• Job Opportunity

    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)

  • Teaching: Computational Methods for Epigenome Analysis (2022)

    We will be teaching workshop (special lecture in bioinformatics (4 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.

  • New Preprint: Landscape of human spinal cord cell type diversity at midgestation

    New work led by Jimena Andersen and Nick Thom at Sergiu Pasca’s lab in Stanford uncovers the diverse landscape of the developing human spinal cord and a surprisingly early diversification of motor neurons. Our lab was involved in guiding and performing bioinformatics analysis.

    Read more:

  • Teaching: Single-Cell Bioinformatics

    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 coving methods and topics from the fields of single-cell transcriptomics, genomics, and epigenomics. Together with the Keller lab we are offering the lecture “Single-cell Bioinformatics”. More details can be found on the lecture website.

  • New paper: Chromatin and gene-regulatory dynamics of the developing human cerebral cortex at single-cell resolution

    Excited to share our recent work on the chromatin and transcriptional landscapes in the developing human brain. Fantastic collaboration with the amazing Alexandro Trevino, Jimena Andersen and Laksshman Sundaram in the Pasca and Greenleaf labs at Stanford.

    In this work we dissected how chromatin-based gene regulation gives rise to different cortical cell lineages and identify associated transcription factor signatures. We also link mutations associated with autism spectrum disorders with these regulatory patterns and prioritize disease relevance using deep learning.

    You can find the article here (Abstract; contact us for free full text if interested):

    Single-cell transcription and chromatin landscapes of human cortical development