Your browser doesn't support javascript.
loading
GeneNoteBook, a collaborative notebook for comparative genomics.
Holmer, Rens; van Velzen, Robin; Geurts, Rene; Bisseling, Ton; de Ridder, Dick; Smit, Sandra.
Afiliación
  • Holmer R; Laboratory of Molecular Biology, 6708PB Wageningen, The Netherlands.
  • van Velzen R; Bioinformatics Group, Wageningen University, 6708PB Wageningen, The Netherlands.
  • Geurts R; Laboratory of Molecular Biology, 6708PB Wageningen, The Netherlands.
  • Bisseling T; Laboratory of Molecular Biology, 6708PB Wageningen, The Netherlands.
  • de Ridder D; Laboratory of Molecular Biology, 6708PB Wageningen, The Netherlands.
  • Smit S; Bioinformatics Group, Wageningen University, 6708PB Wageningen, The Netherlands.
Bioinformatics ; 35(22): 4779-4781, 2019 11 01.
Article en En | MEDLINE | ID: mdl-31199463
ABSTRACT

SUMMARY:

Analysis and comparison of genomic and transcriptomic datasets have become standard procedures in biological research. However, for non-model organisms no efficient tools exist to visually work with multiple genomes and their metadata, and to annotate such data in a collaborative way. Here we present GeneNoteBook a web based collaborative notebook for comparative genomics. GeneNoteBook allows experimental and computational researchers to query, browse, visualize and curate bioinformatic analysis results for multiple genomes. GeneNoteBook is particularly suitable for the analysis of non-model organisms, as it allows for comparing newly sequenced genomes to those of model organisms. AVAILABILITY AND IMPLEMENTATION GeneNoteBook is implemented as a node.js web application and depends on MongoDB and NCBI BLAST. Source code is available at https//github.com/genenotebook/genenotebook. Additionally, GeneNoteBook can be installed through Bioconda and as a Docker image. Full installation instructions and online documentation are available at https//genenotebook.github.io. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Genómica Idioma: En Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Genómica Idioma: En Año: 2019 Tipo del documento: Article