- Docente: Ivan Lanese
- Credits: 10
- SSD: INF/01
- Language: English
- Moduli: Ivan Lanese (Modulo 1) Matteo Manfredi (Modulo 2)
- Teaching Mode: Traditional lectures (Modulo 1) Traditional lectures (Modulo 2)
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Bioinformatics (cod. 8020)
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from Nov 05, 2024 to Dec 18, 2024
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from Jan 07, 2025 to Jan 23, 2025
Learning outcomes
At the end of the course, the student has the knowledge for developing and using tools for sequence and structure analysis of biomolecules and more generally for annotation problems in the genomic era. In particular, the student will be able to independently write programs in Python language. He/she will be also able to discuss the theoretical basis of sequence alignment tools (dynamic programming and heuristic algorithms) and to implement them.
Course contents
How to program in the Python Language; including: variables, expressions and statements, functions, conditionals, iteration, strings, lists, tuples, dictionaries, files, recursion and object-oriented programming. The course also includes a brief introduction to linux and to dynamic programming, pairwise alignment algorithms (local, global and semiglobal).
Readings/Bibliography
No specific book is required. Updated teaching material is available through the Virtuale website.
For further information we suggest:
Cay Horstmann, Rance D. Necaise. Python for Everyone, Wiley
Allen B. Downey. Think Python: How to Think Like a Computer Scientist, O’ Reilly
for the Python programming part.
Teaching methods
Theoretical lessons and practical programming activity in Pyhton under linux.
In relation to the kind of activities and didactical methods adopted,the attendance to this class will require the preliminary participation
of all the students to the Modules 1 and 2 of the Safety rules on study places, which can be followed remotely in e-learning via the following link: https://elearning-sicurezza.unibo.it/
Assessment methods
Written and practical exam based on exercises about Python programming.
Teaching tools
Teaching material will be available on the Virtuale website.
For exercises we will use the linux shell, a text editor/IDE (each student can choose the one (s)he prefers) and the Python interpreter.
Office hours
See the website of Ivan Lanese
See the website of Matteo Manfredi