Skip to main content

pyQTL

pyQTL is a python module for analyzing and visualizing quantitative trait loci (QTL) data.

The following functionalities are provided:

  • qtl.annotation: class for working with gene annotations; includes a GTF parser.
  • qtl.coloc: Python implementation of core functions from the R COLOC package.
  • qtl.io: functions for reading/writing BED and GCT files.
  • qtl.locusplot: functions for generating LocusZoom-style regional association plots.
  • qtl.pileup: functions for visualizing QTL effects in read pileups from, e.g., RNA-seq data.
  • qtl.plot: plotting functions for QTLs.

Install

You can install pyQTL using pip:

pip3 install qtl

or directly from this repository:

$ git clone git@github.com:broadinstitute/pyqtl.git
$ cd pyqtl
# set up virtual environment and install
$ virtualenv venv
$ source venv/bin/activate
(venv)$ pip install -e .

Release files for qtl 0.1.10

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for qtl 0.1.10
File Size Uploaded
qtl-0.1.10.tar.gz 59.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for qtl 0.1.10
File Interpreter ABI Platform
qtl-0.1.10-py3-none-any.whl Python 3 none any Details

Total release size: 123.4 kB

Release files / qtl-0.1.10.tar.gz

Download URL qtl-0.1.10.tar.gz
Size 59.4 kB
Tags Source
SHA-256 checksum
How to use checksums
7de75e407627052ba8b74e60ebeebe0e9e911140c58d2026047f0057642e353c
BLAKE2b-256 checksum
How to use checksums
0a8c368f6fc482ffa5fd5ef5714a183db86a17ec821913e4a15a49a25aeebc49
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.11.9

Release files / qtl-0.1.10-py3-none-any.whl

Download URL qtl-0.1.10-py3-none-any.whl
Size 64.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
04b387c89600ff9d3680969169e8a84549b5a1116972f06acfc80f672b4ef6f7
BLAKE2b-256 checksum
How to use checksums
58cee612d2b57b6f55a1156810b655ef4a683d06338fdb3d65a382464bf6cd22
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.11.9

Release history Release notifications | RSS feed

This release

0.1.10 This release

2 release files

0.1.8

2 release files

0.1.7

2 release files

0.1.6

2 release files

0.1.5

2 release files

0.1.4

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.1

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page