Skip to main content

A package for splitting reads in BAM/FASTQ files into smaller fragments.

Project description

Bamurai

A Python package for splitting reads in BAM/FASTQ files into smaller fragments.

Description

Bamurai is a command-line tool for splitting reads in BAM/FASTQ files into smaller fragments. It is designed to be fast and efficient, and can be used to split reads into a target length or a target number of pieces per read.

Currently there are 3 main features of Bamurai:

  1. Splitting reads in a file to a target length
  2. Splitting reads in a file to a target number of pieces per read
  3. Getting statistics from a BAM or FASTQ(.gz) file

The split command splits reads into a target length, each read will be split into fragments as close to the target length as possible. Reads shorter than the target length will not be split.

The divide command splits reads into a target number of pieces, each read will be split into the number of pieces specified. A further minimum length can be specified to ensure that reads are not split if the resultant fragments are less than the minimum length.

The stats command will output the following information by default:

Statistics for input.bam:
  Total reads: 8160
  Average read length: 30638
  Throughput: 250006998
  N50: 82547

It can be used with the --tsv argument to output the statistics in a tab-separated format for computational analysis.

file_name       total_reads     avg_read_len    throughput      n50
input.bam      8160    30638   250006998       82547

Installation

To install the released version of Bamurai from PyPI

pip install bamurai

To install the latest version of Bamurai from GitHub

pip install git+https://github.com/Shians/Bamurai.git

Usage

To get help on the command-line interface and list available commands

bamurai --help

To get help on a specific command

bamurai <command> --help

Splitting reads to target size

To split a file into 10,000 bp reads

bamurai split input.bam --target-length 10000 --output output.fastq

To create a gzipped output file

bamurai split input.bam --target-length 10000 | gzip > output.fastq.gz

Dividing reads into a target number of pieces

To divide reads into 2 pieces

bamurai divide input.bam --num_fragments 2 --output output.fastq

To divide reads into 2 pieces unless resultant fragments are less than 1000 bp

bamurai divide input.bam --num_fragments 2 --min_length 1000 --output output.fastq

Getting statistics from a BAM or FASTQ file

To get stats from a BAM file

bamurai stats input.bam

To get stats from a FASTQ file or Gzipped FASTQ file

bamurai stats input.fastq
bamurai stats input.fastq.gz

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

bamurai-0.4.0.tar.gz (12.6 kB view details)

Uploaded Source

Built Distribution

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

bamurai-0.4.0-py3-none-any.whl (14.6 kB view details)

Uploaded Python 3

File details

Details for the file bamurai-0.4.0.tar.gz.

File metadata

  • Download URL: bamurai-0.4.0.tar.gz
  • Upload date:
  • Size: 12.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for bamurai-0.4.0.tar.gz
Algorithm Hash digest
SHA256 12c810421226747f95b72c0b787b963dfab4c54f2822e71a078491747337e87d
MD5 79a53135c5c3683133ceed90c6603c2c
BLAKE2b-256 1b5dd9e78cdffae28f586d29b060d70ec4b26682df365674645a18d6932dd820

See more details on using hashes here.

Provenance

The following attestation bundles were made for bamurai-0.4.0.tar.gz:

Publisher: publish-to-pypi.yml on Shians/Bamurai

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file bamurai-0.4.0-py3-none-any.whl.

File metadata

  • Download URL: bamurai-0.4.0-py3-none-any.whl
  • Upload date:
  • Size: 14.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for bamurai-0.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 816a7066f6772b8b4637bc35b1c18f65c181244a66becffe065d79d3b4ceb80f
MD5 6656a57dd202e52f8cfbcfe4d112bf0b
BLAKE2b-256 0f9ade07049a99d9350b34ee94236d68de4f80f15a01ce14afae30d0dbcf5c11

See more details on using hashes here.

Provenance

The following attestation bundles were made for bamurai-0.4.0-py3-none-any.whl:

Publisher: publish-to-pypi.yml on Shians/Bamurai

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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