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Synaptome.db: a bioconductor package for synaptic proteomics data.
Sorokina, Oksana; Sorokin, Anatoly; Armstrong, J Douglas.
Afiliação
  • Sorokina O; School of informatics, University of Edinburgh, Edinburgh EH8 9AB, UK.
  • Sorokin A; Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK.
  • Armstrong JD; Biological Systems Unit, Okinawa Institute of Science and Technology, Okinawa 1919-1, Japan.
Bioinform Adv ; 2(1): vbac086, 2022.
Article em En | MEDLINE | ID: mdl-36699346
ABSTRACT

Summary:

The neuronal synapse is underpinned by a large and diverse proteome but the molecular evidence is spread across many primary datasets. These data were recently curated into a single dataset describing a landscape of ∼8000 proteins found in studies of mammalian synapses. Here, we describe programmatic access to the dataset via the R/Bioconductor package Synaptome.db, which enables convenient and in-depth data analysis from within the Bioconductor environment. Synaptome.db allows users to obtain the respective gene information, e.g. subcellular localization, brain region, gene ontology, disease association and construct custom protein-protein interaction network models for gene sets and entire subcellular compartments. Availability and implementation The package Synaptome.db is part of Bioconductor since release 3.14, https//bioconductor.org/packages/release/data/annotation/html/synaptome.db.html, it is open source and available under the Artistic license 2.0. The development version is maintained on GitHub (https//github.com/lptolik/synaptome.db). Full documentation including examples is provided in the form of vignettes on the package webpage. Supplementary information Supplementary data are available at Bioinformatics Advances online.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article