Skip to main content

Python package for Next Generation Sequencing fragment manipulation

Project description

Next Generation Sequencing fragment manipulation

Build Status PyPI version

This is a Python package for easy and efficient manipulation of Next Generation Sequencing reads.

Install

If you dont already have numpy and scipy installed, it is best to download Anaconda, a python distribution that has them included.

    https://continuum.io/downloads

Dependencies can be installed by:

    pip install -r requirements.txt

PyPI install, presuming you have all its requirements installed:

    pip install NGSfragments

Usage

from NGSfragments import fragments
import numpy as np

# Create data
frags = fragments("test_bam.bam", verbose=True)

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

ngsfragments-2.5.3.tar.gz (6.6 MB view details)

Uploaded Source

Built Distribution

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

ngsfragments-2.5.3-cp312-cp312-macosx_26_0_arm64.whl (1.4 MB view details)

Uploaded CPython 3.12macOS 26.0+ ARM64

File details

Details for the file ngsfragments-2.5.3.tar.gz.

File metadata

  • Download URL: ngsfragments-2.5.3.tar.gz
  • Upload date:
  • Size: 6.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.2.1 CPython/3.13.9 Darwin/25.1.0

File hashes

Hashes for ngsfragments-2.5.3.tar.gz
Algorithm Hash digest
SHA256 304bff2b9afe21e6228614b7e301abc7647fbbf975fcb24e728a19f9f634616f
MD5 0ebd5c84182a4e7997da414e8948ccad
BLAKE2b-256 f98886b8ee0f90612be06d3a66eeeafe0da32b76623b796650667d9f99c4a884

See more details on using hashes here.

File details

Details for the file ngsfragments-2.5.3-cp312-cp312-macosx_26_0_arm64.whl.

File metadata

File hashes

Hashes for ngsfragments-2.5.3-cp312-cp312-macosx_26_0_arm64.whl
Algorithm Hash digest
SHA256 fd6e46140d97ebc917529cfc26cb67e3c4a90f7f98f6707f717dbedafc6b9f90
MD5 5e9769dfab8c3901dabcf7f5c3cefb4f
BLAKE2b-256 429febc0083c5cf84dc35c5e1beb6ea5e21f025cdcb859433f68087585d82d51

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