Simon Anders

Professor

Ruprecht Karls Universität Heidelberg

Germany

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Simon Anders is a Professor at Ruprecht Karls Universität Heidelberg, Germany. His research interests encompass gene perturbation effect prediction, analysis of single-cell bisulfite sequencing data, DNA methylation in astrocytes, and various aspects of cellular development and evolution. Additionally, he has contributed to studies on SARS-CoV-2 surveillance strategies and gene expression across mammalian organ development.

Simon Anders

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Articles (18)

Deep-learning-based gene perturbation effect prediction does not yet outperform simple linear baselines

Correction: Comparison of Four Active SARS-CoV-2 Surveillance Strategies in Representative Population Sample Points: Two-Factor Factorial Randomized Controlled Trial

Analyzing single-cell bisulfite sequencing data with MethSCAn

Simple but powerful interactive data analysis in R with R/LinekdCharts

Lung endothelium exploits susceptible tumor cell states to instruct metastatic latency

DNA methylation controls stemness of astrocytes in health and ischaemia.

Scalable RT‐LAMP‐based SARS‐CoV‐2 testing for infection surveillance with applications in pandemic preparedness

Centrosome linker diversity and its function in centrosome clustering and mitotic spindle formation

Comparison of Four Active SARS-CoV-2 Surveillance Strategies in Representative Population Sample Points: Two-Factor Factorial Randomized Controlled Trial

Scalable RT‐LAMP‐based SARS‐CoV‐2 testing for infection surveillance with applications in pandemic preparedness

Interferon regulates neural stem cell function at all ages by orchestrating mTOR and cell cycle

Interferon regulates neural stem cell function at all ages by orchestrating <scp>mTOR</scp> and cell cycle

Cellular development and evolution of the mammalian cerebellum

Sex-biased gene expression across mammalian organ development and evolution

Proteogenomics refines the molecular classification of chronic lymphocytic leukemia

The S-palmitoylome and DHHC-PAT interactome of Drosophila melanogaster S2R+ cells indicate a high degree of conservation to mammalian palmitoylomes

Analysing high-throughput sequencing data in Python with HTSeq 2.0

Author Correction: A computational method for detection of ligand-binding proteins from dose range thermal proteome profiles

Collaborators (14)

Fabio Zanini

Ioannis Papaioannou

Henrik Kaessmann

SINDHUJA SRIDHARAN

Robert Bruce Russell

M De Allegri

Rozbeh Jafari

Sophie A Herbst

Elmar schiebel

Aurelio Teleman

Michael Knop

Shannon A. McMahon

John E. Pimanda

Mattias Vesterlund

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