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Glossary
Semester (Sem)
1First Semester
2Second Semester
AAnnual course
Educational activities
BIdentifying activities
Language
Course completely offered in italian
Course completely offered in english
--Not available
Innovative teaching
The credits shown next to this symbol indicate the part of the course CFUs provided with Innovative teaching.
These CFUs include:
  • Subject taught jointly with companies or organizations
  • Blended Learning & Flipped Classroom
  • Massive Open Online Courses (MOOC)
  • Soft Skills
Course Details
Context
Academic Year 2015/2016
School School of Industrial and Information Engineering
Name (Master of Science degree)(ord. 270) - MI (481) Computer Science and Engineering
Track T2A - COMPUTER SCIENCE AND ENGINEERING
Programme Year 2

Course Details
ID Code 098895
Course Title INTEGRATION AND COMPUTATIONAL ANALYSIS OF GENOMIC AND PROTEOMIC INFORMATION
Course Type Mono-Disciplinary Course
Credits (CFU / ECTS) 5.0
Semester --
Course Description The course addresses principles, methods, technologies and informatics instruments for the integration and computational analysis of the numerous and heterogeneous biomedical knowledge data available from various distributed sources. The application aim is leveraging on the integrated analysis of the available scattered, noisy and still partial bio-medical-molecular information to increase their global quality and predictive power in support to the biomedical interpretation of the great amount of genomic and proteomic experimental data increasingly produced. Special attention is devoted to the pattern-based similarity search in genomic data and to the bio-terminologies and bio-ontologies used to represent the current bio-medical-molecular knowledge.
Scientific-Disciplinary Sector (SSD)
Educational activities SSD Code SSD Description CFU
B
ING-INF/05
INFORMATION PROCESSING SYSTEMS
5.0

Schedule, add and removeAlphabetical groupProfessorLanguageCourse details
From (included)To (excluded)
--AZZZZMasseroli Marco
manifesti v. 3.1.3 / 3.1.3
Area Servizi ICT
23/10/2019