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)
1 maintainer
Metadata
1 maintainer
Release files for ngsfragments 2.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ngsfragments-2.6.0.tar.gz | 4.8 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ngsfragments-2.6.0-cp314-cp314-macosx_11_0_arm64.whl | CPython 3.14 | CPython 3.14 | macOS 11.0+ ARM64 | Details |
Total release size: 7.4 MB
Release files / ngsfragments-2.6.0.tar.gz
| Download URL | ngsfragments-2.6.0.tar.gz |
|---|---|
| Size | 4.8 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.6
|
Release files / ngsfragments-2.6.0-cp314-cp314-macosx_11_0_arm64.whl
| Download URL | ngsfragments-2.6.0-cp314-cp314-macosx_11_0_arm64.whl |
|---|---|
| Size | 2.6 MB |
| Tags | CPython 3.14 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
3a00145a3c87bac485ad6c5cb1c03baeabfc2941fd558be0dabfb318dd45be7d
|
|
BLAKE2b-256 checksum How to use checksums |
a25c331bc9d14ec3d31e675ab3a0475e264842165eac3b72445ea91cd78934a4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.6
|
