Skip to main content

Documentation Status Github Action status

CGAT Apps

CGAT Apps is a collection of scripts to aid the analysis of high-throughput sequencing data.

After installation, use the cgat command to see how to use them.

Documentation

We are attempting to improve our documentation. However, our current documentation can be found here

For questions, please open a discussion on the GitHub issue page

Installation

Conda Installation

The preferred method to install CGAT Apps is using the installation script, which uses mamba, the fast C implementation of Conda.

To install cgat-apps using mamba::

mamba install -c conda-forge -c bioconda cgat-apps

Developers: try the installation script

Here are the steps::

    # Install conda and mamba according the the documentation. Next
    # install the conda packages for cgat-apps to work
    conda env create -f conda/environments/cgat-apps.yml

    # enable the conda environment
    conda activate cgat-a

    # Install the development version of cgat-apps
    python setup.py develop

    # finally, please run the cgat command-line tool to check the installation:
    cgat --help

The installation script will put everything under the specified location. The aim is to provide a portable installation that does not interfere with the existing software. As a result, you will get a conda environment working with CGAT Apps which can be enabled on demand according to your needs.

Usage

Run the cgat --help command to see what scripts are available and how to use them. For example, to strip sequence and quality information from a bam_ file, type::

cgat bam2bam --strip=sequence < in.bam > out.bam

Metadata

Release files for cgat 0.7.11

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

Source distribution (sdist)

Source distribution for cgat 0.7.11
File Size Uploaded
cgat-0.7.11.tar.gz 424.4 kB Details

Release files / cgat-0.7.11.tar.gz

Download URL cgat-0.7.11.tar.gz
Size 424.4 kB
Tags Source
SHA-256 checksum
How to use checksums
6c893949a57966d84e111b2a655381af56a953046ccb42184ebfe77e3bd958e1
BLAKE2b-256 checksum
How to use checksums
8360e6e8f4c2708430dcfea4357ab5ebeb204044af5ac37426d5b50282f4baee
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.11.15

Release history Release notifications | RSS feed

This release

0.7.11 This release

1 release file

0.7.10

1 release file

0.7.9

1 release file

0.7.3

1 release file

0.7.2

1 release file

0.7.1

1 release file

0.7.0

1 release file

0.6.5

1 release file

0.6.4

1 release file

0.6.3

1 release file

0.6.2

1 release file

0.6.0

1 release file

0.5.6

1 release file

0.5.5

1 release file

0.5.4

1 release file

0.5.3

1 release file

0.5.2

1 release file

0.5.1

1 release file

0.3.3

1 release file

0.3.2

1 release file

0.3.1

1 release file

0.3.0

1 release file

0.2.7

1 release file

0.2.6

1 release file

0.2.5

1 release file

0.2.4

1 release file

0.2.3

1 release file

0.2.2

1 release file

0.2.1

1 release file

0.2.0

1 release file

0.1.9

1 release file

0.1.8

1 release file

0.1.7

1 release file

0.1.6

1 release file

0.1.5

1 release file

0.1.4

1 release file

0.1.3

1 release file

0.1.1

1 release file

0.1

1 release file

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