wilber Goto Github PK

150826_pathway_analysis

2014-10-30-utoronto

University of Toronto bootcamp Oct 30-31, 2014

ai-science-training-series

awesome-books

bio4j

Bio4j abstract model and general entry point to the project

bioinformatics-projects

A Collection of Bioinformatics Projects

book-reviews

Reviews of books

booleannet

chip_seq_reads_alignment

Contains commands, mostly one-liners, for analysis/manipulation of short Illumina reads

course_rna-seq2019

data-analysis

Data analysis with R

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

devzone

Material for inclusion in or use at the Araport devzone

discourse-theme

Example to develop a discourse theme using Docker to test, and meta.discourse to design the theme

gal

Genome Annotation Library - A perl toolkit for working with SO compliant genome annotations

genome-annotation

Annotation of the Almond genome using MAKER container

hpcbootcamp_regression

Statistics tutorial for the HPC Bootcamp at NERSC

influenza-virus-di-identification-pipeline

Repo for Chris Brooke's DARPA project

machinelearning

📓 Jupyter Notebook for 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐀-𝐙™: 𝐇𝐚𝐧𝐝𝐬-𝐎𝐧 𝐏𝐲𝐭𝐡𝐨𝐧 & 𝐑 𝐈𝐧 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 [Udemy course]

maker-docker

Docker image as base for building full MAKER image

master-the-tidyverse

Course contents for Master the Tidyverse

microbial-bioinformatics-introductory-course-material-2018

Course material for OPEN & REPRODUCIBLE MICROBIOME DATA ANALYSIS SPRING SCHOOL

msu_ngs2015

DE analysis module for Week3

network-properties-and-graph-sampling

A number of R codes for analysis of topological properties of gene regulatory networks

octave-networks-toolbox

A set of graph/networks analysis functions in Octave

osc-batch-training

osc_container_tutorial

osc_introhpc

pagedown

Paginate the HTML Output of R Markdown with CSS for Print

powerlaw

This package implements both the discrete and continuous maximum likelihood estimators for fitting the power-law distribution to data. Additionally, a goodness-of-fit based approach is used to estimate the lower cutoff for the scaling region.