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accelerated_advanced_python_weeks3_4

This repository contains jupyter notebooks for weeks 3 and 4 of Accelerated Computational Biology class. This tutorial will cover advanced NumPy lectures including several algorithms used for data analysis in computational biology

accelerated_intro_to_compbio_part_2

Part 2 of the "Accelerated intro to Computational Biology for Biologists" course for the Master's Programme in Computational Biology, Universidad Politecnica de Madrid. This covers the first 2 weeks (~24 hours) of material, taught by Mark Wilkinson.

accelerated_intro_wilkinsonexams

Exam Questions and instructions for the Accellerated Introduction to Computational Biology M.Sc. course - Wilkinson Section

assignment_answers

assignment_answers_new

bioinfo_programmingchallenges

A BioRuby-based course for the Computational Biology M.Sc. Programme

gdav

Materials for the Computational Master subject `Genomic Data Analysis and Visualization`

google-scholar-perl

Automatically exported from code.google.com/p/google-scholar-perl

introduction_r

jupyter_dock

Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results.

lom_bioinfointro

Introduction to Computational Biology - UPM Master's Course

lom_bioinformaticsprogrammingchallenges

tfm_cnio

Scripts and documents for the systematic identification of context-depending high-order interactions using large-scale cancer genomics.