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Jupyter and Galaxy: Easing entry barriers into complex data analyses for biomedical researchers

Jupyter and Galaxy: Easing entry barriers into complex data analyses for biomedical researchers

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1910463573

Jupyter and Galaxy: Easing entry barriers into complex data analyses for biomedical researchers

About this item

Full title

Jupyter and Galaxy: Easing entry barriers into complex data analyses for biomedical researchers

Publisher

United States: Public Library of Science

Journal title

PLoS computational biology, 2017-05, Vol.13 (5), p.e1005425-e1005425

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

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 the development of custom scripts and pipelines, ma...

Alternative Titles

Full title

Jupyter and Galaxy: Easing entry barriers into complex data analyses for biomedical researchers

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_1910463573

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1910463573

Other Identifiers

ISSN

1553-7358,1553-734X

E-ISSN

1553-7358

DOI

10.1371/journal.pcbi.1005425

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