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A Python toolbox for quantitative, reproducible flow cytometry analysis
Flow cytometry analysis workflow. The aim of this project is to provide an intuitive workflow for the analysis of high-dimensionality cytometry data in R.
Visualizations for machine learning datasets
Analysis of quantification in StarSolo
StarDist - Object Detection with Star-convex Shapes
Bioconvert is a collaborative project to facilitate the interconversion of life science data from one format to another.
See: https://www.iscb.org/ismb2018/3511#am1
MuPeXI: the mutant peptide extractor and informer, a tool for predicting neo-epitopes from tumor sequencing data.
prototype: a relational database which supports live GraphQL-like queries. Written in Go with BoltDB storage.
Lemur: visual functional programming language that compiles to Python
CLI for splitting a fastq that has multiple readgroups
Republish the climate change websites removed by the EPA onto your own site. Amplify the dangers of climate change.
This repository contains the code to generate predictions of critical violations at food establishments in Chicago. It also contains the results of an evaluation of the effectiveness of those predi…
Code and additional processed data for manuscript "Tumor and Microenvironment Evolution during Immunotherapy with Nivolumab"; see for manuscript https://doi.org/10.1016/j.cell.2017.09.028 See also …
A set of tools written in Perl and C++ for working with VCF files, such as those generated by the 1000 Genomes Project.
Python for HLA analysis: summary, association analysis, zygosity test and interaction test
An R implementation of the UpSet set visualization technique published by Lex, Gehlenborg, et al..
Python Scientific Pipeline Management System
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments