grabear
Computational Biologist working within the fields of neuroscience, genetics, molecular biology, and data science. I build things with R and Python.
@grabearummcTysons, VA
Pinned Repositories
beRi
beRi "beri environments for R installations" is an R environment, R installation, and R package management system for R
OrthoEvolution
An easy to use and comprehensive python package which aids in the analysis and visualization of orthologous genes. 🐵
renv
Creating virtual environments for R.
awesome-rshiny
An awesome R-shiny list!
Raspbian-ShinyServerAndPython36
Installation scripts for Python 3.6.2 and Shiny-Server
shiny-cookiecutter
A cookiecutter template for shiny apps. Will have a way to install most used shiny packages.
shinyLoot
An R Shiny Package for Managing Loot in Popular Tabletop RPG Games.
metacoder
Parsing, Manipulation, and Visualization of Metabarcoding/Taxonomic data
MicrobiomeR
A comprehensive and customizable R package for microbiome analysis.
grabear's Repositories
grabear/guidance
A stable place for guidance source code http://guidance.tau.ac.il/ver2/source.php
grabear/advanced-shiny
Shiny tips & tricks for improving your apps and solving common problems
grabear/ampvis2
Tools for visualising amplicon data
grabear/biom-format
The Biological Observation Matrix (BIOM) Format Project
grabear/biopython
Official git repository for Biopython (converted from CVS)
grabear/biosql
grabear/datasharing
The Leek group guide to data sharing
grabear/Datasnakes-Cookie
grabear/dict
Dictionary with arbitrary keys and values for R
grabear/json_to_newick
Python function to convert a json object to a newick string.
grabear/msaR
The BioJS MSA viewer wrapped into an R package
grabear/shiny-examples
grabear/shiny-server
Host Shiny applications over the web.
grabear/shinyLP
A R package for Bootstrap Components to make Landing Home Pages for Shiny :globe_with_meridians:
grabear/treelib
An efficient implementation of tree data structure in python 2/3.
grabear/wasabi
Wasabi is a web-based tool for evolutionary sequence analysis. Homepage: http://wasabiapp.org