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Related Concept Videos

RNA-seq03:21

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After...
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Related Experiment Video

Updated: Nov 9, 2025

A Complete Pipeline for Isolating and Sequencing MicroRNAs, and Analyzing Them Using Open Source Tools
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EZcount: An all-in-one software for microRNA expression quantification from NGS sequencing data.

Filippo Geraci1, Giovanni Manzini2

  • 1Institute for Informatics and Telematics, CNR, Pisa, 56124, Italy.

Computers in Biology and Medicine
|April 14, 2021
PubMed
Summary

EZcount software accurately quantifies microRNAs (miRNAs) from sequencing data. This tool offers a faster and more sensitive alternative to traditional alignment methods for miRNA biomarker discovery.

Keywords:
AlgorithmsMicroRNANext-generation sequencingTranscriptomics

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Genomics

Background:

  • MicroRNAs (miRNAs) are crucial regulators of gene expression with significant roles in cellular functions.
  • miRNAs are increasingly utilized as biomarkers in personalized medicine for diagnosis and treatment response prediction.
  • Accurate quantification of miRNA concentration from sequencing data is challenging due to short sequence lengths and mapping ambiguities.

Purpose of the Study:

  • To develop and validate EZcount, an efficient software for accurate miRNA quantification.
  • To provide an all-in-one solution for processing raw sequencing files to miRNA read counts.
  • To demonstrate the superior sensitivity and accuracy of EZcount compared to alignment-based methods.

Main Methods:

  • Development of EZcount, a novel all-in-one software for miRNA quantification.
  • Utilizing a parallel architecture for rapid processing of sequencing data.
  • Comparative analysis of EZcount against sequence alignment methods using diverse datasets.

Main Results:

  • EZcount achieves higher sensitivity and accuracy in miRNA quantification than alignment-based approaches.
  • The software provides accurate read counts directly from raw fastq files.
  • EZcount processes samples rapidly, completing analysis in minutes on standard hardware.

Conclusions:

  • EZcount offers a significant advancement in miRNA quantification, improving accuracy and speed.
  • The software is a valuable tool for miRNA biomarker research and personalized medicine applications.
  • EZcount is user-friendly, cross-platform compatible, and freely available.