Multi-omic data analysis using Galaxy

Nature Biotechnology

Volumn 33, Issue 2, 2015, Pages 137-139

  Boekel, Jorrit ^a,b   Chilton, John M ^c,j   Cooke, Ira R ^d,e   Horvatovich, Peter L ^f   Jagtap, Pratik D ^c   Käll, Lukas ^g   Lehtiö, Janne ^a   Lukasse, Pieter ^h   Moerland, Perry D ⁱ   Griffin, Timothy J ^c  

^a KAROLINSKA INSTITUTE   (Sweden)

^b Bioinformatics Infrastructure for Life Sciences ^*  (Sweden)

^c UNIVERSITY OF MINNESOTA   (United States)

^d LA TROBE UNIVERSITY   (Australia)

^e Life Sciences Computation Centre   (Australia)

^f UNIVERSITY OF GRONINGEN   (Netherlands)

^g ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

^h WAGENINGEN UNIVERSITY   (Netherlands)

ⁱ UNIVERSITY OF AMSTERDAM   (Netherlands)

^j PENNSYLVANIA STATE UNIVERSITY   (United States)

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Author keywords

[No Author keywords available]

Indexed keywords

TENIDAP; TRANSCRIPTOME;

BIOINFORMATICS; BIOLOGY; BIOMEDICINE; BIOMICS; COMPUTER PROGRAM; DATA ANALYSIS; DATA ANALYSIS SOFTWARE; GENOMICS; HIGH THROUGHPUT SEQUENCING; HUMAN; INFORMATION PROCESSING; LETTER; MASS SPECTROMETRY; METABOLOMICS; MULTIOMICS; PRACTICE GUIDELINE; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEOMICS; REPRODUCIBILITY; SCIENCE; SCIENTIST; SEQUENCE DATABASE; TRANSCRIPTOMICS; WORKFLOW; PROCEDURES; STATISTICS;

COMPUTATIONAL BIOLOGY; HUMANS; PROTEOMICS; SOFTWARE; STATISTICS AS TOPIC;

EID: 84923373613     PISSN: 10870156     EISSN: 15461696     Source Type: Journal    
DOI: 10.1038/nbt.3134     Document Type: Letter

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