Your browser doesn't support javascript.
loading
shinyExprPortal: a configurable 'shiny' portal for sharing analysis of molecular expression data.
Henkin, Rafael; Goldmann, Katriona; Lewis, Myles; Barnes, Michael R.
Afiliación
  • Henkin R; Centre for Translational Bioinformatics, William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, United Kingdom.
  • Goldmann K; Digital Environment Research Institute, Queen Mary University of London, London E1 1HH, United Kingdom.
  • Lewis M; Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, United Kingdom.
  • Barnes MR; Alan Turing Institute, London NW1 2DB, United Kingdom.
Bioinformatics ; 40(4)2024 03 29.
Article en En | MEDLINE | ID: mdl-38552327
ABSTRACT
MOTIVATION The scale of omics research presents many obstacles to full sharing and access to analysis results. Current publication models impose limits on the number of pages and figures, requiring careful preparation and selection of content. At the same time, depositing data in open repositories significantly shifts the burden of access and reproduction to readers, who may include people who are not programmers or analysts.

RESULTS:

We introduce shinyExprPortal, an R package that implements omics web portals with minimal coding effort. The portals allow exploration of transcriptomic or proteomic expression data and phenotypes, showcasing results of various types of analysis including differential expression, co-expression and pathways analysis. The integration with bioinformatics workflows enables researchers to focus on their results and share findings using interactive and publication-quality plots. AVAILABILITY AND IMPLEMENTATION The shinyExprPortal package is available to download and install from CRAN and https//github.com/C4TB/shinyExprPortal.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Proteómica Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Proteómica Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido