A Bioscientist's practical training in data analysis
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Program Overview
Program Overview
The program in question is a university course titled IFDM1010 A Bioscientist's practical training in data analysis, offering 1-2 ECTS.
Learning Outcomes
The participants in this program will acquire the skills to perform different types of bioinformatics analyses using R-based pipelines. They will understand the basic principles behind commonly used techniques and recognize the underlying similarities between different methodologies. Additionally, they will learn to evaluate the results and assess their trustworthiness.
Content
The course is structured around hands-on learning through practical exercises. During these sessions, participants will learn to perform various bioinformatics analyses using R-based analysis pipelines. Each practical session is preceded by a lecture explaining the topic at hand, providing students with opportunities to consult with each other and the teachers for assistance. Example topics covered include:
- Introduction to bioinformatics
- Bulk RNA-seq
- scRNA-seq
- Epigenomics
- Proteomics
Qualifications
To participate in this program, familiarity with R is required, for example, through the IFDM1009 R programming for bioinformatics course.
Assessment
The assessment scale for this program is Pass/Fail. The assessment criteria are based on participation in course discussion sessions and work on the analysis pipeline. The evaluation focuses on the effort put into the practical work and the critical evaluation of the end results, rather than achieving an optimal pipeline.
Languages
The program is conducted in English.
Subject
This course falls under the InFLAMES Doctoral Module.
Person in Charge
The persons in charge of this program are Nicholas Booth, Anni Kauko, and Sampo Koivunen.