web.mit.edu - The following is a step-by-step guide to creating your own R package. Even beyond this course, youmay find this useful for storing functions you create for your own research or for editing existingR packages to suit your needs.
This guide...
github.com - The PheWAS R package is designed to provide an accessible interface to the phenome wide association study. For a description of the methods available and some simple examples, please see the package vignette or the R documentation. For...
www.phytools.org - R phylogenetics is built on the contributed packages for phylogenetics in R, and there are many such packages. Let's begin today by installing a few critical packages, such as ape, phangorn, phytools, and geiger. To get the most recent CRAN version...
rpubs.com - An R package for performing principal component analysis (PCA) of genomics data. The package performs PCA, generates the publication-ready plots, and identifies population-specific outlier individuals. The package can be accessed on...
Problem at http://rosalind.info/problems/1c/
#Find all occurrences of a pattern in a string.#Given: Strings Pattern and Genome.#Return: All starting positions in Genome where Pattern appears as a substring. Use 0-based indexing.use strict;use...
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...
engr.case.edu - In this report we provide an overview of known techniques for discovery of patterns of biological sequences (DNA and proteins). We also provide biological motivation, and methods of biological verification of such patterns. Finally we list publicly...
Python Programming is a general purpose programming language that is open source, flexible, powerful and easy to use. One of the most important features of python is its rich set of utilities and libraries for data processing and analytics...
github.com - Automatic Filtering, Trimming, Error Removing and Quality Control for fastq dataAfterQC can simply go through all fastq files in a folder and then output three folders: good, bad and QC folders, which contains good...
