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
Release history Release notifications | RSS feed
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)
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
bammix-1.0.0-py3-none-any.whl
(16.8 kB
view details)
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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5372be0fc5596ff77826aa32f6d5a044bc882b6d56254ccb53d711565d6f2029
|
|
| MD5 |
54576ccae9c41d60ba31639c734bb296
|
|
| BLAKE2b-256 |
7e0bde5082dd51cbf64381c75df7ba8a78730dd4f965571b8173f6dca96a8814
|
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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f79af0a6560d04c65452d81482724bcae35fa838b6b4e3a816e9df967a442899
|
|
| MD5 |
98da02c4a3dc8facd3f30938cadf8487
|
|
| BLAKE2b-256 |
4928c85ae9b21999ed31016e714164a4c7948fbb62dd0384a520d4462402cba8
|