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GeneNoteBook, a collaborative notebook for comparative genomics.


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.

SUBMITTER: Holmer R 

PROVIDER: S-EPMC6853645 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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GeneNoteBook, a collaborative notebook for comparative genomics.

Holmer Rens R   van Velzen Robin R   Geurts Rene R   Bisseling Ton T   de Ridder Dick D   Smit Sandra S  

Bioinformatics (Oxford, England) 20191101 22


<h4>Summary</h4>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 bioin  ...[more]

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