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-2.0.3.tar.gz (6.0 MB view details)

Uploaded Source

Built Distribution

ngsfragments-2.0.3-cp310-cp310-macosx_13_0_x86_64.whl (1.7 MB view details)

Uploaded CPython 3.10 macOS 13.0+ x86-64

File details

Details for the file ngsfragments-2.0.3.tar.gz.

File metadata

  • Download URL: ngsfragments-2.0.3.tar.gz
  • Upload date:
  • Size: 6.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.4.2 CPython/3.10.10 Darwin/22.1.0

File hashes

Hashes for ngsfragments-2.0.3.tar.gz
Algorithm Hash digest
SHA256 dfaebbfa56c0ba40af32a153a619701716d90fc2cb3471d25a709eee70432711
MD5 cb084eb6e06b5cb8d33f9ff015aaabea
BLAKE2b-256 aac58bb773586b6bd12ccb5ceb58647385a95ede767ed59edf01f159a02fd1e8

See more details on using hashes here.

File details

Details for the file ngsfragments-2.0.3-cp310-cp310-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for ngsfragments-2.0.3-cp310-cp310-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 c8ba98f12f2b4506478e7e962ff5bbd700ee06b5d3443b32b80ea58ed7bd0f65
MD5 c2a2fcfcef6fe3ab9879180702fe10f0
BLAKE2b-256 e0da62c9254aa39ceb6ea6b7e389e78fa79ec7cca201923c74cf8e2a0041646c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page