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News: Epigenomics Data Analysis

Dear all, We are excited to announce our upcoming online course: "Epigenomics Data Analysis", taking place from April 14-18.


This course is designed for biologists and bioinformaticians who want to develop practical skills in analyzing RNA-seq, ChIP-seq, ATAC-seq, MNase-seq, and Hi-C data. Participants will work with real-world datasets and gain hands-on experience using command-line tools and R/Bioconductor.


Course website: https://www.physalia-courses.org/courses-workshops/course59b/


Course objectives:

  • Understand the principles and experimental designs behind key genomic assays.
  • Perform data preprocessing, alignment, and quality control for RNA-seq, ATAC-seq, ChIP-seq, and Hi-C datasets.

  • Conduct downstream analyses, including differential expression, peak calling, motif analysis, and interaction visualization.

  • Integrate multiple genomic data types to extract meaningful biological insights.


If you’re looking to strengthen your data analysis skills and apply them to real research challenges, this course will provide a strong foundation.


For a full list of our courses and workshops, please visit: https://www.physalia-courses.org/courses-workshops/

epigenomics rna-seq atac-seq chip-seq hi-c

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