Skip to content

Tool for parsing outputs from fusion detection tools. Part of a nf-core/rnafusion pipeline. Checkout a live demo at https://matq007.github.io/fusion-report/example/

License

Notifications You must be signed in to change notification settings

pintoa1-mskcc/fusion-report

 
 

Repository files navigation

fusion-report

install with bioconda build Codacy Badge DOI Slack Status

This python script generates an interactive summary report from fusion detection tools. Fusion-report is part of a bigger project nf-core/rnafusion which is designed to detect and report fusion genes from RNA-seq data.

TL;DR: Live demo here.

Supported tools

Installation

Using Conda

conda install -c bioconda fusion-report=2.1.4

From source

sudo apt-get install sqlite3
python3 setup.py install

Usage

# Download required databases
# Currently supported databases: FusionGDB, Mitelman and COSMIC
# COSMIC requires login credentials to download Fusion gene Database
fusion_report download --cosmic_usr '<username>' --cosmic_passwd '<password>' /path/to/db/

# Run the fusion-report
fusion_report run "<SAMPLE NAME>" /path/to/output /path/to/db/ \
  --arriba tests/test_data/arriba.tsv \
  --dragen tests/test_data/dragen.tsv \
  --ericscript tests/test_data/ericscript.tsv \
  --fusioncatcher tests/test_data/fusioncatcher.txt \
  --pizzly tests/test_data/pizzly.tsv \
  --squid tests/test_data/squid.txt \
  --starfusion tests/test_data/starfusion.tsv \
  --jaffa tests/test_data/jaffa.csv \
  --allow-multiple-gene-symbols # in case gene symbol in fusion can't be determined, treat each provided fusion as a separate one.

Or get help and list all possible parameters.

fusion_report --help
fusion_report run --help
fusion_report download --help
fusion_report sync --help

For more info on how to run the script, please see the documentation.

Credits

About

Tool for parsing outputs from fusion detection tools. Part of a nf-core/rnafusion pipeline. Checkout a live demo at https://matq007.github.io/fusion-report/example/

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 65.0%
  • HTML 29.3%
  • JavaScript 4.0%
  • CSS 1.6%
  • Dockerfile 0.1%