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Peer-reviewed paper in GigaScience Journal

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Website: https://divbrowse.ipk-gatersleben.de
Documentation: https://divbrowse.readthedocs.io Paper: https://doi.org/10.1093/gigascience/giad025


Table of contents:


About DivBrowse

DivBrowse is a web application for interactive exploration and analysis of very large SNP matrices.

It offers a novel approach for interactive visualization and analysis of genomic diversity data and optionally also gene annotation data. The use of standard file formats for data input supports interoperability and seamless deployment of application instances based on established bioinformatics pipelines. The possible integration into 3rd-party web applications supports interoperability and reusability.

The integrated ad-hoc calculation of variant summary statistics and principal component analysis enables the user to perform interactive analysis of population structure for single genetic features like genes, exons and promoter regions. Data interoperability is achieved by the possibility to export genomic diversity data for genomic regions of interest in standardized VCF files.

Try out DivBrowse

If you want to test DivBrowse please visit the demo instances listed here: https://divbrowse.ipk-gatersleben.de/#demo-instances

Screenshots

DivBrowse GUI

Usage workflow concept

Usage workflow concept

Architecture

Architecture

Release files for divbrowse 1.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for divbrowse 1.1.0
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divbrowse-1.1.0.tar.gz 2.9 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for divbrowse 1.1.0
File Interpreter ABI Platform
divbrowse-1.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 4.5 MB

Release files / divbrowse-1.1.0.tar.gz

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Size 2.9 MB
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Release files / divbrowse-1.1.0-py3-none-any.whl

Download URL divbrowse-1.1.0-py3-none-any.whl
Size 1.6 MB
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