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Solved with perl http://rosalind.info/problems/1a/ #Find the most frequent k-mers in a string.#Given: A DNA string Text and an integer k.#Return: All most frequent k-mers in Text (in any order).use strict;use warnings;my...

The question at http://rosalind.info/problems/1d/ Script are moved to http://bioinformaticsonline.com/snippets/view/34633/clump-finding-problem-solved-with-perl

scikit-learn.org - Machine Learning in Python Simple and efficient tools for data mining and data analysis Accessible to everybody, and reusable in various contexts Built on NumPy, SciPy, and matplotlib Open source, commercially usable - BSD license More...

ICRISAT is a non-profit, non-political organization that conducts agricultural research for development in Asia and sub-Saharan Africa with a wide array of partners throughout the world. Covering 6.5 million square kilometers of land in 55...

Here is a small tutorial on how to make best use of multiple processors for bioinformatics analysis. One best way is using perl threads and forks. Knowing how these threads and forks work is very important before implementing them. Getting to know...

How to format the database for BLAST, run the command, view the output file, and use BioPerl and Perl to parse the output. By David Francis, Ohio State University. Delivered live at the Tomato Disease Workshop 2010. For more information, please...

Research Associate Bioinformatics in IISc Recruitment 2020 Essential Qualifications: Ph.D. (Bioinformatics/ Biophysics/ Biotechnology or any other stream of biological/ physical sciences) with a minimum of two publications in reputed peer...

Registrations are now open for the 2019 Summer Bioinformatics Training program at Amity University, Kolkata.

Don't be silly, you can't install David Brownlee ;-)

code.google.com - Perl module for creating geographic 10km-square maps using either SVG or PNG (with GD library) output format. Originally design to map the location of objects in a 10 km map IrishGrid includes: native support of the Irish Grid System (see...