DATA-SCIENCE AND MULTI-OMICS ANALYSIS (MOD. 1: FUNDAMENTALS OF BIOINFORMATICS)
DATA-SCIENCE AND MULTI-OMICS ANALYSIS (MOD. 1: FUNDAMENTALS OF BIOINFORMATICS)
| A.Y. | Credits |
|---|---|
| 2024/2025 | 3 |
| Lecturer | Office hours for students | |
|---|---|---|
| Annamaria Ruzzo |
| Teaching in foreign languages |
|---|
|
Course entirely taught in a foreign language
English
This course is entirely taught in a foreign language and the final exam can be taken in the foreign language. |
Assigned to the Degree Course
| Date | Time | Classroom / Location |
|---|
| Date | Time | Classroom / Location |
|---|
Learning Objectives
This is a short course to provide basic information and tools that underlie and are commonly used to solve most of the classical and basic problems in bioinformatics, such as consulting biological databases, alignments, and multi-alignments.
Program
concepts and principles of bioinformatics, matrices for similarity ( PAM and BLOSUM matrices), penalization of insertions and deletions in the alignment, alignment algorithms ( Dot plot, Needleman-Wunsch, Smith-waterman), multi-alignments (Clustal W) , searching in databases with heuristic methods (FASTA and the BLAST family), searching with the profile method in databases (PSI-BLAST)
Learning Achievements (Dublin Descriptors)
Students will acquire the following skills:
1- learn and discuss topics covered in class.
2- demonstrate the ability to solve simple problems from biological data found in major biological databases.
Teaching Material
The teaching material prepared by the lecturer in addition to recommended textbooks (such as for instance slides, lecture notes, exercises, bibliography) and communications from the lecturer specific to the course can be found inside the Moodle platform › blended.uniurb.it
Supporting Activities
The teaching material prepared by the lecturer in addition to recommended textbooks (such as for instance slides, lecture notes, exercises, bibliography) and communications from the lecturer specific to the course
can be found inside the Moodle platform : blended.uniurb.it
Teaching, Attendance, Course Books and Assessment
- Teaching
Frontal teaching and practical examples using the laptop
- Innovative teaching methods
Learning by doing
- Course books
for further study: Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins
A Practical Guide to the Analysis of Genes and Proteins: Andreas D. Baxevanis , Gary Bader, David Wishart
Editor: BLACKWELL PUBL
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