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Integrative Cellular Biology and Bioinformatics

Müller lab @ Saarland University

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    • Bioinformatik & Statistik (SoSe 2025)
    • Computational Methods for Epigenome Analysis (SoSe 2025)
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  • News
  • Research
  • Teaching
    • Bioinformatik & Statistik (SoSe 2025)
    • Computational Methods for Epigenome Analysis (SoSe 2025)
  • Publications
  • Software
    • ChrAccR
    • RnBeads
  • People
  • Join Us

  • Contact

News

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  • Teaching: Computational Methods for Epigenome Analysis (2025)May 9, 2025

    We will be teaching workshop (special lecture in bioinformatics (5 CPs)) on the practical analysis of epigenome data. WIn this workshop you will gather hands-on exprience in the analysis of sequencing data for profiling gene expression, DNA methylation, histone modifications and chromatin accessibility. More details can be found on the lecture website.

  • Teaching: Single-Cell BioinformaticsSeptember 24, 2024

    We will be teaching a special lecture in bioinformatics (9 CPs) on the hot topic of computational methods for single-cell analyses. We will be covering methods and topics from the fields of single-cell transcriptomics, genomics, and epigenomics. Together with the Thomas Hentrich and Fabian Kern we are offering the lecture “Single-cell Bioinformatics”. More details can be found on the lecture website.

  • Job OpportunitySeptember 4, 2024

    Interested in a PhD or post-doc in bioinformatics? Eager to engage in cutting-edge research in computational epigenomics in a starting lab at Saarland University? Check out this opportunity!

    Job posting (English)
    Stellenausschreibung (deutsch)

  • Functional Epigenomics ConferenceFebruary 15, 2024

    We are excited to be part of the organizing team for the “Functional Epigenomics Conference” (May 27-28, 2024) in Saarbrücken. Registration and Details can be found on the conference website.

  • Paper: Single-cell transcriptomic landscape of the developing human spinal cordApril 25, 2023

    Excited to share this article describing the single-cell transcriptional landscape of the developing human spinal cord. Great work led by Jimena Andersen and Nick Thom in the Pasca lab with bioinformatic support from our lab.

    https://t.co/U3CLDBWVe6

    https://t.co/MIzkkNMPJk (open access)

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