Statistical Analysis of RNA-Seq Tools
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Updated
Oct 9, 2025 - R
Statistical Analysis of RNA-Seq Tools
scisorseqr is an R-package for processing of single-cell long read data and analyzing differential isoform expression across any two conditions
SHAMAN is a SHiny application for Metagenomic ANalysis including a bioinformatic workflow, the statistical analysis and multiple visualization.
An easy-to-use and open-source tool for differential, linear, differential-linear, and integral analysis of S-boxes
PenDA is a rank-based method for personalized differential analysis.
A differential and enrichment analyses pipeline for bulk ATAC-seq (and RNA-seq)
The statistical utility for RBP functions (SURF)
MAnorm2 for Normalizing and Comparing ChIP-seq Samples
Galaxy wrappers for SARTools (Statistical Analysis of RNA-Seq Tools)
A New Method to Search for Boomerang Distinguishers: Improved Rectangle Attacks on SKINNY and CRAFT
CV-Inspector: Given a set of sites, it automates the crawling, data collection, differential analysis, and labeling of the sites for circumvention of adblockers
A respository of Differential Cryptanalysis. Mainly focusing on SPN structure, lower bound of active Sbox, differential characteristic.
Comparison of gene usage in immune repertoires under different biological conditions
CV-Inspector: Given a set of sites, it automate the crawling, data collection, differential analysis, and labeling of the sites for circumvention of adblockers
In this module, you will learn how to perform the bioinformatics analysis of differential chromatin occupancy using data generated by three well-known high-throughput sequencing assaying, including differences between them and integration of chromatin accessibility and differential gene expression
Large-scale Benchmarking of Single-cell Differential Expression Analysis Methods
A Shiny application for performing differential accessibility analysis of consensus peaks' count data on HiPerGator storage and/or preparing peak data and bam files for such an analysis.
Collection of walkthrough tutorials on how to use Tweedieverse for differential analysis of omics data.
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