BOL

This tutorial is intended to introduce users quickly to the basics of R, focusing on a few common tasks that  biologists need to perform  some basic analysis:  load a table, plot some graphs, and perform some basic statistics. More...

R 3.2.0 (codename “Full of Ingredients”) was released yesterday.

microscope.readthedocs.org - Microscope Platform user documentation. The MicroScope platform is available at this URL: https://www.genoscope.cns.fr/agc/microscope

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...

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...

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...

github.com - This is not so much an instructional manual, but rather notes, tables, and examples for Python syntax. It was created by the author as an additional resource during training, meant to be distributed as a physical notebook. Participants (who favor...

github.com - ComplexHeatmap (Gu, Eils, and Schlesner (2016)) is an R Programming Language (R Core Team (2020)) package that is currently listed in the Bioconductor package repository. install and load required packages...

bioinformatics.uconn.edu - This section explains some of the commonly used file formats in bioinformatics. The information provided here is basic and designed to help users to distinguish the difference between different formats. Please refer user manual or other information...

homes.sice.indiana.edu - Machine learning techniques have been successful in analyzing biological data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. In this class, we will learn basics about probabilistic models...