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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_1

Part 1 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 days (~6 hours) of material, taught by Mark Wilkinson.

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

bifurcation_diagrams

Logistic map and bifurcation diagrams in Python and Jupyter

bioinfo_programmingchallenges

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

gemacg_introtobioinformatics

An Introduction to Computational Biology

gitexams

Exams Answers for the Accelerated Introduction to Computational Biology M.Sc. course.

introduction_r

master-s-thesis-

Master's Thesis called "ENVIRONMENTAL ASSOCIATION MODELLING WITH LOCI UNDER SELECTION TO INFER ADAPTIVE THRESHOLDS IN THE HUMAN GENOME" in the basis of a greater project

retos_assignment_solutions

Assignments of Bioinformatics Programming Challenges

tfm

Analysis of the transcriptional network regulated by the TCP transcription factor BRANCHED1