Bioinformatics and biostatistics

A.Y. 2016/2017
Lesson for
9
Max ECTS
88
Overall hours
Language
Italian
Learning objectives
Introduce the students to the theory and practice of basic bioinformatic and statistical .analyses employed in modern biomolecular research

Course structure and Syllabus

Active edition
Yes
Responsible
Single bench laboratory practical: 32 hours
Lessons: 56 hours
Syllabus
Bioinformatics (6 CFU)
Introduction: definition and aims of Bioinformatics. Genome projects and next-generation sequencing. Gene and genome annotations. A bioinformatic view of the structure of protein-coding genes: exons, introns, promoters, and alternative splicing. The structure of mature eukaryotic mRNAs. Primary and specialized biological databases. Genome browsers. Definition of sequence similarity, homology, orthology, and paralogy. Global and local alignments. Scoring matrices for nucleotide and amino acid sequence alignments (PAM and BLOSUM). BLAST sequence similarity search: algorithm and usage. Multiple sequence alignments. Expression data: microarray and RNA-Seq. Functional gene annotation and gene ontology.

Biostatistics (3 CFU)
Data representation and variable types. Tables, scatterplots and histograms. Mean, median, mode, percentiles. Variance and standard deviation. Definition of probability and conditional probability. Distributions of random variables: normal distribution, hypergeometric distribution, binomial distribution, Poisson distribution. Sampling and sampling distributions. Statistical hypothesis testing: Student's t-test.
Lesson period
First semester
Lesson period
First semester
Assessment methods
Esame
Assessment result
voto verbalizzato in trentesimi
Professor(s)
Reception:
Room S216 - second floor Computer Science Dept.