License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.7.6.86
URN: urn:nbn:de:0030-drops-82937
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2017/8293/
Go back to Dagstuhl Reports

Backofen, Rolf ; Mandel-Gutfreund, Yael ; Ohler, Uwe ; Varani, Gabriele
Weitere Beteiligte (Hrsg. etc.): Rolf Backofen and Yael Mandel-Gutfreund and Uwe Ohler and Gabriele Varani

Computational Challenges in RNA-Based Gene Regulation: Protein-RNA Recognition, Regulation and Prediction (Dagstuhl Seminar 17252)

pdf-format:
dagrep_v007_i006_p086_17252.pdf (2 MB)

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 17252 "Computational Challenges in RNA-Based Gene Regulation: Protein-RNA Recognition, Regulation and Prediction".

BibTeX - Entry

@Article{backofen_et_al:DR:2017:8293,
  author =	{Rolf Backofen and Yael Mandel-Gutfreund and Uwe Ohler and Gabriele Varani},
  title =	{{Computational Challenges in RNA-Based Gene Regulation: Protein-RNA Recognition, Regulation and Prediction (Dagstuhl Seminar 17252)}},
  pages =	{86--108},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2017},
  volume =	{7},
  number =	{6},
  editor =	{Rolf Backofen and Yael Mandel-Gutfreund and Uwe Ohler and Gabriele Varani},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/8293},
  URN =		{urn:nbn:de:0030-drops-82937},
  doi =		{10.4230/DagRep.7.6.86},
  annote =	{Keywords: Machine learning, algorithms, genomics analysis, gene expression networks, big data analysis, quantitative prediction, proteins, RNA}
}

Keywords: Machine learning, algorithms, genomics analysis, gene expression networks, big data analysis, quantitative prediction, proteins, RNA
Collection: Dagstuhl Reports, Volume 7, Issue 6
Issue Date: 2017
Date of publication: 21.12.2017

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI