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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

https://insidedna.me/ - InsideDNA makes hundreds of bioinformatics tools immediately available to run via an easy-to-use web interface and allows an accurate search across all functions, tools and pipelines. With InsideDNA, you can upload and store your own...

homer.salk.edu - This tutorial covers topics independently of HOMER, and represents knowledge which is important to know before diving head first into more advanced analysis tools such as HOMER. Setting up your computing environment Retrieving and storing...

www.rstudio.com - Devtools makes package development a breeze: it works with R’s existing conventions for code structure, adding efficient tools to support the cycle of package development. With devtools, developing a package becomes so easy that it will be...

wiki.fysik.dtu.dk - SLURM workload manager software, a free open-source workload manager designed specifically to satisfy the demanding needs of high performance computing. This page is a HOWTO guide for setting up a SLURM installation, currently focused on a CentOS 7...

What are genomic interspersed repeats? In the mid 1960's scientists discovered that many genomes contain stretches of highly repetitive DNA sequences ( see Reassociation Kinetics Experiments, and C-Value Paradox ). These sequences were later...

userweb.eng.gla.ac.uk - The purpose of this tutorial is to introduce students to the frequently used tools for NGS analysis as well as giving experience in writing one-liners. Copy the required files to your current directory, change directory (cd) to the linuxTutorial...

www.homolog.us - These tutorials are written for hundreds of bioinformaticians trying to cope with large volume of next-generation sequencing (NGS) data. NGS technologies brought a dramatic shift in the world of sequencing. Merely five years back, genome sequencing...

The genome assemblers generally take a file of short sequence reads and a file of quality-value as the input. Since the quality-value file for the high throughput short reads is usually highly memory-intensive, only a few assemblers, best suited for...