Epigenetic Data Analysis (3-days online workshops)

Epigenetic Data Analysis (3-days online workshops)

The course covers key aspects of epigenetic regulation of gene expression, with a primary focus on DNA methylation and histone modifications. Participants will gain a knowledge about high-throughput sequencing-based approaches, including both short-read and long-read technologies, used to investigate these regulatory mechanisms.

The workshop is recommended for individuals with basic command-line skills in Unix-based operating systems (Linux or macOS). A base knowledge of R and RStudio is considered an advantage.

The training is delivered as a live, interactive workshop, enabling real-time communication between participants and the instructor, including opportunities for questions and continuous assessment of learning progress. After the end of the workshop, participants will receive an electronic certificate confirming the completion of the course.

Date: to be arranged with the teacher once the full group has been assembled (minimum of 3 participants), in accordance with participants’ suggestions (3-days online workshop).

Time: 15 hours (5 hours each day with two coffee breaks).

Location: online.

Group: up to 10 persons.

Teacher: Marcin Sajek, Ph.D.

Price: 445 EUR (plus VAT if applicable).

Methods of payment: wire transfer.

Topics:

  • Epigenetic mechanisms of gene expression regulation
  • Methods for DNA methylation analysis
  • Methods for histone modification analysis
  • Other epigenetic regulatory mechanisms and high-throughput tools for their investigation
  • Short-read sequencing (Illumina platforms) in epigenomic and chromatin studies
  • Long-read sequencing using Oxford Nanopore Technologies for epigenomic and epitranscriptomic research
  • Quantitative analysis of modified nucleosides using genomic and transcriptomic approaches and their limitations
  • Integration of epigenomic datasets with other omics data types

Learning Outcomes

After the workshop, participants will:

  1. Demonstrate knowledge of epigenetic regulatory mechanisms.
  2. Understand the advantages and limitations of sequencing-based approaches for studying epigenetic regulation using both short- and long-read technologies.
  3. Recognize data structures, formats, and analytical workflows for Illumina and Oxford Nanopore sequencing.
  4. Identify software tools used for epigenetic data analysis.
  5. Interpret epigenetic results in the context of multi-omics datasets.

Marcin Sajek, Ph.D.

Head of the Bioinformatics Laboratory at the Institute of Human Genetics, Polish Academy of Sciences in Poznań. He gained research experience at German institutions (Laboratory of Biochemistry, University of Bayreuth) and in the United States, including the HHMI Laboratory of RNA Molecular Biology at The Rockefeller University in New York and the Department of Biochemistry and Molecular Genetics, RNA Bioscience Initiative at the University of Colorado School of Medicine in Denver.

His research focuses primarily on epitranscriptomics, epigenetics, and computational RNA biology. He collaborates with institutions such as the University of Colorado, Vanderbilt University, University Medical Center Groningen, and the Institute of Bioorganic Chemistry in Poznań. He is a member of the RNA Society and the Human RNome Project.

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