BIOINFORMATICS mutuato
BIOINFORMATICA
| A.Y. | Credits |
|---|---|
| 2021/2022 | 8 |
| Lecturer | Office hours for students | |
|---|---|---|
| Annamaria Ruzzo |
| Teaching in foreign languages |
|---|
|
Course with optional materials in a foreign language
English
This course is entirely taught in Italian. Study materials can be provided in the 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
The course is aimed to provide information and tools to solve the most bioinformatics classic issues such as consultation of databases available on the web, sequence alignments, molecular evolution, identification and searching of functional patterns, prediction of the protein structure and skills required to analyze genomes and decipher the information contained in them. The course also aims to familiarize students with solutions currently used by assessing potentialities and limits starting from biological problems.
Program
The course will address the following topics at various levels:
-concepts and principles of bioinformatics
-data
-post-genomic era
-databases of nucleic acids, proteins, structures
- derived databases
- the quality of data
-representation of data
-architecture of proteins
-analysis of genomic sequences: concepts and principles
-sequencing of a genome
-searching genes
-statistical methods for finding genes
-artificial neural networks and Hidden Markov Model
-comparative genomics
-evolution of proteins: concepts and principles
-molecular evolution
-alignment of two sequences searching similarity
-matrices for similarity
-PAM and BLOSUM matrices
-penalization of insertions and deletions
-alignment algorithm
-multiple alignments
-adding sequences in an preexisting alignment
-phylogenetic trees
-searching in a database for similarity: concepts and principles
-searching in databases with euristic methods : FASTA and BLAST
-searching with profiles: PSI-BLAST
-analysis of an amino acid sequence: concepts and principles
-searching pattern sequence
-predicting the three-dimensional structure of a protein: principles
-secondary structure and prediction of secondary structures
-stages of the procedure for modeling by homology
-selection of the protein template
-sequence alignment and reliability
-loops
-accuracy of a model for homology
-models built manually and automatically
-methods of fold recognition
-methods based on profiles
-library of fold
-transcriptomics
-proteomics
-structural genomics
Learning Achievements (Dublin Descriptors)
Students will acquire the following skills:
1- learning and discussing topics covered in class
2- proving to be able to solve problems starting from biological data found in the main biological databases and proving to be able to set up experiments in molecular biology according to the acquired data
3- knowing how to search in the literature medical / biological topics and crossing them with the data of databases biological
4- presenting at the oral exam arguments of the course through a written paper (short thesis) in which it is simulated a searching of computational biochemistry chosen by the student
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 course includes classroom exercises on PC, both for the retrieval of biological data and the use of programs that allow nucleotides and amino acids alignment, choice of amplification primers, analysis of protein structures.
Teaching, Attendance, Course Books and Assessment
- Teaching
Lectures and computer exercises
- Attendance
no
- Course books
BIOINFORMATICS: METHODS AND APPLICATIONS: (Genomics, Proteomics and Drug Discovery). Authors: S. C. RASTOGI, NAMITA MENDIRATTA, PARAG RASTOGI (2013)
- Assessment
Oral examination together with an elaborate (thesis) which simulates a searching, in which a large part of the course topics will be addressed from a practical point of view
- Disabilità e DSA
Le studentesse e gli studenti che hanno registrato la certificazione di disabilità o la certificazione di DSA presso l'Ufficio Inclusione e diritto allo studio, possono chiedere di utilizzare le mappe concettuali (per parole chiave) durante la prova di esame.
A tal fine, è necessario inviare le mappe, due settimane prima dell’appello di esame, alla o al docente del corso, che ne verificherà la coerenza con le indicazioni delle linee guida di ateneo e potrà chiederne la modifica.
Additional Information for Non-Attending Students
- Course books
BIOINFORMATICS: METHODS AND APPLICATIONS: (Genomics, Proteomics and Drug Discovery). Authors: S. C. RASTOGI, NAMITA MENDIRATTA, PARAG RASTOGI (2013)
- Assessment
Oral examination integrated with a short elaborate (thesis) which simulates a research of biological data in public databases, where a large part of the course topics will be addressed from a practical point of view
- Disabilità e DSA
Le studentesse e gli studenti che hanno registrato la certificazione di disabilità o la certificazione di DSA presso l'Ufficio Inclusione e diritto allo studio, possono chiedere di utilizzare le mappe concettuali (per parole chiave) durante la prova di esame.
A tal fine, è necessario inviare le mappe, due settimane prima dell’appello di esame, alla o al docente del corso, che ne verificherà la coerenza con le indicazioni delle linee guida di ateneo e potrà chiederne la modifica.
| « back | Last update: 08/09/2021 |
