BPB14 Bioinformatics using Python for BiologistsDownloadable poster in PDF |
A Testimonial:
Participating in "Bioinformatics using Python for Biologists" in 2010 has
caused very sharp improvements in my research career. - Tiago Magalhães, PhD, University College Dublin |
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 professional trainer for Python and scientific communication. He likes to develop and test methods that make teaching effective and interesting.
Kristian 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 Adam Mickiewicz University Poznan, Poland. He is a professional SCRUM Master and executive at a Toastmasters speaking club. You can find his profile in
http://www.academis.eu/.
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Course description |
Python is an object-oriented programming language that is ideal for biological
data analysis. The course will start from zero knowledge, and introduce you to
all basic concepts of Python such as calculating, organizing data, reading and
writing files, program logic and writing bigger programs. All examples and
practical sessions will focus on solving biological problems. |
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. |
BookAllegra and Kristian wrote the book "Managing your biological data with Python", published in 2014 by Taylor & Francis. |
Detailed Program |
Instituto Gulbenkian de Ciência, Apartado 14, 2781-901 Oeiras, Portugal Last updated: October 2nd 2014 |