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Customized workflow development and data modularization concepts for RNA-Sequencing and metatranscriptome experiments

delete2017-11-01
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OA
AI
S
Steffen C. Lott
M
Markus Wolfien
K
Konstantin Riege
A
Andrea Bagnacani
O
Olaf Wolkenhauer
S
Steve Hoffmann
W
Wolfgang R. Hess *
DOI:10.1016/j.jbiotec.2017.06.1203delete
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摘要

摘要

En 中文
RNA-Sequencing (RNA-Seq) has become a widely used approach to study quantitative and qualitative aspects of transcriptome data. The variety of RNA-Seq protocols, experimental study designs and the characteristic properties of the organisms under investigation greatly affect downstream and comparative analyses. In this review, we aim to explain the impact of structured pre-selection, classification and integration of best-performing tools within modularized data analysis workflows and ready-to-use computing infrastructures towards experimental data analyses. We highlight examples for workflows and use cases that are presented for pro-, eukaryotic and mixed dual RNA-Seq (meta-transcriptomics) experiments. In addition, we are summarizing the expertise of the laboratories participating in the project consortium Structured Analysis and Integration of RNA-Seq experiments (de. STAIR) and its integration with the Galaxy-workbench of the RNA Bioinformatics Center (RBC).
Keyword:
Workflow development
Transcriptomics
Regulatory RNA
Metatranscriptomics
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期刊

Journal of Biotechnology 封面图
Journal of Biotechnology
IF:
3.9
论文数:
1.5W
被引数:
1.5W

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U
University of Rostock
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U
University of Freiburg
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被引数: 3.4W
L
Leipzig University
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2.0W
论文数: 1.6W
被引数: 17
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