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Course unit
BIOINFORMATICS AND COMPUTATIONAL BIOLOGY
SCP7079317, A.A. 2017/18

Information on the course unit
Degree course Second cycle degree in
DATA SCIENCE
SC2377, Regulation 2017/18, A.Y. 2017/18
1160977
Number of ECTS credits allocated 6.0
Course unit English denomination BIOINFORMATICS AND COMPUTATIONAL BIOLOGY
Website of the academic structure http://datascience.scienze.unipd.it/2017/laurea_magistrale
Department of reference Department of Mathematics
Mandatory attendance No
Language of instruction English
Campus PADOVA

Lecturers
Teacher in charge SILVIO TOSATTO BIO/10

Mutuating
Course unit code Course unit name Teacher in charge Degree course code
MEP5070877 BIOINFORMATICS AND COMPUTATIONAL BIOLOGY SILVIO TOSATTO ME2193

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Educational activities in elective or integrative disciplines BIO/10 Biochemistry 6.0

Mode of delivery (when and how)
Period Second semester
Year 1st Year
Teaching methods frontal

Organisation of didactics
Type of hours Credits Hours of
teaching
Hours Individual
study
Shifts
Lecture 6.0 48 102.0 No turn

Calendar
Start of activities 26/02/2018
End of activities 01/06/2018

Examination board
Examination board not defined

Syllabus
Prerequisites: Basic knowledge of bioinformatics, e.g. alignment methods and databases.
Target skills and knowledge: The course aims to comunicate bioinformatics methods for protein analysis. Moreover, it intends to allow the student to learn how to perform advanced computational research using available bioinformatics tools.
Examination methods: The exam is composed of four parts, each of which has to be passed: (weight in parenthesis)
1) Practicals (25%)
2) Journal club presentation (25%)
3) Final essay on an unknown protein (25%)
4) Oral exam (25%)
Assessment criteria: The following criteria are evaluated:
1) understanding of concepts and algorithms presented in class
2) ability to apply the concepts described in the lesson on real problems
3) critical capacity to be able to use the methods in the most appropriate, choosing from alternatives
4) display capacity and critical discussion during the journal club
Course unit contents: 1) Evolutionary reletationship between protein structure / function / interactions
2) Folding and evolution theories of proteins
3) Prediction of 3D structure by homology and ab initio methods; The CASP experiment
4) Prediction of structural features
5) Prediction of protein function; The CAFA experiment
6) Interactions between proteins
7) Concepts of Network Biology
8) Genotype-phenotype correlation and proteins; The CAGI experiment.
Planned learning activities and teaching methods: The course consists of lectures, practical computer exercises and journal clubs. The exercises are to be carried out according to the instructions provided and complemented by the study of a different bioinformatics problem for each group. The journal club is divided into presentations of articles of recent literature.
Additional notes about suggested reading: The E-learning site will provide numerous course materials. These include the slides, podcasts, lecture notes and journal club bibliography.
Textbooks (and optional supplementary readings)
  • J. Gu, P.E. Bourne (Ed.), Structural Bioinformatics. --: Wiley, 2009. seconda edizione Cerca nel catalogo