SigNet: A deep neural network approach for mutational signature decomposition
(Serrano Colomé & Canal et al., 2023).
Transcription start sites are hypermutated in the human germline
(Cortes Guzman & Castellano & Serrano Colomé et al., 2025).
(Cortes Guzman & Castellano & Serrano Colomé et al., 2025).
Exons and introns do not mutate at different rates in the human germline
(Rodriguez Galindo et al., 2020).
(Rodriguez Galindo et al., 2020).
CBaSE: A probabilistic method to infer negative and positive selection on cancer genes
(Weghorn & Sunyaev, 2017).
(Weghorn & Sunyaev, 2017).
Mutational signatures are associated with tumor hypoxia
(Serrano Colomé & Canal et al., 2023).
(Serrano Colomé & Canal et al., 2023).
The Weghorn Lab is located at the Centre for Genomic Regulation (CRG) in Barcelona, Spain. Our research focuses on analyzing evolving systems, particularly cancer tumors and the human population. We analyze sequencing and other biological datasets and develop mathematical and computational approaches to estimate selection. An important aspect of this effort is to investigate mutational processes and the heterogeneity of the mutation rate.
We are part of the Joint Program on Evolutionary Medical Genomics.
Also check out our BlueSky account: WeghornLab
...or follow us on Twitter: @WeghornLab
