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Jupyter and Galaxy: Easing entry barriers into complex data analyses for biomedical researchers
What does it take to convert a heap of sequencing data into a publishable result? First, common tools are employed to reduce primary data (sequencing reads) to a form suitable for further analyses (i.e., the list of variable sites). The subsequent exploratory stage is much more ad hoc and requires t...
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| Publicado en: | PLoS Comput Biol |
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| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Public Library of Science
2017
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5444614/ https://ncbi.nlm.nih.gov/pubmed/28542180 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1005425 |
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