Bioinformatics Programming
From Biosites.org
Introduction to Bioinformatics Programming: Perl & R for Biologists I
Bioinformatics.Org will be running an on-line version of the well-received, "Introduction to Bioinformatics Programming: Perl & R for Biologists I" (Open Source Bioinformatics for Researchers), which was originally held on-site. Note that this is not a static tutorial but live instruction using interactive "Webinar" software and voice conferencing that will closely replicate the on-site version of the course.
Python Programming for Bioinformatics
In August-September of 2005 I taught an intermediate level programming course at the NBN (National Bioinformatics Network) in South Africa. Here are the various notes and assignments for the course.
546 Programming for Bioinformatics
Northern Illinois University
C# in developing bioinformatics programming object model
Currently most of software tools and programming models were developed with Perl or Java under the Unix system. Millions of Windows programmers are blocked from accessing these programming objects. Do they need to learn Unix and Perl? Many biologist are familiar with the easy-to-use Windows system. Can they spend less time learning Windows solutions? I am exploring the power of the Windows platform and the modern, elegant language C# (a cross platform .Net solution development language) and using them to develop a proper hierarchical object model and analysis tools.
Programming Python for Bioinformatics
The overall aim of this module is to provide the relevant programming techniques for productive work in bioinformatics. The present website covers the Python programming aspects of the module.
Bioinformatics-Tutorials
Bioinformatics Tutorials and Examples directory - Search best Bioinformatics tutorials and resource available on the web. Bioinformatics is the use of IT in biotechnology for the data storage, data warehousing and analyzing the DNA sequences. In Bioinfomatics knowledge of many branches are required like biology, mathematics, computer science, laws of physics & chemistry, and of course sound knowledge of IT to analyze biotech data. Bioinformatics is not limited to the computing data, but in reality it can be used to solve many biological problems and find out how living things works.
