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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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| Pubblicato in: | F1000Res |
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| Autori principali: | , , , , , , , , , , , , , , , , , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
F1000Research
2017
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| Soggetti: | |
| Accesso online: | 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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