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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Veröffentlicht in: | PLoS computational biology 2017-05, Vol.13 (5), p.e1005425-e1005425 |
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Sprache: | eng |
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