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B029077 - BIOINFORMATIC ANALYSIS OF BIOLOGICAL PROCESSES
Main information
Teaching Language
Course Content
Suggested readings
Learning Objectives
Prerequisites
Teaching Methods
Further information
Type of Assessment
Course program
Academic Year 2019-20
Coorte 2019 - Second Cycle Degree in MOLECULAR BIOTECHNOLOGIES
Course year
First year - First Semester
Belonging Department
Chemistry "Ugo Schiff"
Course Type
Single education field course
Scientific Area
BIO/11 - MOLECULAR BIOLOGY
Credits
6
Teaching Hours
60
Teaching Term
16/09/2019 ⇒ 20/12/2019
Attendance required
No
Type of Evaluation
Final Grade
Course Content
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Course program
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Lectureship
Teaching Language
Italian
Course Content
Functional analysis of high-throughput data.
Integration systems. Genomic, metabolomic, trascriptomic, proteomic and metabolomic Applications. Univariate and multivariate applied statistics. Metabolic and regulatory pathway analysis. Functional network.
Integration systems. Genomic, metabolomic, trascriptomic, proteomic and metabolomic Applications. Univariate and multivariate applied statistics. Metabolic and regulatory pathway analysis. Functional network.
Suggested readings (Search our library's catalogue)
Alberts et al. BIOLOGIA MOLECOLARE DELLA CELLULA Zanichelli
Citterich et al. FONDAMENTI DI BIOINFORMATICA - Zanichelli
Integrating material supplied by the teacher
Citterich et al. FONDAMENTI DI BIOINFORMATICA - Zanichelli
Integrating material supplied by the teacher
Learning Objectives
Knolewdge acquired:
The course offers a deep knowledge of properties and functions of the main biomolecules that mediates several basic biologic processes, as well as the main techniques for their measureme,ts from an -omics point of view. It further offers the correct perspective for the bioinformatic investigation of system-level processes using modern methods and techniques.
Competence acquired:
The student will learn the appropriate methodologies and approaches for the study of biological processes. It will also learn the usage of bioinformatics for data collection and integration.
Skills acquired:
Use of bioinformatic tools to mine and investigate signalling and metabolic pathways.
Knowledge of important bioprocesses in different organisms.
The course offers a deep knowledge of properties and functions of the main biomolecules that mediates several basic biologic processes, as well as the main techniques for their measureme,ts from an -omics point of view. It further offers the correct perspective for the bioinformatic investigation of system-level processes using modern methods and techniques.
Competence acquired:
The student will learn the appropriate methodologies and approaches for the study of biological processes. It will also learn the usage of bioinformatics for data collection and integration.
Skills acquired:
Use of bioinformatic tools to mine and investigate signalling and metabolic pathways.
Knowledge of important bioprocesses in different organisms.
Prerequisites
Knowledge of biochemistry,
molecular biology and cell biology
molecular biology and cell biology
Teaching Methods
CFU: 6
Course total hours: 60
Theoretical lessons: 24 h
Applicative lessons: 12 h
Lab (computer): 24 h
Course total hours: 60
Theoretical lessons: 24 h
Applicative lessons: 12 h
Lab (computer): 24 h
Further information
The attendance of frontal lessons is strongly suggested. In the lab part (compulsory attendance 75%), portions of the themes proposed during the frontal lessons will be coded and, as examples, student’s selected datasets will be analyzed.
The course will be held primarily in the informatics labs of the Sesto Fiorentino campus. The labs are equipped with PC sufficient for all participating students, that will be able to face the proposed topic in a personal and individual way.
The course will be held primarily in the informatics labs of the Sesto Fiorentino campus. The labs are equipped with PC sufficient for all participating students, that will be able to face the proposed topic in a personal and individual way.
Type of Assessment
The exam will be based on an oral colloquium aimed at verifying the knowledge of the topics presented during the course as well as to assess the ability of the student to apply such knowledge to practical and experimental problems.
Mid-term examination is not foreseen, but self-evaluation questionnaires will be distributed (that will NOT be evaluated).
Mid-term examination is not foreseen, but self-evaluation questionnaires will be distributed (that will NOT be evaluated).
Course program
Functional analysis of high-throughput data. Biostatistics (univariate and multivariate). Integration systems (genes, transcripts, proteins, metabolites). Genomic, metabolomic, trascriptomic, proteomic and metabolomic Applications. Metabolic and regulatory pathway analysis. Over Representation Analysis. Functional Class Scoring. Topology analysis. Metabolic reconstruction, biomodels and flux analysis.