Genome Data Science https://gds.techfak.uni-bielefeld.de/ 2026-05-01T08:34:37+0200 Genome Data Science https://gds.techfak.uni-bielefeld.de/ https://gds.techfak.uni-bielefeld.de/ttps://gds.techfak.uni-bielefeld.de/lib/tpl/techfak/images/favicon.ico text/html 2021-05-11T11:56:29+0200 Anonymous (anonymous@undisclosed.example.com) contact https://gds.techfak.uni-bielefeld.de/contact?rev=1620726989&do=diff Contact Details Address Universität Bielefeld Hauptgebäude (main building) Universitätsstraße 25 33615 Bielefeld Germany Secretary's office Sabine Klusmann Office: UHG U10-126 (building part U, tenth floor, office no. 126) Phone: +49 521 106-3793 text/html 2024-05-01T14:55:03+0200 Anonymous (anonymous@undisclosed.example.com) home https://gds.techfak.uni-bielefeld.de/home?rev=1714568103&do=diff Genome Data Science Welcome to the web pages of the Genome Data Science group at the Faculty of Technology. The group is headed by Prof. Dr. Alexander Schönhuth and develops methods and tools to work with tens of thousands of genomes and analyze and integrate the corresponding data. text/html 2024-04-29T07:21:43+0200 Anonymous (anonymous@undisclosed.example.com) people https://gds.techfak.uni-bielefeld.de/people?rev=1714368103&do=diff Principal Investigator Prof. Dr. Alexander Schönhuth +49 521 106 3362 <aschoen@cebitec.uni-bielefeld.de> PEVZ ---------- Sabine Klusmann Secretary +49 521 106 6885 <aklusman@cebitec.uni-bielefeld.de> PEVZ ---------- Post-docs Dr. Marília Dias Vieira Braga +49 521 106 3839 <mbraga@cebitec.uni-bielefeld.de> PEVZ ---------- Ali Ghaffaari <ali.ghaffaari@uni-bielefeld.de> ---------- PhD Students text/html 2020-02-13T11:25:53+0200 Anonymous (anonymous@undisclosed.example.com) publications https://gds.techfak.uni-bielefeld.de/publications?rev=1581589553&do=diff Publications 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 text/html 2024-05-01T13:44:09+0200 Anonymous (anonymous@undisclosed.example.com) thesistopics https://gds.techfak.uni-bielefeld.de/thesistopics?rev=1714563849&do=diff Thesis Topics & Student Projects GENERATING GENOMES USING LANGUAGE MODELS * Genomes, the DNA of living organisms, follow a grammatical structure * The rules are implied by the laws of genetics * Idea: Structure DNA in terms of applicable words and sentences text/html 2020-08-06T08:18:01+0200 Anonymous (anonymous@undisclosed.example.com) vacancies https://gds.techfak.uni-bielefeld.de/vacancies?rev=1596694681&do=diff Open Positions No open positions currently available.