Leon Deutsch

Head of Bioinformatics

The NU B.V.

Netherlands

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About

Leon Deutsch is the Head of Bioinformatics at The NU B.V. in the Netherlands. His research areas encompass precision sports nutrition, microbiome analysis, and predictive modeling in cancer research. He has contributed to several recent publications focused on integrating omics technologies, kinetic modeling of waste materials, and advancing methodologies for analyzing complex biological data.

Articles (10)

Year:

2024

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2024

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2024

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2024

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2023

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2022

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2022

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2022

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2021

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2021

Collaborators (5)

Blaz Stres

University of Ljubljana

SLOVENIA

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Andrea Maier

University of Amsterdam

NETHERLANDS

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Pavlina Kousi

Laboratory Teaching Assistant

National Technical University of Athens

GREECE

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Laure Verstraeten

Vrije Universiteit Amsterdam

NETHERLANDS

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Tanja Kunej

SLOVENIA

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Leon Deutsch

Research Interests

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Articles (10)

Case specific: Addressing co-digestion of wastewater sludge, cheese whey and cow manure: Kinetic modeling

Towards Precision Sports Nutrition for Endurance Athletes: A Scoping Review of Application of Omics and Wearables Technologies

Predictive modeling of colorectal cancer using exhaustive analysis of microbiome information layers available from public metagenomic data

MetaBakery: a Singularity implementation of bioBakery tools as a skeleton application for efficient HPC deconvolution of microbiome metagenomic sequencing data to machine learning ready information

Personalization matters: the effect of sex in multivitamin-multimineral-based cancer prevention

How Can We Advance Integrative Biology Research in Animal Science in 21st Century? Experience at University of Ljubljana from 2002 to 2022

Urine and Fecal 1H-NMR Metabolomes Differ Significantly between Pre-Term and Full-Term Born Physically Fit Healthy Adult Males

Exercise and Interorgan Communication: Short-Term Exercise Training Blunts Differences in Consecutive Daily Urine 1H-NMR Metabolomic Signatures between Physically Active and Inactive Individuals

General Unified Microbiome Profiling Pipeline (GUMPP) for Large Scale, Streamlined and Reproducible Analysis of Bacterial 16S rRNA Data to Predicted Microbial Metagenomes, Enzymatic Reactions and Metabolic Pathways

The impact of crude glycerol from biodiesel production and its trace element content on biomethane production in a batch experiment: modelling as a step towards impartial routine comparison of results

Collaborators (5)

Blaz Stres

Andrea Maier

Pavlina Kousi

Laure Verstraeten

Tanja Kunej

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