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 \
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file bioleach_balrog-0.0.6.tar.gz.
File metadata
- Download URL: bioleach_balrog-0.0.6.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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
999e1f7e613a3f65059d962f961d07f45b054e02ad342adee079c6372e53ebd2
|
|
| MD5 |
a21a140f081da9bcdc6611f962c47698
|
|
| BLAKE2b-256 |
1ee7b127452bb3236f7d80f26a26ec565892ae721ae1b6d7263015c3f66f7320
|
File details
Details for the file bioleach_balrog-0.0.6-py3-none-any.whl.
File metadata
- Download URL: bioleach_balrog-0.0.6-py3-none-any.whl
- Upload date:
- Size: 6.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a18aa36316fc2f333fc3980b8d05df507157576602426d2dded655208cd233cf
|
|
| MD5 |
ddddfe2ebe946fbb2aa37e8ed5e70f83
|
|
| BLAKE2b-256 |
87dcd5def365b21ee2eec19dc103c24987c82aaf7dc8294e06552e54293f1127
|