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Advanced course: Disciplinary training - Computational Genomics and Epigenomics - how to interpret expression data May 12, 26, June 9, 16
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Advanced course: Disciplinary training - Computational Genomics and Epigenomics - how to interpret expression data
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Academic year 2020/2021
- Teacher
- Paolo Provero (Lecturer)
- Year
- 1° anno, 2° anno
- Teaching period
- Secondo semestre
- Type
- indirizzo Neuroscienze Sperimentali
- Language
- Inglese
- Prerequisites
- Prerequisites:
- elementary statistics (descriptive statistics, estimation, hypothesis testing, linear regression)
- R language at elementary level (to be discussed with the teacher Prof Paolo Provero) - Oggetto:
Sommario del corso
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Course objectives
The course aims to introduce the students to omic data, with particular focus on transcriptomics and ChIP-seq data, and to the principles of their statistical analysis and biologicla interpretation
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Results of learning outcomes
- understanding omic data and the main techniques fo their analysis
- understanding how to extract biological information from omic data
- ability to perform simple analyses of transcriptomic data (class comparison, class discovery, enrichment analysis)
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Program
- Introduction to omics
- Analysis of gene expression data: class comparison
- Analysis of gene expression data: class discovery
- Functional enrichment analysis
- Analysis of ChIP-seq data
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Course delivery
Lectures and practical sessions in computer room
Lectures scheduled on:
May 12, 26, 3-5pm
June 9, 16, 3-5pm
Practical activities will be planned in September
Suggested readings and bibliography
- Enroll
- Open
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