Advanced Bioinformatics for Biotechnology

A.Y. 2018/2019
6
Max ECTS
48
Overall hours
SSD
BIO/11 INF/01
Language
English
Learning objectives
The course will present some of the most widely used experimental techniques based on next-generation sequencing (NGS). Different state of the art approaches to the bioinformatic analysis of NGS data will be outlined both in theory and in practice. During lab classes, students will apply different bioinformatic tools to selected case studies
Expected learning outcomes
Undefined
Single course

This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.

Course syllabus and organization

Single session

Responsible
Lesson period
Second semester
Course syllabus
- Next generation sequencing in modern biology
- Genetic and epigenetic regulation of transcription
- Chromatin Immunoprecipitation followed by sequencing (ChIP-Seq): genome wide mapping of transcription factor binding and histone modifications.
- ChIP-Seq data analysis: read mapping
- ChIP-Seq data analysis: peak calling for the identification of transcription factor binding sites
- ChIP-Seq data analysis: genome segmentation for the mapping of histone modifications
- ChIP-Seq data post processing: identification of transcription factor binding sites; identification and characterization of target genes.
- Gene expression and transcriptome analysis
- Oligonucleotide microarrays and next generation sequencing of RNAs (RNA-Seq)
- Microarray data analysis: identification of differential expression
- RNA-Seq data analysis: read mapping and assembly, identification of alternative splicing
- RNA-Seq data analysis: computing transcript levels
- RNA-Seq data analysis: identification of differential expression
- Integrated analysis of ChIP- and RNA-Seq data


REFERENCE MATERIAL
Slides, notes and selected articles will be provided


PREREQUISITES AND EXAMINATION PROCEDURES
Written test


TEACHING METHODS
Lectures and lab exercises, where each student will have a personal computer at his/her disposal


LANGUAGE
English


WEB PAGES
http://www.beaconlab.it/advancedbioinfo
BIO/11 - MOLECULAR BIOLOGY
INF/01 - INFORMATICS
Lectures: 48 hours
Professor: Pavesi Giulio
Professor(s)
Reception:
Tuesday or Friday, h. 15.00- 17.00
Via Celoria 26 (Department of Biosciences)/Online