Skip to main content

Bioleaching microbial community

Project description

bioleach-balrog

An alternate version of bioleach that uses the machine-learning based method balrog for gene prediction.

In general, refer to the bioleach documentation , as usage of bioleach-balrog is identical to bioleach except that it substitutes Balrog for Prodigal in the gene prediction step.

See documentation specific to bioleach-balrog here: bioleach-balrog documentation.

Installation

The suggested method for installing bioleach-balrog is via pip in a dedicated conda environment

conda create -n bioleach -c conda-forge -c bioconda \
  pandas seaborn biopython sra-tools pysradb \
  mysql-connector-python sqlalchemy fastp kraken2 bowtie2 \
  samtools megahit prodigal numpy=2.3 pytorch mmseqs2 balrog
pip install bioleach-balrog

After installing, confirm you have the latest version

bioleach-balrog --version

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

bioleach_balrog-0.0.7.tar.gz (5.2 kB view details)

Uploaded Source

Built Distribution

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

bioleach_balrog-0.0.7-py3-none-any.whl (6.2 kB view details)

Uploaded Python 3

File details

Details for the file bioleach_balrog-0.0.7.tar.gz.

File metadata

  • Download URL: bioleach_balrog-0.0.7.tar.gz
  • Upload date:
  • Size: 5.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.12

File hashes

Hashes for bioleach_balrog-0.0.7.tar.gz
Algorithm Hash digest
SHA256 f862455283ea5fa3e055a6ed77f29fea9b7e2e6666788c1bbb1ae28da6e34a59
MD5 6a4efed1f2e4542073fc2b7f3b81a928
BLAKE2b-256 abcdcf968486ce421bddcfeb761d5ba0fb4031c749796a7ebbcb7e92a0f7d946

See more details on using hashes here.

File details

Details for the file bioleach_balrog-0.0.7-py3-none-any.whl.

File metadata

File hashes

Hashes for bioleach_balrog-0.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 35762408fce0196e0c71add4b710556f8d4468d35b7919ae8b4bc57e2ec0dbb5
MD5 f6eef4ccbaf85d8be1f2904179382284
BLAKE2b-256 03c24810a9bfa9380117ea78801bdfe31895991e9b24eff4b585384dbf631f6a

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