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This repository contains training data for retention time prediction for the identification of metabolites from non-targeted LC-MS based metabolomics

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RepoRT

Note

A new web app has been launched making submission much easier: https://rrt.boeckerlab.uni-jena.de/

RepoRT is a repository dedicated to the collection of training data for the development of new retention time prediction models for the identification of small molecules. It is part of the collaborative project between Prof. Dr. Sebastian Böcker (Friedrich-Schiller-Universität Jena) and Dr. Michael Witting (Helmholtz Zentrum München) fundend by the DFG (Project Number 425789784, DFG GEPRIS).

We are collecting information such as retention time (RT) and chemical structures of small molecules in standardized format. From the input data structures are standardized using the PubChem standardization and molecular fingerprints and chemical descriptors are calculated using rcdk. Classification of molecules is performed using ClassyFire. Additionally, to chemical information on the measured small molecules, metadata on the chromatographic separation is collected, e.g. column, column dimensions, flow rate, gradient, eluents and their exact composition. The exact format is explained here.

We are covering all possible separation modes of liquid chromatograpy (LC), such as Reversed-phase (RP), Hydrophilic iinteraction Liquid Chromatography (HILIC) and others. The plot below show the current coverage of different separation modes and columns.

ToDo: add plot here

Citation

F. Kretschmer, E.-M. Harrieder, M. A. Hoffmann, S. Böcker, and M. Witting, RepoRT: a comprehensive repository for small molecule retention times Nat Methods 21(2):153-155, 2024.

Contributing data

We are welcoming data submissions. Please submit using the web app at https://rrt.boeckerlab.uni-jena.de/

Contributors

The following people and resources contributed training data for this repository.

Collections:

Publications:

People:

  • Serge Rudaz, University of Geneva
  • Eva-Maria Harrieder, Helmholtz Munich
  • Carolin Huber, UFZ
  • Maria Eugenia Monge, CIBION-CONICET
  • Jörg Büscher, Max Plank Institute of Immunobiology and Epigenetics
  • Aneli Kruve, Stockholm University

Notes on usage

On October 24, 2023 Git LFS was disabled for the majority of the contents of RepoRT for better traceability of changes. If you still have a version of RepoRT from before that date, it might be necessary to "force-pull" the repository. Alternatively, simply clone/download the repository again, if experiencing difficulties. A mapping from old to new commit hashes is available here.

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This repository contains training data for retention time prediction for the identification of metabolites from non-targeted LC-MS based metabolomics

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