Create aggregate bioinformatics analysis reports across many samples and tools

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for ewels from gravatar.com ewels

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 (GPLv3) (GPLv3)
  • Author: Phil Ewels
  • Tags bioinformatics, biology, sequencing, NGS, next generation sequencing, quality control
Classifiers

Project description

MultiQC is a tool to aggregate bioinformatics results across many samples into a single report. It is written in Python and contains modules for a large number of common bioinformatics tools.

You can install MultiQC from PyPI as follows:

pip install multiqc

Then it’s just a case of going to your analysis directory and running the script:

multiqc .

MultiQC will scan the specified directory ('.' is the current dir) and produce a report detailing whatever it finds.

The report is created in multiqc_report.html by default. Tab-delimited data files are created in multiqc_data/ to give easy access for downstream processing.

For more detailed instructions, run multiqc -h

See the MultiQC website for documentation and tutorial videos: http://multiqc.info

MultiQC was written by Phil Ewels (http://phil.ewels.co.uk) at Seqera Labs (https://seqera.io/), originally at SciLifeLab Sweden (http://www.scilifelab.se)

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for ewels from gravatar.com ewels

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU General Public License v3 (GPLv3) (GPLv3)
  • Author: Phil Ewels
  • Tags bioinformatics, biology, sequencing, NGS, next generation sequencing, quality control
Classifiers

Release history Release notifications | RSS feed

1.25.2

1.25.1

1.25

1.24.1

1.24

1.23

1.22.3

1.22.2

1.22.1

1.22

1.21

1.20

1.19

1.18

This version

1.17

1.16

1.15

1.14

1.13

1.12

1.11

1.10.1

1.10

1.9

1.8

1.7

1.6

1.5

1.4

1.3

1.2

1.1

1.0

0.9

0.8

0.7

0.6

0.5

0.4

0.3.2

0.3.1

0.3.0

0.2.0

0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

multiqc-1.17.tar.gz (1.1 MB view details)

Uploaded Source

Built Distribution

multiqc-1.17-py3-none-any.whl (1.4 MB view details)

Uploaded Python 3

File details

Details for the file multiqc-1.17.tar.gz.

File metadata

  • Download URL: multiqc-1.17.tar.gz
  • Upload date:
  • Size: 1.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for multiqc-1.17.tar.gz
Algorithm Hash digest
SHA256 3eb2b3a5e4bc4fb4c47baef0deeeacec39bc7a520bd6c20048039a5e659b75db
MD5 2a59277585a3f46836abca099e0e2835
BLAKE2b-256 e90d2fc684e101ec6ce82ea5c1eaad1a0ab202fd08f50bee5847ef9e8168b7ad

See more details on using hashes here.

File details

Details for the file multiqc-1.17-py3-none-any.whl.

File metadata

  • Download URL: multiqc-1.17-py3-none-any.whl
  • Upload date:
  • Size: 1.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for multiqc-1.17-py3-none-any.whl
Algorithm Hash digest
SHA256 ac9d64aec016e1188a1082599037444b3f0d128dd25a8a7fe69f31ccfb410aec
MD5 3a356b33e023b4e4f6b384896e0d803d
BLAKE2b-256 a1a52ee5d2546f04ef6addd930de9b772a6ee32151d4632319cde64aef822d50

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