DagRep.9.8.49.pdf
- Filesize: 3.7 MB
- 21 pages
Document
Advances and Challenges in Protein-RNA Recognition, Regulation and Prediction (Dagstuhl Seminar 19342)
Authors and all authors of the abstracts in this report
-
Part of:
Issue:
Dagstuhl Reports, Volume 9, Issue 8
Volume: Dagstuhl Reports, Volume 9
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2019-12-20
Cite As Get BibTex
Rolf Backofen, Yael Mandel-Gutfreund, Uwe Ohler, and Gabriele Varani. Advances and Challenges in Protein-RNA Recognition, Regulation and Prediction (Dagstuhl Seminar 19342). In Dagstuhl Reports, Volume 9, Issue 8, pp. 49-69, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)
https://doi.org/10.4230/DagRep.9.8.49
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 19342 ``Advances and Challenges in Protein-RNA Recognition, Regulation and Prediction''.
Subject Classification
Keywords
- Machine learning
- algorithms
- genomics analysis
- gene expression net- works
- big data analysis
- quantitative prediction
- proteins
- RNA
- CLIP-Seq
Metrics
- Access Statistics
-
Total Accesses (updated on a weekly basis)
0PDF Downloads