Systematically linking tranSMART, Galaxy and EGA for reusing human translational research data

The availability of high-throughput molecular profiling techniques has provided more accurate and informative data for regular clinical studies. Nevertheless, complex computational workflows are required to interpret these data. Over the past years, the data volume has been growing explosively, requ...

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Detalles Bibliográficos
Autores principales: Zhang, Chao, Bijlard, Jochem, Staiger, Christine, Scollen, Serena, van Enckevort, David, Hoogstrate, Youri, Senf, Alexander, Hiltemann, Saskia, Repo, Susanna, Pipping, Wibo, Bierkens, Mariska, Payralbe, Stefan, Stringer, Bas, Heringa, Jaap, Stubbs, Andrew, Bonino Da Silva Santos, Luiz Olavo, Belien, Jeroen, Weistra, Ward, Azevedo, Rita, van Bochove, Kees, Meijer, Gerrit, Boiten, Jan-Willem, Rambla, Jordi, Fijneman, Remond, Spalding, J. Dylan, Abeln, Sanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2017
Materias:
Method Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5657030/
https://www.ncbi.nlm.nih.gov/pubmed/29123641
http://dx.doi.org/10.12688/f1000research.12168.1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5657030/
https://www.ncbi.nlm.nih.gov/pubmed/29123641
http://dx.doi.org/10.12688/f1000research.12168.1

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