Python package for fragment manipulation for cfDNA
Project description
Cell-free DNA analysis toolkit
This is a Python package for easy and efficient cell-free DNA analysis.
All citations should reference to original paper.
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
Create environment and pip install:
conda create -n cfdna python=3.11.3
conda activate cfdna
pip install cfdna
Dependencies can be installed by:
pip install -r requirements.txt
PyPI install, presuming you have all its requirements installed:
pip install cfdna
Usage
import cfdna as cf
import numpy as np
# Create data
cfdata = cf.cfDNA()
frags = cf.io.readBAM("test.bam")
# Call CNVs
cf.proc.call_cnv_pipline(cfdata, frags)
# Plot CNVs
cf.pl.plot_cnv(cfdata, "test.bam")
Run from the commadline:
python -m cfdna callCNVs --bam test.bam --segs --genome hg19 --bin_size 100000
This will output a .png plot and seg file.
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file cfdna-2.5.2.tar.gz.
File metadata
- Download URL: cfdna-2.5.2.tar.gz
- Upload date:
- Size: 46.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.2.1 CPython/3.13.9 Darwin/25.1.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
494447f5f77079a68f48b3ed07cfb48bc44cf14c07bb43e528c3caaa3b3230bc
|
|
| MD5 |
218ca342ee82718473416a808500acf2
|
|
| BLAKE2b-256 |
306586ddfd099bf3dd74c5635426fb23bc5de5c38d4062bb06733defa3be2fc1
|
File details
Details for the file cfdna-2.5.2-py3-none-any.whl.
File metadata
- Download URL: cfdna-2.5.2-py3-none-any.whl
- Upload date:
- Size: 56.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/2.2.1 CPython/3.13.9 Darwin/25.1.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
78bcc3ca1d0795d58fa3044f9a4c42968edeafa5f5103d848c14be0e8f0fe02c
|
|
| MD5 |
e4c164489333cb6413d6566a383498a7
|
|
| BLAKE2b-256 |
c81fa8014d7375957093043105c60f600805ca7a965bbf2f6140910cc5a7541e
|