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Benjamin Doran's Projects

bio-unidip-examples icon bio-unidip-examples

Suplementary materials to "Unimodality Based Clustering Applied to Biological Motif Discovery"

bio3dview.jl icon bio3dview.jl

A Julia package to view macromolecular structures in the REPL, in a Jupyter notebook/JupyterLab or in Pluto

centos-spark icon centos-spark

Builds Centos7 docker container image with Spark2.2 installed including dependencies

docker-gmx icon docker-gmx

Docker automated build for GROMACS molecular dynamics program

glmnet.jl icon glmnet.jl

Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet

help50 icon help50

This is help50, a command-line tool that helps students understand error messages.

logoplots.jl icon logoplots.jl

Very basic plotting recipe for biological sequence motifs

motif-paper icon motif-paper

Details application of UniDip to the problem of biologic motif discovery. We find that UniDip is able to preprocess DNA sequences such that MEME is able to find motifs 70% faster.

multivariatestats.jl icon multivariatestats.jl

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

neo4j-graphaware-container icon neo4j-graphaware-container

Docker compose and configuration files for running a Neo4j 3.3.1 container with GraphAware NLP and APOC plugins installed.

phylo.jl icon phylo.jl

Simple phylogenetic trees in Julia to work with Diversity.jl - https://github.com/EcoJulia/Diversity.jl

seurat icon seurat

R toolkit for single cell genomics

seurat-docker icon seurat-docker

Docker container based of rocker/verse container with seurat and dependencies installed

skinny-dip icon skinny-dip

Code and supplementary material from the KDD 2016 paper "Skinny-dip: Clustering in a sea of noise" by Samuel Maurus and Claudia Plant.

unidip icon unidip

Python port of the Unidip clustering algorithm from: http://www.kdd.org/kdd2016/subtopic/view/skinny-dip-clustering-in-a-sea-of-noise

yggdrasil icon yggdrasil

Collection of builder repositories for BinaryBuilder.jl

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