Discovering known and novel miRNAs from small RNA sequencing data
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Updated
Aug 27, 2024 - Perl
Discovering known and novel miRNAs from small RNA sequencing data
miRPV is an automated tool that enables users to predict and validate microRNAs from genome/gene sequences. miRPV Features: Predict novel pre-miRNA from any given sequence Predict secondary structure stability Predict authentic pre-miRNA Predict novel mature miRNA Predict novel miRNA targets
"Conserved microRNAs and Flipons Shape Gene Expression during Development by Altering Promoter Conformations" International Journal of Molecular Sciences 24, no. 5: 4884
This script implements a Selenium WebDriver to automate the access to miRDB - MicroRNA Target Prediction and Functional Study Database and search for microRNAs targets/seeds present in custom mRNA sequences.
Discovering known and novel miRNAs from small RNA sequencing data - updated scripts before release
microRNA validation using Spark framework
An R package to access, manage and visualize regulome (microRNA/transcription factors)-gene correlations in cancer
A Bio2BEL package for miRBase (http://www.mirbase.org)
An R package to analyse miRNA-mRNA interactions from miRNA and mRNA expression data
An R package to impute miRNA activity using protein-coding gene expression
Code for the PeerJ paper (cRegulome: an R package for accessing microRNA and transcription factor-gene expression correlations in cancer)
A Bio2BEL package for converting the Human microRNA Disease Database (HMDD) to BEL
Build the database file for cRegulome package
Supporting code for:"A conserved RNA regulates miRNA turnover and animal behavior through a near-perfect miRNA site"
Identify and translate miRNA names between different miRBase versions
Build SQLite tables of microRNAs and Transcription Factors-gene Correlations
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