Christoph Steinbeck

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Christoph Steinbeck is Professor for Analytical Chemistry, Cheminformatics and Chemometrics at the Friedrich-Schiller-University in Jena, Germany His group’s research is dedicated to natural products research, the elucidation of metabolomes by means of computer-assisted structure elucidation and other prediction methods, the reconstruction of metabolic networks and algorithm development in cheminformatics. They further help developing a number of the leading open source software packages in Chemo- and Bioinformatics, including the Chemistry Development Kit (CDK), which was co-founded by Christoph Steinbeck. Christoph Steinbeck was founding editor-in-chief of the Journal of Cheminformatics.

metabolomics phenomenal databases analytical chemistry nmr cloud computing data sharing food bioinformatics metabolomes species cheminformatics big data fair data computer-assisted structure elucidation repositories eosc european open science cloud infrastructures data standards risk assessment metabolights metabolomexchange chemistry multi-omics exposome phenotypes medicine model organisms elixir cdk molecular informatics phenotyping clinical data horizon2020 open data ethics privacy

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Christoph Steinbeck

Publication of raw and curated NMR spectroscopic data for organic molecules

Developments in Metabolomics leading to PhenoMeNal

Computer-Assisted Structure Elucidation (CloudMet 2017)

Building a Model Organism Metabolome Database

PhenoMeNal: Large scale computing with medical metabolic phenotyping data

Developing an Efficient Infrastruture, Standards and Data-Flow for Metabolomics

Building an efficient infrastructure, standards and data flow for metabolomics

World-wide data exchange in metabolomics, Wageningen, October 2016

Skolnik symposium ACS Meeting Philadelphia 2016

Multi-Omics Bioinformatics across Application Domains

The time is right to focus on a model organism database

PhenoMeNal presentation at STFC-ELIXIR Meeting Hinxon

16 years of the Chemistry Development Kit (CDK)

Large Scale computing with medical metabolic phenotyping data

Sharing data from clinical and medical research