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-2.1.8.tar.gz (6.7 MB view details)

Uploaded Source

Built Distribution

ngsfragments-2.1.8-cp311-cp311-macosx_14_0_x86_64.whl (2.4 MB view details)

Uploaded CPython 3.11 macOS 14.0+ x86-64

File details

Details for the file ngsfragments-2.1.8.tar.gz.

File metadata

  • Download URL: ngsfragments-2.1.8.tar.gz
  • Upload date:
  • Size: 6.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.7.1 CPython/3.11.3 Darwin/23.4.0

File hashes

Hashes for ngsfragments-2.1.8.tar.gz
Algorithm Hash digest
SHA256 e0d9d40ca3fc178a1dfb7a85b46d1addedf1053b68f1a92d39cc6499abe7f895
MD5 13a6edd416262c46d6261b9cb9958330
BLAKE2b-256 811900dbffd81351dd6c03c4f739cd0729238cdf56500c0a47da4efae971dfd5

See more details on using hashes here.

File details

Details for the file ngsfragments-2.1.8-cp311-cp311-macosx_14_0_x86_64.whl.

File metadata

File hashes

Hashes for ngsfragments-2.1.8-cp311-cp311-macosx_14_0_x86_64.whl
Algorithm Hash digest
SHA256 f8057315a1bea1d6e170188dc2b852cd217266cbbedc798ee4e689a3a637c11b
MD5 63fb1e8bf910ae3623cf90fca4193c4d
BLAKE2b-256 c07437787fdead5b5f82fff52629adb6fd9d33aa18f1271ab6a01eeec874a80d

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