OMERO: Flexible, model-driven data management for experimental biology

Nature Methods

Volumn 9, Issue 3, 2012, Pages 245-253

  Allan, Chris ^a,b   Burel, Jean Marie ^a,b   Moore, Josh ^b   Blackburn, Colin ^a   Linkert, Melissa ^b   Loynton, Scott ^a   MacDonald, Donald ^a   Moore, William J ^a   Neves, Carlos ^b   Patterson, Andrew ^a   Porter, Michael ^a   Tarkowska, Aleksandra ^a   Loranger, Brian ^a   Avondo, Jerome ^c   Lagerstedt, Ingvar ^d   Lianas, Luca ^e   Leo, Simone ^e   Hands, Katherine ^a   Hay, Ron T ^a   Patwardhan, Ardan ^d   Best, Christoph ^d,f   Kleywegt, Gerard J ^d   Zanetti, Gianluigi ^e   Swedlow, Jason R ^a,b   more..

^a UNIVERSITY OF DUNDEE   (United Kingdom)

^b Glencoe Software Inc   (United States)

^c JOHN INNES CENTRE   (United Kingdom)

^d WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

^e CRS4 ^*  (Italy)

^f GOOGLE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGY; DATA ANALYSIS; DATA ANALYSIS SOFTWARE; ELECTRON MICROSCOPY; FLOW; GENOTYPE; HIGH THROUGHPUT SCREENING; IMAGE ANALYSIS; MICROSCOPY; PRIORITY JOURNAL; REVIEW;

ANIMALS; BIOLOGY; COMPUTER SIMULATION; DATABASE MANAGEMENT SYSTEMS; DATABASES, FACTUAL; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MODELS, BIOLOGICAL; SOFTWARE; USER-COMPUTER INTERFACE;

EID: 84863393849     PISSN: 15487091     EISSN: 15491676     Source Type: Journal    
DOI: 10.1038/nmeth.1896     Document Type: Review

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