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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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| Publicado no: | F1000Res |
|---|---|
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
F1000Research
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5657030/ https://ncbi.nlm.nih.gov/pubmed/29123641 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.12688/f1000research.12168.1 |
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