- Docente: Miriam Capri
- Credits: 6
- SSD: MED/04
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Bioinformatics (cod. 8020)
Learning outcomes
At the end of the course, the student has the basic knowledge that gene transcription is intrinsically a dynamic process based on chromatin remodeling and a complex RNAs pool mediating the transcript regulation. In particular, the student will be acquainted with the most up-dated high throughput technologies (microarrays and deep sequencing) from two points of view such as biological and statistics. Data mining and cluster analyses will be acquired by the student.
Course contents
Epigenetics of human genome: basic concepts; DNA methylation and impact on gene expression; long non coding and small RNAs: the role of microRNAs; Microarrays technologies versus next generation sequencing (RNA-Seq). Basic concepts of data mining; cluster analyses (unsupervised methods) and differentially expressed genes. Data set analysis on whole genome DNA methylation and Affy chip transcriptomics; RNA-seq workflow.
Readings/Bibliography
.The most advanced papers and books will be shown during the lessons. A comprehensive text: BIOINFORMATICS FOR HIGH THROUGHPUT SEQUENCING Published by SPRINGER 2012, Editors: Naiara Rodriguez-Ezpeleta; Michael Hackenberg, Ana M. Aransay
Teaching methods
At the end of each lesson the teacher will propose a general discussion on the developed topic eventually by means of recent published articles
Assessment methods
Examination will be performed by the administration of 10 questions in writing version related to the program
Teaching tools
Lesson slides and published papers will be up-loaded in the course web site
Office hours
See the website of Miriam Capri