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Testing for data normality and variability, reporting sample sizes, and visualizing data groups.

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.

A single-cell RNA-seq analysis workflow for data stored on the BioHPC using CellRanger and Seurat.

An RNA-seq data analysis workflow.

A Flywheel gear to import MEG metadata from files

This is a set of python and R routines for converting imaging and mask information to radiomic features and perform simple classification task.

cutandrun pipeline from https://github.com/nf-core/cutandrun