Skip to main content

Python package for Copy-Number Variation calling

Project description

HMM copy number variation calling

Build Status PyPI version Coffee

This is a Python package for Copy Number Variation detection using an HMM as implemented in ichorCNA.

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

Dependencies can be installed by:

    pip install -r requirements.txt

PyPI install, presuming you have all its requirements installed:

	pip install hmmCNV

Usage

from hmmCNV import hmmCNV

# Call CNVs for bin data
loglik, hmm_results = hmmCNV.hmmCNV(tumour_copy, 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

hmmcnv-1.1.3.tar.gz (251.5 kB view details)

Uploaded Source

Built Distributions

hmmcnv-1.1.3-cp311-cp311-macosx_14_0_x86_64.whl (351.8 kB view details)

Uploaded CPython 3.11 macOS 14.0+ x86-64

hmmcnv-1.1.3-cp310-cp310-macosx_13_0_x86_64.whl (254.7 kB view details)

Uploaded CPython 3.10 macOS 13.0+ x86-64

File details

Details for the file hmmcnv-1.1.3.tar.gz.

File metadata

  • Download URL: hmmcnv-1.1.3.tar.gz
  • Upload date:
  • Size: 251.5 kB
  • 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 hmmcnv-1.1.3.tar.gz
Algorithm Hash digest
SHA256 33bcc1108f753c0b49a6e9a85f9495a1792f1b795077814fcda1c7823b5ff52e
MD5 2509e87fdd4184f6bc2ebd6ac3096f50
BLAKE2b-256 6e05642c25552c9c29ab43fe4b520bef3c413087b8c19871ec14dbacd06e30b8

See more details on using hashes here.

File details

Details for the file hmmcnv-1.1.3-cp311-cp311-macosx_14_0_x86_64.whl.

File metadata

File hashes

Hashes for hmmcnv-1.1.3-cp311-cp311-macosx_14_0_x86_64.whl
Algorithm Hash digest
SHA256 7fd2922236c0d75d3bc0c48b71e492432f510aec36804756d288bad1369e1647
MD5 91d49d35a96b038b5c584dc6b11a9406
BLAKE2b-256 9abacd7d6ac4f16c856d6093ba5956d0846bd525121185fe2a98cd7a87c7cae2

See more details on using hashes here.

File details

Details for the file hmmcnv-1.1.3-cp310-cp310-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for hmmcnv-1.1.3-cp310-cp310-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 62aa987c528b2d522cd700e7a294cb30ed3abb502c270062a72660b7bf7b29bc
MD5 83a63d30a82c6714df4649a194d9be71
BLAKE2b-256 ccbebc35be9e85b4d5e54ea04bd9d84100696514042388f8787211f490b11686

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