Publications | Deep Genomics

Publications

Our scientists regularly publish in their fields' most influential peer-reviewed journals. Here is a selection of our contributions.

Transcriptome-Wide Off-Target Effects of Steric-Blocking Oligonucleotides

Holgerson et al., bioRxiv, September 2020.

ATP7B Met645Arg causes Wilson disease by promoting exon 6 skipping.

Merico et al., npj Genomic Medicine, April 2020.

Deep learning in biomedicine.

Wainberg et al. Nature Biotechnology, September 2018.

COSSMO: Predicting competitive alternative splice site selection using deep learning.

Hannes Bretschneider et al. ISMB, July 2018.

Inference of the human polyadenylation code.

Leung et al. RECOMB, April 2017.

Efficient in vivo correction of a splicing defect using an HDR-independent mechanism.

Kemaladewi et al. Nature Medicine, July 2017.

Genome-wide characteristics of de novo mutations in autism.

Yuen et al. NPJ Genome Medicine, August 2016.

Automated analysis of high‐content microscopy data with deep learning

Kraus et al. Molecular Systems Biology, April 2017.

Machine learning in genomic medicine: A review of computational problems and data sets.

Leung et al. Proceedings of the IEEE, January 2016.

Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning.

Alipanahi et al. Nature Biotechnology, August 2015.

The human splicing code reveals new insights into the genetic determinants of disease.

Xiong et al. Science, January 2015.

Deep learning of the tissue-regulated splicing code.

Leung et al. Bioinformatics, June 2014.

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