Skip to main content

Add your description here

Project description

pipeline status coverage report

mnase_classifier

A detailed description of this project can be found here

Requirements

It is strongly recommended to sort the BAM files by name before running this tool.

samtools sort -n -o output.bam input.bam

Getting started

Getting the project up and running is as simple as:

Install from pypi

pipx install mnase-classifier

Install from source

if you want to install it from source you will need uv installed

clone the repository

git clone git@gitbio.ens-lyon.fr:LBMC/Bernard/mnase_classifier.git
cd mnase_classifier

Initialize the uv environment:

uv sync

Print help:

uv run mnase_classifier --help

Usage example

Classify paired reads from a BAM file into groups based on insert size:

uv run mnase_classifier --bam_input path/to/file.bam --outdir outdir --means "110 150 250 300" --min --max -v 

The -v flag enables verbose output for debugging.

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

mnase_classifier-0.2.8.tar.gz (22.1 kB view details)

Uploaded Source

Built Distribution

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

mnase_classifier-0.2.8-py3-none-any.whl (24.5 kB view details)

Uploaded Python 3

File details

Details for the file mnase_classifier-0.2.8.tar.gz.

File metadata

  • Download URL: mnase_classifier-0.2.8.tar.gz
  • Upload date:
  • Size: 22.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.12

File hashes

Hashes for mnase_classifier-0.2.8.tar.gz
Algorithm Hash digest
SHA256 095db5f96605dab789d7c7714d7bec44babd3b71681715b651d5f678871d83a9
MD5 35aeb981e5011c49e03e158df600db14
BLAKE2b-256 8315df494970980aed52ebb6565352fb207dd08c74a7a8a0b35beeeecee28fb7

See more details on using hashes here.

File details

Details for the file mnase_classifier-0.2.8-py3-none-any.whl.

File metadata

File hashes

Hashes for mnase_classifier-0.2.8-py3-none-any.whl
Algorithm Hash digest
SHA256 883e35c3047062ce786f200ef503c85ffe929c033bfa7b215cc4bb4ba2c5bde1
MD5 43adae1aacd5c127fab930110ad62b00
BLAKE2b-256 da614f1626e980eed6f74da87585efe5aeebaa85ffb5b370a30b4c0a230349a3

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