Christian Brueffer

This paper uses mouse mammary tumor data to train machine learning models predicting human breast cancer survival and treatment response.

This paper presents near-complete, haplotype-resolved assemblies of a pancreatic cancer genome and normal tissue, identifying extensive somatic variants and epigenetic changes in previously excluded regions.

The paper evaluates variant calling in difficult genomic regions using short- and long-read sequencing, showing improved performance with new methods and multi-technology approaches.

The paper introduces SVCurator, a crowdsourcing app for evaluating structural variants in the human genome, finding high concordance among curators and with existing benchmarks.

Bioconda provides a sustainable, comprehensive distribution of bioinformatics software using Conda for reproducible analysis across platforms.