Skip to main content

CLeaning to Analysis: Reproducibility-based Interface for Traits and Exposures

Project description

CLARITE Logo
Python version PyPI Build status Docs Test coverage License Black

CLeaning to Analysis: Reproducibility-based Interface for Traits and Exposures

Examples

Run an EWAS in a few lines of code

docs/source/_static/code/quick_ewas.png

More realistically, perform some QC first:

docs/source/_static/code/filters.png

Genotype data is supported via Pandas-Genomics

docs/source/_static/code/gwas.png

Installation

In order to use the r_survey regression_kind in the ewas function, R must be installed along with the survey library.

  1. Install R and ensure it is accessible from the command line. You may need to add its location to the PATH environmental variable.

  2. Use install.packages in R to install the survey library.

Questions

If you have any questions not answered by the documentation, feel free to open an Issue.

Citing CLARITE

1. Lucas AM, et al (2019) CLARITE facilitates the quality control and analysis process for EWAS of metabolic-related traits. Frontiers in Genetics: 10, 1240

2. Passero K, et al (2020) Phenome-wide association studies on cardiovascular health and fatty acids considering phenotype quality control practices for epidemiological data. Pacific Symposium on Biocomputing: 25, 659

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

clarite-2.3.6.tar.gz (73.8 kB view details)

Uploaded Source

Built Distribution

clarite-2.3.6-py3-none-any.whl (93.2 kB view details)

Uploaded Python 3

File details

Details for the file clarite-2.3.6.tar.gz.

File metadata

  • Download URL: clarite-2.3.6.tar.gz
  • Upload date:
  • Size: 73.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.2.2 CPython/3.7.12 Darwin/21.3.0

File hashes

Hashes for clarite-2.3.6.tar.gz
Algorithm Hash digest
SHA256 df2c11b10c4665d9af2fa1611c5281b46995c00b83f6d27a87a7c36d298eb82e
MD5 5e27147fba05e513058d2c79e5b9d782
BLAKE2b-256 2b231ddc062b2775c78d2b5efb3abafe367ca2f1adf4e0cf52443bd40e047264

See more details on using hashes here.

File details

Details for the file clarite-2.3.6-py3-none-any.whl.

File metadata

  • Download URL: clarite-2.3.6-py3-none-any.whl
  • Upload date:
  • Size: 93.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.2.2 CPython/3.7.12 Darwin/21.3.0

File hashes

Hashes for clarite-2.3.6-py3-none-any.whl
Algorithm Hash digest
SHA256 78063b1140a9a63e829285d067e9c14f9b4099134f5bf396924c8a6411d6eebf
MD5 108687baf13bf2f083ef36268b80e613
BLAKE2b-256 0d780197c55a7554ce5234cba0af0f362849dfc8369a261dbc5e491ac71fec9a

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