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Low-frequency small variants and large deletions detection from mitochondrial DNA deep sequencing experiments.
An R program to visualize, normalize, and analyze -omics data such as those from microarray, metabolomics and proteomics experiments. Data are supplied as a list or table along with parameter settings, all in an Excel file.
Encapsulates the migration of data from genomeseer database, integration of Clarity data and visualization via a web application
Tools for processing droplet microfluidics data in R.
PySlurm with fixes on the 16.05.5 branch to allow use with Python 3.6+