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Updated: Nov 3, 2025

A Rapid High-throughput Method for Mapping Ribonucleoproteins RNPs on Human pre-mRNA

A Rapid High-throughput Method for Mapping Ribonucleoproteins RNPs on Human pre-mRNA

Published on: December 2, 2009

NoRCE: non-coding RNA sets cis enrichment tool.

Gulden Olgun^1,2, Afshan Nabi³, Oznur Tastan⁴

¹Department of Computer Engineering, Bilkent University, Ankara, Turkey.

BMC Bioinformatics

|June 3, 2021

Summary

This summary is machine-generated.

Most non-coding RNAs (ncRNAs) lack functional characterization. The NoRCE tool analyzes ncRNA functional importance by examining nearby coding genes and genomic data, aiding in understanding ncRNA roles.

Keywords:

Co-expression analysis Enrichment analysis Multi-species R package Non-coding gene TAD

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Last Updated: Nov 3, 2025

A Rapid High-throughput Method for Mapping Ribonucleoproteins RNPs on Human pre-mRNA

A Rapid High-throughput Method for Mapping Ribonucleoproteins RNPs on Human pre-mRNA

Published on: December 2, 2009

Identification of Circular RNAs using RNA Sequencing

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Published on: November 14, 2019

Chromatin Isolation by RNA Purification ChIRP

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Published on: March 25, 2012

Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

The functional roles of most non-coding RNAs (ncRNAs) remain uncharacterized.
Genomic proximity of ncRNAs suggests potential co-regulation and functional association.
Analyzing ncRNA function in a broader context is challenging.

Purpose of the Study:

To introduce NoRCE, a novel tool for cis-enrichment analysis of non-coding RNAs (ncRNAs).
To enable functional inference for sets of ncRNAs based on proximal coding gene annotations.
To provide a flexible platform for exploring ncRNA functional significance.

Main Methods:

NoRCE performs cis-enrichment analysis using functional annotations of proximal coding genes.
Integrates topologically associating domain (TAD) boundaries, co-expression, and miRNA target data.
Supports human, mouse, rat, zebrafish, fruit fly, worm, and yeast, with custom data options.

Main Results:

NoRCE facilitates functional enrichment analysis for user-defined sets of ncRNAs.
Incorporates diverse biological datasets including cell-specific TADs and cancer-related expression data.
Results are available in tabular and multiple visualization formats.

Conclusions:

NoRCE is a user-friendly, platform-independent R package for ncRNA functional analysis.
Offers flexibility for custom analysis pipelines to investigate ncRNA importance.
Accessible via Bioconductor and GitHub for broad scientific use.