Web-based NGS data analysis using miRMaster: A large-scale meta-analysis of human miRNAs

Nucleic Acids Research

Volumn 45, Issue 15, 2017, Pages 8731-8744

  Fehlmann, Tobias ^a   Backes, Christina ^a   Kahraman, Mustafa ^a,b   Haas, Jan ^c,d,e   Ludwig, Nicole ^f   Posch, Andreas E ^g   Würstle, Maximilian L ^h   Hübenthal, Matthias ⁱ   Franke, Andre ⁱ   Meder, Benjamin ^c,d,e   Meese, Eckart ^f   Keller, Andreas ^a  

^a SAARLAND UNIVERSITY   (Germany)

^b Hummingbird Diagnostics GmbH   (Germany)

^c UNIVERSITY HOSPITAL HEIDELBERG   (Germany)

^d DZHK GERMAN CENTRE FOR CARDIOVASCULAR RESEARCH   (Germany)

^e Klaus Tschira Institute for Integrative Computational Cardiology   (Germany)

^f SAARLAND UNIVERSITY   (Germany)

^g Ares Genetics GmbH   (Austria)

^h SIEMENS AG   (Germany)

ⁱ UNIVERSITY OF KIEL   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

MICRORNA; UNTRANSLATED RNA; TRANSCRIPTOME;

ARTICLE; DATA ANALYSIS; DATA ANALYSIS SOFTWARE; HIGH THROUGHPUT SEQUENCING; HUMAN; META ANALYSIS (TOPIC); MICROARRAY ANALYSIS; NEXT GENERATION SEQUENCING; PRIORITY JOURNAL; RNA ANALYSIS; BIOLOGY; GENETICS; INTERNET; PROCEDURES; SEQUENCE ANALYSIS; STATISTICAL ANALYSIS; STATISTICS AND NUMERICAL DATA; VALIDATION STUDY;

COMPUTATIONAL BIOLOGY; DATA INTERPRETATION, STATISTICAL; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; INTERNET; MICROARRAY ANALYSIS; MICRORNAS; SEQUENCE ANALYSIS, RNA; TRANSCRIPTOME; VALIDATION STUDIES AS TOPIC;

EID: 85032863592     PISSN: 03051048     EISSN: 13624962     Source Type: Journal    
DOI: 10.1093/nar/gkx595     Document Type: Article

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