READ
[R]eporter Ion [E]xtractor and [A]nnotation [D]irector
READ is a python-based tool to orchestrate TMTpro-18plex quantification for [single cell] DIA and DDA searches with Chimerys, Spectronaut, and DIA-NN.
READ supports Thermo RAW files via ThermoRawFileParser or mzML files, maps
identified precursors to their corresponding MS1 and MS2 spectra, and then quantifies PSMs and/or proteins. Quantification is done either natively, via OpenMS (recommended), or
the TMT Resolution GUI Tool [1]. Quantification is additionally quality controlled by optionally several filters including precursor co-isolation purity, reporter ion resolution,
minimum reporter signal, and minimum reporter signal-to-noise. Filtering behavior is easily controlled via a human-readable .toml configuration file.
READ can easily be installed via PyPI and run via the command line. We also provide executables with a graphical user interface for Microsoft Windows which can be downloaded here. In-depth information on how to install and run READ can be found on GitHub.
Documentation
Please refer to https://github.com/hgb-bin-proteomics/READ/ for more information.
Contact
In case of questions please contact:
1 maintainer
Metadata
1 maintainer
Release files for IMP-READ 2026.9.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| imp_read-2026.9.9.tar.gz | 22.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| imp_read-2026.9.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 53.9 kB
Release files / imp_read-2026.9.9.tar.gz
| Download URL | imp_read-2026.9.9.tar.gz |
|---|---|
| Size | 22.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
573d0078dcc3154ad6c15c38631d58960a4ea0c2378de4a944e0f70792a23fc2
|
|
BLAKE2b-256 checksum How to use checksums |
a2b3edfc6fda960e945eea70cc911353341f23b49fa4491b8e536a6bed915b5d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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 Sep 9, 2026.
Transparency logRelease files / imp_read-2026.9.9-py3-none-any.whl
| Download URL | imp_read-2026.9.9-py3-none-any.whl |
|---|---|
| Size | 31.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e8bc8ed2564c43ad1921a83b4f173416cb7ad0f3e6c532748461f152dc589d90
|
|
BLAKE2b-256 checksum How to use checksums |
9251d070ac72af49d412c14cd3b6cafaf436333a6bb164d657702a9455547a7a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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 Sep 9, 2026.
Transparency log
