Brett Vanderwerff's repositories
Flaskerizer
Automatically create Flask apps from Bootstrap templates
Reddit-Guestbook
A SQL and Docker powered guest book
flask_blackjack
A websocket based real-time card game built using Flask and Socket.IO
Mushroom-Map-Maker
Flask app that generates a heat map of a specific mushroom's distribution across the globe
parallel-python
Python code samples from the High Performance Computing with R and Python workshop, Presented by Brett Vanderwerff on 11/13/18
Sentiment-Analyzer
Sentiment analysis Flask app with vaderSentiment and word_cloud
speed_date
A simple wrapper for Pandas to_datetime method that speeds up datetime conversions
TCGA_survival_analysis
Workflow for survival analysis of cancer patients from the Cancer Genome Atlas project
TCGA_upper_quantile_normalization
A tutorial for reproducing the upper quantile normalization of TCGA raw counts data
Harding-RNA-Sequencing-Pipeline
A pipeline for analyzing RNA sequencing data for the Harding lab at WSU
cbioportal
cBioPortal for Cancer Genomics
cbioportal-docker
A context to create cBioPortal docker images
cbioportal-frontend
React Frontend of cBioPortal :tada:
city-scrapers
Data collection system for City Bureau Documenters Project
IsoformSwitchAnalyzeR
An R package to Identify, Annoatate and Visialize Isoform Switches with Functional Consequences (from RNA-seq data)
Journal-Rank
Flask app for reviewing academic journals
Magnet2Torrent
This will convert a magnet link into a .torrent file
package_tutorial
(WIP) A tutorial for packaging projects for the Python Package Index (PyPI)
peer_finder
Tool for getting a list of peers for bittorrent
play-books-notes
:books: API & Frontend for getting your annotations and quotes from the Google Play Books App. :book:
Portfolio-Website
The code for my personal website
python-ecology-lesson
:page_with_curl: Data Carpentry Python lessons on ecology.
TimeManager
Flask application for managing time during biological experiments
Zika-RNAseq-Pipeline
An open RNA-Seq data analysis pipeline tutorial with an example of reprocessing data from a recent Zika virus study