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Related Concept Videos

RNA-seq03:21

RNA-seq

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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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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
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Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
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FragmentFinder-a user-friendly, Windows-based tool for identifying and characterizing short RNAs excised from any

Jeffrey D DeMeis1, Courtlyn M Breaux2, Allison H Powell2

  • 1Department of Pharmacology, Frederick P. Whiddon College of Medicine, University of South Alabama, Mobile, AL 36688, United States.

NAR Genomics and Bioinformatics
|February 18, 2026
PubMed
Summary
This summary is machine-generated.

Researchers developed FragmentFinder, a user-friendly tool to identify and characterize short noncoding RNA (sncRNA) fragments. This platform analyzes all sncRNA-derived RNAs, including novel fragments, from sequencing data without requiring computational expertise.

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Area of Science:

  • * Molecular Biology
  • * Genomics
  • * Bioinformatics

Background:

  • * Short noncoding RNAs (sncRNAs) <200 nucleotides regulate cellular activities.
  • * MicroRNAs (miRNAs) are a key class of sncRNAs involved in gene regulation.
  • * Novel regulatory sncRNA fragments are often overlooked in analyses.

Purpose of the Study:

  • * To develop a user-friendly platform for identifying and characterizing sncRNA fragments.
  • * To enable the analysis of both annotated and unknown sncRNA-derived RNAs.
  • * To overcome computational barriers in sncRNA fragment analysis.

Main Methods:

  • * Development of FragmentFinder, a Windows-executable software.
  • * Real-time characterization of sncRNA-derived RNAs from raw small RNA sequencing data.
  • * Designed for users with minimal programming experience.

Main Results:

  • * FragmentFinder accurately characterizes all sncRNA-derived RNAs, including novel fragments.
  • * The platform requires no computational background for operation.
  • * Enables comprehensive analysis of sncRNA expression profiles.

Conclusions:

  • * FragmentFinder provides an accessible solution for sncRNA fragment analysis.
  • * Facilitates the study of previously uncharacterized sncRNA fragments.
  • * Advances the understanding of regulatory RNA biology.