BPB12 Bioinformatics using Python for Biologists |
IMPORTANT DATES for this Course
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Instructors: |
Allegra Via graduated in Theoretical Physics at Sapienza University of Rome and obtained her PhD in Cellular and
Molecular Biology in 2002. Since 1998 she works in Computational Biology and regularly teaches Bioinformatics and Python
Programming
Language to bioinformaticians and biologists. She was Postdoctoral Fellow at the University of Rome 'Tor Vergata' where she
has been Adjunct Professor in 2005-2010. Since the academic year 2010-2011 she teaches at Sapienza University of Rome. She also
gives invited lectures in other universities and in training courses, namely the first edition of the BPB course for GTPB in
2010. Currently she works as researcher in the Biocomputing Group of Sapienza University of Rome headed by Anna Tramontano.
Her main research interests include protein structural bioinformatics and protein function prediction and analysis. Besides her
research activity, she wrote two book chapters related to Internet for Cell and Molecular Biologists. |
Kristian Rother is a bioinformatician, Python developer, and currently works as a freelance trainer for scientists.
He graduated in biochemistry in 2002 and obtained his PhD in biology at the Humboldt University Berlin in 2006. Until 2011, he worked on
RNA 3D modeling at the IIMCB Warsaw and the Adam Mickiewicz University Poznan, Poland. There, he developed scientific software and gave Python classes. |
Course description |
Python is an object-oriented programming language that is ideal for biological data analysis. The course will start with
very basic language concepts and instructions and will cover all the main language aspects, including variables, types, modules,
functions, exceptions, control of flux, input, output, and classes. All the examples and practical sessions will focus on solving
particular biological problems. In particular, examples and practical sessions will cover:
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Target AudienceEnd-users of bioinformatics databases and tools that aim at developing hands-on capabilities for biological data analysis, ie writing their own or adapting somebody else's Python scripts in an autonomous way. |
Course Pre-requisitesBasic familiarity with bioinformatics data resources such as Uniprot/Swiss-Prot, Blast, ENSEMBL, PDB, etc. The course is directed to biologists with little or no programming experience and aims at making them capable to use Python to autonomously manage and analyse biological data. |
Detailed Program |
Instituto Gulbenkian de Ciência, Apartado 14, 2781-901 Oeiras, Portugal Last updated: April 10th 2012 |