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2017_spring_bioinfo_class

awesome-deepbio

A curated list of awesome deep learning applications in the field of computational biology

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

cnnpromoterdata

Data files of promoter and non-promoter sequences used to build CNN models

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

dap-seq-pipeline

TF-DNA-binding assay analysis pipeline

data_cleaning

datasciencecoursera

This is for the class

datasharing

The Leek group guide to data sharing

deeplearning-biology

A list of deep learning implementations in biology

dinar

Differential Network Analysis in R

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

exploratory_data

This repo contains an R script, codebook and readme file to clean and average the mean and standard deviation from the to Analyze Human Activity Recognition Using Smartphones dataset:

git_practice

lasagne4bio

machine_learning_project

numerical-linear-algebra

This course contains the notebooks for the Numerical Linear Algebra elective in USF's MSAN program, summer 2017

pico_galaxy

Galaxy tools and wrappers for sequence analysis

pkg-dev-tutorial

Package Development tutorial for useR! 2019 Toulouse

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pymsa

Some Python routines to work with Multiple Sequence Alignments (MSA)

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

shiny_app

statements

Research Statements and Grants in Evolution/Ecology

test_repo

This is a test

visjs2jupyter

visJS2jupyter is a tool to bring the interactivity of networks created with vis.js into jupyter notebook cells