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Burkhard Rost

Affiliations: 
Technische Universität München (TUM), München, Bayern, Germany 
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"Burkhard Rost"

Parents

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Heinz Horner research assistant 1986-1988 University of Heidelberg
 (Topic for Master Thesis: Learning algorithms for spin-glass-like neural networks')
Chris Sander grad student 1987-1992 EMBL Heidelberg

Children

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Yanay Ofran grad student 2004 Columbia
Dariusz S. Przybylski grad student 2005 Columbia
Avner Schlessinger grad student 2007 Columbia
Yana Bromberg grad student 2002-2007 Columbia
Ta-Tsen Soong grad student 2009 Columbia
Kazimierz O. Wrzeszczynski grad student 2009 Columbia
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Publications

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Elnaggar A, Heinzinger M, Dallago C, et al. (2021) ProtTrans: Towards Cracking the Language of Lifes Code Through Self-Supervised Deep Learning and High Performance Computing. Ieee Transactions On Pattern Analysis and Machine Intelligence
Elnaggar A, Heinzinger M, Dallago C, et al. (2021) ProtTrans: Towards Cracking the Language of Lifes Code Through Self-Supervised Deep Learning and High Performance Computing. Ieee Transactions On Pattern Analysis and Machine Intelligence
Bernhofer M, Dallago C, Karl T, et al. (2021) PredictProtein - Predicting Protein Structure and Function for 29 Years. Nucleic Acids Research
Reeb J, Wirth T, Rost B. (2020) Variant effect predictions capture some aspects of deep mutational scanning experiments. Bmc Bioinformatics. 21: 107
Dallago C, Goldberg T, Andrade-Navarro MA, et al. (2020) Visualizing Human Protein-Protein Interactions and Subcellular Localizations on Cell Images Through CellMap. Current Protocols in Bioinformatics. 69: e97
Littmann M, Goldberg T, Seitz S, et al. (2019) Correction to: Detailed prediction of protein sub-nuclear localization. Bmc Bioinformatics. 20: 727
Zhou N, Jiang Y, Bergquist TR, et al. (2019) The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens. Genome Biology. 20: 244
Miller M, Vitale D, Kahn PC, et al. (2019) funtrp: identifying protein positions for variation driven functional tuning. Nucleic Acids Research
Littmann M, Goldberg T, Seitz S, et al. (2019) Detailed prediction of protein sub-nuclear localization. Bmc Bioinformatics. 20: 205
Peeken JC, Goldberg T, Pyka T, et al. (2018) Combining multimodal imaging and treatment features improves machine learning-based prognostic assessment in patients with glioblastoma multiforme. Cancer Medicine
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