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The Image Data Resource: A Bioimage Data Integration and Publication Platform.
Williams, Eleanor; Moore, Josh; Li, Simon W; Rustici, Gabriella; Tarkowska, Aleksandra; Chessel, Anatole; Leo, Simone; Antal, Bálint; Ferguson, Richard K; Sarkans, Ugis; Brazma, Alvis; Salas, Rafael E Carazo; Swedlow, Jason R.
Afiliação
  • Williams E; Centre for Gene Regulation & Expression & Division of Computational Biology, University of Dundee, Dundee, Scotland, UK.
  • Moore J; European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, United Kingdom.
  • Li SW; Centre for Gene Regulation & Expression & Division of Computational Biology, University of Dundee, Dundee, Scotland, UK.
  • Rustici G; Centre for Gene Regulation & Expression & Division of Computational Biology, University of Dundee, Dundee, Scotland, UK.
  • Tarkowska A; Centre for Gene Regulation & Expression & Division of Computational Biology, University of Dundee, Dundee, Scotland, UK.
  • Chessel A; Centre for Gene Regulation & Expression & Division of Computational Biology, University of Dundee, Dundee, Scotland, UK.
  • Leo S; Pharmacology & Genetics Departments and Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK.
  • Antal B; LOB, Ecole Polytechnique, CNRS, INSERM, Université Paris-Saclay, Palaiseau, France.
  • Ferguson RK; Centre for Gene Regulation & Expression & Division of Computational Biology, University of Dundee, Dundee, Scotland, UK.
  • Sarkans U; Center for Advanced Studies, Research, and Development in Sardinia (CRS4), Pula(CA), Italy.
  • Brazma A; Pharmacology & Genetics Departments and Cambridge Systems Biology Centre, University of Cambridge, Cambridge, UK.
  • Salas REC; Centre for Gene Regulation & Expression & Division of Computational Biology, University of Dundee, Dundee, Scotland, UK.
  • Swedlow JR; European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, United Kingdom.
Nat Methods ; 14(8): 775-781, 2017 Aug.
Article em En | MEDLINE | ID: mdl-28775673
ABSTRACT
Access to primary research data is vital for the advancement of science. To extend the data types supported by community repositories, we built a prototype Image Data Resource (IDR) that collects and integrates imaging data acquired across many different imaging modalities. IDR links data from several imaging modalities, including high-content screening, super-resolution and time-lapse microscopy, digital pathology, public genetic or chemical databases, and cell and tissue phenotypes expressed using controlled ontologies. Using this integration, IDR facilitates the analysis of gene networks and reveals functional interactions that are inaccessible to individual studies. To enable re-analysis, we also established a computational resource based on Jupyter notebooks that allows remote access to the entire IDR. IDR is also an open source platform that others can use to publish their own image data. Thus IDR provides both a novel on-line resource and a software infrastructure that promotes and extends publication and re-analysis of scientific image data.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistemas de Gerenciamento de Base de Dados / Interface Usuário-Computador / Software / Interpretação de Imagem Assistida por Computador / Bases de Dados Factuais / Disseminação de Informação Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistemas de Gerenciamento de Base de Dados / Interface Usuário-Computador / Software / Interpretação de Imagem Assistida por Computador / Bases de Dados Factuais / Disseminação de Informação Idioma: En Ano de publicação: 2017 Tipo de documento: Article