Jupyter and Galaxy: Easing entry barriers into complex data analyses for biomedical researchers.
PLoS Comput Biol
; 13(5): e1005425, 2017 05.
Article
em En
| MEDLINE
| ID: mdl-28542180
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.e., the list of variable sites). The subsequent exploratory stage is much more ad hoc and requires the development of custom scripts and pipelines, making it problematic for biomedical researchers. Here, we describe a hybrid platform combining common analysis pathways with the ability to explore data interactively. It aims to fully encompass and simplify the "raw data-to-publication" pathway and make it reproducible.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Pesquisadores
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Software
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Biologia Computacional
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Pesquisa Biomédica
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Sequenciamento de Nucleotídeos em Larga Escala
Limite:
Humans
Idioma:
En
Ano de publicação:
2017
Tipo de documento:
Article