Skip to main content

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:

Download files

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

Source Distribution

imp_read-2026.8.24.tar.gz (22.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

imp_read-2026.8.24-py3-none-any.whl (31.0 kB view details)

Uploaded Python 3

File details

Details for the file imp_read-2026.8.24.tar.gz.

File metadata

  • Download URL: imp_read-2026.8.24.tar.gz
  • Upload date:
  • Size: 22.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for imp_read-2026.8.24.tar.gz
Algorithm Hash digest
SHA256 f92f70c492e8e3d1814d022761498b02542b483e2ef546e47bfc1a06881efd43
MD5 312174435df3f2a2f856de373f64ba2a
BLAKE2b-256 89fc3e33928e77abd825e914017b1bc82a4bd5f141223e2910dfd7779d43f7fb

See more details on using hashes here.

Provenance

The following attestation bundles were made for imp_read-2026.8.24.tar.gz:

Publisher: publish.yml on hgb-bin-proteomics/READ

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file imp_read-2026.8.24-py3-none-any.whl.

File metadata

  • Download URL: imp_read-2026.8.24-py3-none-any.whl
  • Upload date:
  • Size: 31.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for imp_read-2026.8.24-py3-none-any.whl
Algorithm Hash digest
SHA256 836415cb36183e11888825e1b726c20e3605cab63d1f80ad3c19993264800ce5
MD5 5ab50c726a8f93a483c901e249a6d7ac
BLAKE2b-256 8d0e2ccb5c2f9ea9f4179ddc2351b9a15cd8486ec7fa800bfff65c54fe7fffd2

See more details on using hashes here.

Provenance

The following attestation bundles were made for imp_read-2026.8.24-py3-none-any.whl:

Publisher: publish.yml on hgb-bin-proteomics/READ

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

This release

2026.8.24 This release

2 files

2026.8.21

2 files

2026.8.20

2 files

2026.8.17

2 files

2026.8.16

2 files

2025.9.18

2 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