotide mismatche...

Abstract. Identifying the genes capable of driving tumorigenesis in different tissues is one of the central goals of cancer genomics. Computational methods

A study presents ALPACA, a computational method for inferring clone- and allele-specific copy numbers of individual clones from multi-sample bulk DNA-sequencing data, and demonstrates its use to study...

This Review discusses transcription-coupled DNA repair in response to the stalling of RNA polymerase II on different types of DNA lesions and highlights the molecular details for the different steps i...

We are looking for a motivated and talented postdoctoral-level researcher with experience in genomic analyses to join the newly established Coorens group at EMBL-EBI. We study how normal cells in diff...

An analysis of data from the Sherlock-Lung study provides insight into the mutational processes that contribute to lung cancer in never smokers, and looks at the possible role of factors such as ...

We are seeking a Postdoctoral Research Associate in Computational Cancer Genomics to join our team at the University of Edinburgh, funded by a Medical Research Council.