Skip to main content

bammix

Project description

bammix

Summarise nucleotide counts at a set of positions in a BAM file to search for mixtures

Usage

usage: bammix -b bam_file.bam -p positions [options]

bammix

optional arguments:
  -h, --help            show this help message and exit
  -b BAM, --bam BAM     BAM file to be examined
  -p POSITIONS [POSITIONS ...], --positions POSITIONS [POSITIONS ...]
                        Set of positions to be checked
  -r REFERENCE, --reference REFERENCE
                        Name of reference the reads were mapped against, default MN908947.3
  -q BASE_QUALITY, --base_quality BASE_QUALITY
                        Minimum base quality to include a base in counts, default is to include all bases regardless of quality
  -m MAPPING_QUALITY, --mapping_quality MAPPING_QUALITY
                        Minimum mapping quality to include a read in counts, default is to include all reads
  -o O                  Optional prefix for output files, default is no prefix

Install

pip install bammix

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

bammix-1.0.0.tar.gz (16.2 kB view details)

Uploaded Source

Built Distribution

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

bammix-1.0.0-py3-none-any.whl (16.8 kB view details)

Uploaded Python 3

File details

Details for the file bammix-1.0.0.tar.gz.

File metadata

  • Download URL: bammix-1.0.0.tar.gz
  • Upload date:
  • Size: 16.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.1

File hashes

Hashes for bammix-1.0.0.tar.gz
Algorithm Hash digest
SHA256 5372be0fc5596ff77826aa32f6d5a044bc882b6d56254ccb53d711565d6f2029
MD5 54576ccae9c41d60ba31639c734bb296
BLAKE2b-256 7e0bde5082dd51cbf64381c75df7ba8a78730dd4f965571b8173f6dca96a8814

See more details on using hashes here.

File details

Details for the file bammix-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: bammix-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 16.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.1

File hashes

Hashes for bammix-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f79af0a6560d04c65452d81482724bcae35fa838b6b4e3a816e9df967a442899
MD5 98da02c4a3dc8facd3f30938cadf8487
BLAKE2b-256 4928c85ae9b21999ed31016e714164a4c7948fbb62dd0384a520d4462402cba8

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