FW: Course Application - Python 101:By biologists for biologists

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Sofia Seabra

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Mar 21, 2012, 6:38:56 AM3/21/12
to Biologia Evolutiva em Portugal
Title: Python 101: By biologists for biologists

Instructors: Bruno Vieira, Diogo N Silva, Francisco Pina-Martins

Date: May 28 – June 1, 2012

Location: Faculdade de Ciências da Universidade de Lisboa

Application deadline: May 21, 2012

Website: http://cobig2.fc.ul.pt/python101

Abstract: In the current scientific environment, acquiring a solid skill set in bioinformatics is something that any researcher in biological sciences is likely to need at some point. With the advent of Next-Generation sequencing and the evolution of high-throughput technologies, this need will continue to grow as the processing and analysis of large amounts of data requires automated tools to make sense of the results. Python is an opensource, interactive and powerful programming language that will answer to most of these needs by empowering users with the ability to develop tools that are tailored for their needs, from simple and quick scripts to large pipelines and applications. These features coupled with python's smooth learning curve make it one of the most popular programming languages in the field of bioinformatics. Whatever you require, python will provide a solution that significantly reduces workload and may enable the accomplishment of previously unreachable objectives or deadlines. This course aims to provide an introduction to the basics of python programming and lay a solid foundation for further and independent learning.

Attendees can expect an intensive hands-on training experience that will allow:

* The identification of some of the best ways in which python programming can improve their research/work;

* A basic understanding of how pre-existent python scripts work their “magic”;

* The development of their own simple scripts.

It is widely known that learning Python can dramatically reduce the workload of biological researchers while improving their results. Come and find out why and how!


Questions? Email: octavi...@fc.ul.pt


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Diogo N Silva, PhD candidate

Computational and Population Genomics group (CoBiG2), Environmental Biology Center (CBA), University of Lisbon

Coffee Rusts Research Center (CIFC), Tropical Scientific Research Center (IICT), Lisbon.

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