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, pyhmmer, progress, requests Python version: >= 3.8
OS-level dependencies: MMseqs2 (included in the package)
License: WTFPL
Version: 0.0.11 (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-0.0.11.tar.gz (77.5 MB view details)

Uploaded Source

File details

Details for the file lovis4u-0.0.11.tar.gz.

File metadata

  • Download URL: lovis4u-0.0.11.tar.gz
  • Upload date:
  • Size: 77.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for lovis4u-0.0.11.tar.gz
Algorithm Hash digest
SHA256 ccab5b4cc5cd66d7e7970b0063f1d07068e6ad1c9728cc17805a2610800fa507
MD5 07302b23f6fc89093f1ca585110ab914
BLAKE2b-256 3c8bb868e11e2b662ee587f83202c8e55f068736094818c703145c48a4efc458

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