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Generates pre-miRNA and mature miRNA count tables from read alignments to pre-miRNA sequences and a gff file, both downloaded from mirBase. Produces also read coverage plots of pre-miRNAs.

jaxQTL is a flexible and efficient sc-eQTL mapping framework using count-based models, designed to analyze sparse counts in scRNA-seq data and large datasets. It has been shown to identify more eGenes compared with existing approaches, improving our ability to identify distal eQTLs.

Local Windows-friendly R Shiny application for RNA-seq differential expression using DESeq2, normalized-expression testing, over-representation analysis, fgsea-ranked pathway analysis, and WGCNA coexpression-network analysis. It supports input validation, additive and interaction designs, built-in human, fruit-fly, and yeast annotations, publication-quality plots, and reproducibility bundles containing results, settings, and executable R and R Markdown rerun code.

Tool to generate a count matrix for expression data in Galaxy. generate_count_matrix reads in one or more input text files with expression counts and produces a single combined file. Each input will have a column in the matrix containing expression values. The column containing gene (or feature) names should be identical for all input count files.

SPICEY (SPecificity Index for Coding and Epigenetic activitY) is an R package designed to quantify cell-type specificity in single-cell transcriptomic and epigenomic data, particularly scRNA-seq and scATAC-seq. It introduces two complementary indices: the Gene Expression Tissue Specificity Index (GETSI) and the Regulatory Element Tissue Specificity Index (RETSI), both based on entropy to provide continuous, interpretable measures of specificity. By integrating gene expression and chromatin accessibility, SPICEY enables standardized analysis of cell-type-specific regulatory programs across diverse tissues and conditions.

ArrayAnalysis is a web-based application for transcriptomic data analysis. It supports the analysis of both microarray and RNA-seq data. The tool may also be installed locally as a desktop app, Docker image, or R package.