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.6.8.91
URN: urn:nbn:de:0030-drops-68395
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2017/6839/
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Myers, Gene ; Pop, Mihai ; Reinert, Knut ; Warnow, Tandy
Weitere Beteiligte (Hrsg. etc.): Gene Myers and Mihai Pop and Knut Reinert and Tandy Warnow

Next Generation Sequencing (Dagstuhl Seminar 16351)

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dagrep_v006_i008_p091_s16351.pdf (0.9 MB)

Abstract

Next Generation Sequencing (NGS) data have begun to appear in many applications that are clinically relevant, such as resequencing of cancer patients, disease-gene discovery and diagnostics for rare diseases, microbiome analyses, and gene expression profiling. The analysis of sequencing data is demanding because of the enormous data volume and the need for fast turnaround time, accuracy, reproducibility, and data security. This Dagstuhl Seminar aimed at a free and deep exchange of ideas and needs between the communities of algorithmicists and theoreticians and practitioners from the biomedical field. It identified several relevant fields such as data structures and algorithms for large data sets, hardware acceleration, new problems in the upcoming age of genomes, etc. which were discussed in breakout groups.

BibTeX - Entry

@Article{myers_et_al:DR:2017:6839,
  author =	{Gene Myers and Mihai Pop and Knut Reinert and Tandy Warnow},
  title =	{{Next Generation Sequencing (Dagstuhl Seminar 16351)}},
  pages =	{91--130},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2017},
  volume =	{6},
  number =	{8},
  editor =	{Gene Myers and Mihai Pop and Knut Reinert and Tandy Warnow},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2017/6839},
  URN =		{urn:nbn:de:0030-drops-68395},
  doi =		{10.4230/DagRep.6.8.91},
  annote =	{Keywords: Cancer, DNA Sequence Assembly, Expression Profiles, Next Generation Sequencing, Sequence analysis, Software Engineering (Tools & Libraries)}
}

Keywords: Cancer, DNA Sequence Assembly, Expression Profiles, Next Generation Sequencing, Sequence analysis, Software Engineering (Tools & Libraries)
Collection: Dagstuhl Reports, Volume 6, Issue 8
Issue Date: 2017
Date of publication: 04.01.2017

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