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

Files

Jupyter and Galaxy Easing entry barriers into complex data analyses for biomedical researchers____COMPLETO.pdf (3.4 MB)

Date

2017

Type:

Artículo

Collections

Artículos Medicina y Ciencias de la Salud

Descargas totales

70

Vistas totales

0
Gestores bibliográficos

Authors

item.contributor.advisor

ORCID:

Journal Title

Journal ISSN

Volume Title

Publisher

PLoS

item.page.isbn

item.page.issn

item.page.issne

item.page.doiurl

URI

http://hdl.handle.net/11447/1637
 http://dx.doi.org/10.1371/journal.pcbi.1005425

item.page.extent

10

item.page.accessRights

item.page.other

item.page.references

Abstract

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....

Description

item.page.coverage.spatial

item.page.sponsorship

Citation

PLoS Comput Biol. 2017 May; 13(5): e1005425

Keywords

Biomedical Research/methods , Biomedical Research/organization & administration , Computational Biology , High-Throughput Nucleotide Sequencing , Humans , Research Personnel , Software

item.page.dc.rights

item.page.dc.rights.url

Estadísticas de uso
1 0,8 0,5 0,3 0
Septiembre 2025Octubre 2025Noviembre 2025Diciembre 2025Enero 2026Febrero 2026Marzo 2026

Implementado por OpenGeek Services