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Robrecht Cannoodt

Researcher Next ID · RN-021512

Researcher · Biochemistry, Genetics and Molecular Biology

HOGENT University of Applied Sciences and Arts

Ghent, Kenya

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Not currently recruitingFunding unknown
Works count
129
Citation count
6,802
H-index
23
i10-index
29

Research interests

Biochemistry, Genetics and Molecular Biology
Computer Science
Single-cell and spatial transcriptomics
Gene Regulatory Network Analysis
Bioinformatics and Genomic Networks
Gene expression and cancer classification
Data Analysis with R

Publications

  • Spearheading future omics analyses using dyngen, a multi-modal simulator of single cells

    Nature Communications · 2021 · 10.1038/s41467-021-24152-2

  • The RNA Atlas expands the catalog of human non-coding RNAs

    Nature Biotechnology · 2021 · https://doi.org/10.1038/s41587-021-00936-1

  • A sandbox for prediction and integration of DNA, RNA, and proteins in single cells

    Ghent University Academic Bibliography (Ghent University) · 2021

  • A scalable SCENIC workflow for single-cell gene regulatory network analysis

    Nature Protocols · 2020 · https://doi.org/10.1038/s41596-020-0336-2

  • Trajectory-based differential expression analysis for single-cell sequencing data

    Nature Communications · 2020 · https://doi.org/10.1038/s41467-020-14766-3

  • Essential guidelines for computational method benchmarking

    Zurich Open Repository and Archive (University of Zurich) · 2019 · https://doi.org/10.1186/s13059-019-1738-8

  • A comparison of single-cell trajectory inference methods

    Nature Biotechnology · 2019 · https://doi.org/10.1038/s41587-019-0071-9

  • The Transcription Factor ZEB2 Is Required to Maintain the Tissue-Specific Identities of Macrophages

    Immunity · 2018 · 10.1016/j.immuni.2018.07.004

  • A comprehensive evaluation of module detection methods for gene expression data

    Nature Communications · 2018 · 10.1038/s41467-018-03424-4

  • A comparison of single-cell trajectory inference methods: towards more accurate and robust tools

    bioRxiv (Cold Spring Harbor Laboratory) · 2018 · 10.1101/276907

  • Genomic Amplifications and Distal 6q Loss: Novel Markers for Poor Survival in High-risk Neuroblastoma Patients

    JNCI Journal of the National Cancer Institute · 2018 · 10.1093/jnci/djy022

  • SCORPIUS improves trajectory inference and identifies novel modules in dendritic cell development

    bioRxiv (Cold Spring Harbor Laboratory) · 2016 · https://doi.org/10.1101/079509

  • Computational methods for trajectory inference from single‐cell transcriptomics

    European Journal of Immunology · 2016 · https://doi.org/10.1002/eji.201646347

Current projects

    No projects listed.