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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.
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basic useful copy-and-paste type codes
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Source codes to perform simulations of microtubule growth. Cleary et al. 2022, Elife, "Measurements and simulations of microtubule growth imply strong longitudinal interactions and reveal a role for GDP on the elongating end".
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TAD aware Regulatory Network Construction (TReNCo). The package provides scripts for constructing cell-type specific mouse TF-gene networks.
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Testing for data normality and variability, reporting sample sizes, and visualizing data groups.
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A single-cell RNA-seq analysis workflow for data stored on the BioHPC using CellRanger and Seurat.
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Low-frequency small variants and large deletions detection from mitochondrial DNA deep sequencing experiments.
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