Christoph Steinbeck

This study uses metabolomics and transcriptomics to analyze interactions between two marine microalgae in mono-cultures and co-cultures, revealing metabolic communication and cellular repair mechanisms.

MAW automates metabolome annotation using LC-MS2 data by integrating spectral databases and tools, improving candidate ranking and reproducibility.

The paper introduces the LOTUS initiative, which curates and shares 750,000+ structure-organism pairs via Wikidata to improve data interoperability and knowledge management in natural products research.

The paper introduces the ISA API, a Python library for handling ISA-Tab and ISA-JSON metadata formats, enabling programmatic manipulation and interoperability in life science experiments.

The paper describes and analyzes glycosidic residues in the COCONUT database, highlighting their diversity and importance in drug discovery.

The paper introduces a microservices-based framework for scalable data analysis, validated in metabolomics, enabling dynamic scaling and integration of software tools.

PhenoMeNal provides a cloud-based platform for metabolomics data analysis, integrating tools and workflows to enable reproducible and scalable research.

The paper introduces the Omics Discovery Index, a platform to search and link public omics datasets across different fields, addressing challenges in data organization and accessibility.