riboviz: analysis and visualization of ribosome profiling datasets.
BMC Bioinformatics
; 18(1): 461, 2017 Oct 25.
Article
em En
| MEDLINE
| ID: mdl-29070028
ABSTRACT
BACKGROUND:
Using high-throughput sequencing to monitor translation in vivo, ribosome profiling can provide critical insights into the dynamics and regulation of protein synthesis in a cell. Since its introduction in 2009, this technique has played a key role in driving biological discovery, and yet it requires a rigorous computational toolkit for widespread adoption. DESCRIPTION We have developed a database and a browser-based visualization tool, riboviz, that enables exploration and analysis of riboseq datasets. In implementation, riboviz consists of a comprehensive and flexible computational pipeline that allows the user to analyze private, unpublished datasets, along with a web application for comparison with published yeast datasets. Source code and detailed documentation are freely available from https//github.com/shahpr/RiboViz . The web-application is live at www.riboviz.org.CONCLUSIONS:
riboviz provides a comprehensive database and analysis and visualization tool to enable comparative analyses of ribosome-profiling datasets. This toolkit will enable both the community of systems biologists who study genome-wide ribosome profiling data and also research groups focused on individual genes to identify patterns of transcriptional and translational regulation across different organisms and conditions.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Ribossomos
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Internet
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Bases de Dados Genéticas
Idioma:
En
Ano de publicação:
2017
Tipo de documento:
Article