Skip to main content

Loci Visualisation Tool.

Project description

Description

LoVis4u is a bioinformatics tool for Locus Visualisation.

Supported input: Genbank, gff3 with sequence
Supported output: Static vector graphics (pdf)
Programming language: Python3
OS: MacOS, Linux
Python dependencies: biopython, bcbio-gff, scipy, configs, argparse, pandas, distinctipy, matplotlib, seaborn, reportlab
Python version: >= 3.8
OS-level dependencies: MMseqs2 (included in the package)
License: WTFPL
Version: 0.0.10 (October 2024)

Detailed documentation with user guide is available at LoVis4u Homepage

Reference

If you find LoVis4u useful, please cite:
Artyom. A. Egorov, Gemma C. Atkinson, LoVis4u: Locus Visualisation tool for comparative genomics, bioRxiv 2024.09.11.612399; doi: 10.1101/2024.09.11.612399

Contact

Please contact us by e-mail artemdotegorovATmeddotludotse or use Issues to report any technical problems.
You can also use Discussions section for sharing your ideas or feature requests!

Authors

LoVis4u is developed by Artyom Egorov at the Atkinson Lab, Department of Experimental Medical Science, Lund University, Sweden. We are open for suggestions to extend and improve LoVis4u functionality. Please don't hesitate to share your ideas or feature requests.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lovis4u-0.0.10.2.tar.gz (77.4 MB view details)

Uploaded Source

File details

Details for the file lovis4u-0.0.10.2.tar.gz.

File metadata

  • Download URL: lovis4u-0.0.10.2.tar.gz
  • Upload date:
  • Size: 77.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for lovis4u-0.0.10.2.tar.gz
Algorithm Hash digest
SHA256 3ac9e4216b217fe1a4505c91a4b4ac4f9ef06a4cb12bcca72ef7c19bb5c9b723
MD5 1a3455d475f5b0f6e32dafd07843e730
BLAKE2b-256 2df6dd989292db342d095e5c4d027c368a05385a236e978d14303d008c324c22

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page