Discovering known and novel miRNAs from small RNA sequencing data
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Updated
Dec 11, 2025 - Perl
Discovering known and novel miRNAs from small RNA sequencing data
circRNA quantification, differential expression analysis and miRNA target prediction of RNA-Seq data
Small non-coding RNA annotation Pipeline Optimized for rRNA- and tRNA-Derived Small RNAs
OmicSelector - Environment, docker-based application and R package for biomarker signiture selection (feature selection) & deep learning diagnostic tool development from high-throughput high-throughput omics experiments and other multidimensional datasets. Initially developed for miRNA-seq, RNA-seq and qPCR.
small rna-seq analysis package
detectPanel provides leakage-aware discovery and validation of small biomarker panels from count or expression matrices.
TransfoRNA: Navigating the Uncertainties of Small RNA Annotation with an Adaptive Machine Learning Strategy
command lines tool to annotate miRNAs with a standard mirna/isomir naming
Extracellular vesicle-derived miRNA-mediated cell-cell communication inference for single-cell transcriptomic data
miARma-seq: a comprehensive tool for miRNA, mRNA and circRNA analysis
MirMachine, a command line tool to detect microRNA homologs in genome sequences.
Precursor microRNA Identification Using Deep Convolutional Neural Networks
A command line version of the psRNATarget workflow that predicts potential miRNA target locations on a genome.
Using RNA-Seq data to improve microRNA target prediction accuracy in animals
Off-target analysis of siRNA knock down paired with RNAseq
NAnostring quality Control dasHbOard.
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