Skip to main content

Run GeneMark-ES using pretrained models

Project description

pygmes is a wraper for GeneMark-ES

This project aims at making GeneMark-ES more usable. By default GeneMark-ES has some problems with fragmented and incomplete genomes.

For metagenomic analysis this is an issue, thus I developed pygmes.

Status

Currently this project is very much WIP, so do expect problems and incomplete documentation.

It is just on pip already as it is a suggested package for EukCC (https://github.com/Finn-Lab/EukCC/)

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

pygmes-0.1.3.tar.gz (14.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pygmes-0.1.3-py3-none-any.whl (16.8 kB view details)

Uploaded Python 3

File details

Details for the file pygmes-0.1.3.tar.gz.

File metadata

  • Download URL: pygmes-0.1.3.tar.gz
  • Upload date:
  • Size: 14.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.3

File hashes

Hashes for pygmes-0.1.3.tar.gz
Algorithm Hash digest
SHA256 6226bc189fcdd346b7f591ea709e7e9c2f821bb57ee0f8d099fc0a072d3766eb
MD5 1b11415815a89d15f7a00ac368ac946e
BLAKE2b-256 565037238ab22ca3458061d39b2eecb4362e2ad1383f9852fd17ff0e7db7e692

See more details on using hashes here.

File details

Details for the file pygmes-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: pygmes-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 16.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.3

File hashes

Hashes for pygmes-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 56b362497a11d4bae06225bb323012d107be25c4d4ebd76291d51a2d117c99a9
MD5 68d30d9789a8043753fbf633681011eb
BLAKE2b-256 01c3e772f4f1b0bce858ba78bafc7b3a0d04101486d204ad5b67813090c41c9e

See more details on using hashes here.

Supported by

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