Skip to main content

IsoGroup - Isotopic Grouping for mass spectrometry labeling experiments

PyPI version PyPI pyversions Documentation Status

What is IsoGroup?

IsoGroup is a scientific software dedicated to the processing of isotopic data from untargeted mass spectrometry (MS) labeling experiments. It is suitable for diverse applications including annotation, isotopic profiling, quantification, and fluxomics experiments. IsoGroup supports two complementary modes of data processing:

  • In targeted mode, IsoGroup performs annotation of isotopic clusters based on a user-provided database of compounds. Mass features (m/z, retention time, intensity) are matched to known metabolites and isotopologues according to their exact mass and retention time. A database of isotopologues specific to the selected tracer is generated and used for the annotation.
  • In untargeted mode, IsoGroup performs clustering by grouping MS features identified as isotopologues into isotopic clusters without prior knowledge, based solely on the features mass differences induced by the tracer element and constrained by the user-defined retention time window.

IsoGroup generates an output file that catalogs all identified isotopic clusters, including the constituent features and their associated m/z values, retention times, intensities, and isotopologue information.

The code is open-source, and available under a GPLv3 license.

Detailed documentation can be found online at Read the Docs (https://isogroup.readthedocs.io/). Check out the Tutorials !

  • Targeted mode: annotate isotopic clusters using a user-provided compound database,
  • Targeted mode: generate a database with isotopologues for a given tracer element and use it for annotation,
  • Targeted mode: calculate exact mass and retention time errors for annotated clusters,
  • Untargeted mode: group MS features into isotopic clusters without prior knowledge,
  • Untargeted mode: provide options to improve isotopologue annotation inside clusters,
  • Untargeted mode: Untargeted mode: provides options to reduce redundancy at both cluster and feature levels, including filtering of features with identical isotopologue indices,
  • Compatible with any tracer element,
  • Handle multiple sample types (unlabeled, fully labeled, Pascal Triangle, etc)
  • Open-source, free and easy to install everywhere where Python 3 and pip run.

Quick-start

IsoGroup requires Python 3.7 or higher and run on all platforms. Please check the documentation for complete installation and usage instructions.

Use pip to install IsoGroup from PyPi:

$ pip install isogroup

IsoGroup is also available directly from command-line and as a Python library.

Bug and feature requests

If you have an idea on how we could improve IsoGroup please submit a new issue to our GitHub issue tracker.

Developers guide

Contributions

Contributions are very welcome! :heart:

Please work on your own fork, follow PEP8 style guide, and make sure you pass all the tests before a pull request.

Local install with pip

In development mode, do a pip install -e /path/to/IsoGroup to install locally the development version.

Build the documentation locally

Build the HTML documentation with:

$ cd doc
$ make html

The PDF documentation can be built locally by replacing html by latexpdf in the command above. You will need a recent latex installation.

Authors

Noémie Butin, Loïc Le Grégam, Pierre Millard, Rochelle Kouakou

Contact

:email: noemie.butin@univ-perp.fr, loic.legregam@unige.ch, millard@insa-toulouse.fr, kouakou@insa-toulouse.fr

Metadata

Release files for IsoGroup 0.3.2

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

Source distribution (sdist)

Source distribution for IsoGroup 0.3.2
File Size Uploaded
isogroup-0.3.2.tar.gz 39.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for IsoGroup 0.3.2
File Interpreter ABI Platform
isogroup-0.3.2-py3-none-any.whl Python 3 none any Details

Total release size: 84.6 kB

Release files / isogroup-0.3.2.tar.gz

Download URL isogroup-0.3.2.tar.gz
Size 39.8 kB
Tags Source
SHA-256 checksum
How to use checksums
67f3d9cb6e3b5c3b5a646c1f2e0a8dc7846ff4cc28fe79cd786e69d9a321271a
BLAKE2b-256 checksum
How to use checksums
5cc1c1b486495f715fb57f9abe5cdc5b5add7b81907eea744b5242b7aa97e01d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Jun 24, 2026.

Transparency log

Release files / isogroup-0.3.2-py3-none-any.whl

Download URL isogroup-0.3.2-py3-none-any.whl
Size 44.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
e1fe8e4b600820c6dffa2b1c2b84e9bde31496cc0c74a7e3789f009f9e168f6d
BLAKE2b-256 checksum
How to use checksums
efa1d5aacc5101e013d3ab1a211070d211441a26efab1aa615cc766eba3d52ee
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Jun 24, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

0.3.2 This release

2 release files

0.3.1

2 release files

0.3.0

2 release files

0.2.0

2 release files

0.1.1

2 release files

0.1

3 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