Available courses

This is a dedicated place for common issues regarding the Biodata Analysis PgCert Program jpintly organized by HiDucator and Pázmány Péter Catholic University.

General information, general forum, and non-course specific video sessions are available here.

The purpose of this course is to teach how the R statistical environment can be applied for biological data analysis.

  • Introduction to R: Installation, package management, basic operations
  • Sequences and sequence analysis 
  • Annotating gene groups: Ontologies, pathways, enrichment analysis 
  • Proteomics: mass spectometry 
  • Reconstructing gene regulation networks 
  • Network analysis: iGraph

Recommended reading

  • Ortutay & Ortutay (2017): Molecular Data Analysis Using R. ISBN: 978-1-119-16502-6. , Wiley-Blackwell

An application oriented course focusing on how statistical methods can be used to address common problems in the analysis of results from molecular biology experiments.

  • Comparing simple groups: hypothesis testing
  • Multiple groups: ANOVA and related concepts
  • Hypothesis testing in complex experimental settings: Randomized complete block design
  • Dose and response: regression models
  • Handling low sample sizes with General Linear Models
  • Planning optimal sample sizes: how many animal do I need?

Recommended reading

  • Aho Ken A. (2014) Foundational and applied statistics for biologists using R. CRC press

Programming for beginners, using the Python langauge:

  • Concepts in programming, fundamentals of algorithms
  • Basic variable types & data structures
  • Program organization, loops and conditional statements
  • Basics of file input/output
  • Parsing text files
  • Basics of NumPy, Pandas modules
Recommended reading

  • Lutz, M (2011): Programming Python. O’Reilly


Site announcements

(No announcements have been posted yet.)