Python package for Next Generation Sequencing fragment manipulation
Project description
Next Generation Sequencing fragment manipulation
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
ngsfragments-2.0.9.tar.gz
(5.6 MB
view details)
Built Distribution
File details
Details for the file ngsfragments-2.0.9.tar.gz
.
File metadata
- Download URL: ngsfragments-2.0.9.tar.gz
- Upload date:
- Size: 5.6 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.7.1 CPython/3.11.3 Darwin/23.1.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | aa57f8f132d923fa31306164b602dee297b4091d96d1796e88a1b04477d148fd |
|
MD5 | e5f9f21f5fbfcc7025fe393c79a31141 |
|
BLAKE2b-256 | d1956c323e58ec6d54280665966fe24117aaf343502d15b063221abd0614da5d |
File details
Details for the file ngsfragments-2.0.9-cp311-cp311-macosx_14_0_x86_64.whl
.
File metadata
- Download URL: ngsfragments-2.0.9-cp311-cp311-macosx_14_0_x86_64.whl
- Upload date:
- Size: 4.6 MB
- Tags: CPython 3.11, macOS 14.0+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.7.1 CPython/3.11.3 Darwin/23.1.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4edfd076850d88eb22a8ef0e09aff57efced1da3831f8faa7ad83f66edb8f4bd |
|
MD5 | 239a5cbb3063c605ba4558c8b84063e9 |
|
BLAKE2b-256 | afd8a10e9883f37a3a2b9dd28737702210148600a1fac4b1ec472833095da60b |