News

Florian will work on novel machine learning methods to predict the turnover and requisition of medium sized companies in horticulture

Nikita Genze joins our team as research assistant. He will work on novel machine learning methods for automatic and improved weed detection in Sorghum using drones.

We are pleased to announce our new review paper describing challenges in amplicon and metagenomics sequencing, which has just been published in Briefings in Bioinformatics (https://doi.org/10.1093/bib/bbz155).

We are pleased to announce the next generation of the online resources AraPheno (https://arapheno.1001genomes.org) and the AraGWAS Catalog (https://aragwas.1001genomes.org) which has just been published in the journal Nucleic Acids Research (https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkz925/5603218). AraPheno is a central and manually curated repository for high-quality phenotypes for the model organism Arabidopsis thaliana. As of September 2019 AraPheno contains more than 462 publicly available phenotypes, making it the largest data resource for population-scale phenotypes in A. thaliana, by far. With this release, AraPheno has been extended to support RNA-Seq expression profiles for thousands of samples and genes. 

Dominik Grimm contributed as a member of the international RELISH Consortium to create a large annotated dataset for benchmarking document similarity literature search. The manuscript with the title “Large expert-curated database for benchmarking document similarity detection in biomedical literature search” got published in the journal Database – The Journal of Biological Databases and Curation from Oxford Academic (link).

Dominik Grimm contributed to a new book chapter introducing state-of-the-art methods and tools in genome-wide association studies together with Anja Gumpinger, Damian Roqueiro and Karsten Borgwardt from the Machine Learning and Computational Biology Lab at ETH Zürich.