Discovering known and novel miRNAs from small RNA sequencing data
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Updated
Nov 23, 2023 - Perl
Discovering known and novel miRNAs from small RNA sequencing data
Small non-coding RNA annotation Pipeline Optimized for rRNA- and tRNA-Derived Small RNAs
circRNA quantification, differential expression analysis and miRNA target prediction of RNA-Seq data
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
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
miARma-seq: a comprehensive tool for miRNA, mRNA and circRNA analysis
Precursor microRNA Identification Using Deep Convolutional Neural Networks
isomiR quantification and analysis pipeline
analyze isomiRs from seqbuster tool
Using RNA-Seq data to improve microRNA target prediction accuracy in animals
A software to detect genome-wide miRNA-gene enrichment signal.
Small RNAseq pipeline for paired-end reads
NAnostring quality Control dasHbOard
Off-target analysis of siRNA knock down paired with RNAseq
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