Jove
Visualize
Contact Us

Related Concept Videos

Ribosome Profiling02:24

Ribosome Profiling

3.7K
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.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
3.7K
RNA-seq03:21

RNA-seq

10.4K
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. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
10.4K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Targeting sFRP1 with WAY-316606 Suppresses Proliferation, Migration, and Invasion in Metastatic Melanoma.

Cancers·2026
Same author

GCNPath: introspecting drug response prediction with pathway-guided graph convolution networks.

Communications biology·2026
Same author

Epstein-Barr Virus Promotes Gastric Cancer Progression by Modulating m6A-Dependent YTHDF1-TSC22D1 Axis.

Microorganisms·2025
Same author

Spider Venom-Derived Peptide Exhibits Dual Anti-Inflammatory and Antioxidative Activities in LPS-Stimulated BEAS-2B Cells.

Antioxidants (Basel, Switzerland)·2025
Same author

RPS24 microexon isoform as a novel biomarker for estrogen receptor-positive breast cancer progression and therapeutic resistance.

Experimental & molecular medicine·2025
Same author

Multi-cancer analysis of histopathologic MSI screening based on digital histology image.

PloS one·2025
Same journal

Model-based quantification of protein-protein interaction aberrations for exploring dysregulated signalling pathways through pathway maps and gene expression levels.

BMC bioinformatics·2026
Same journal

Research on multi-trait genome association study method based on Shannon information entropy.

BMC bioinformatics·2026
Same journal

A multi-view feature fusion framework with interpretable graph convolution for predicting microbe-drug associations.

BMC bioinformatics·2026
Same journal

Covariance decomposition for distance based species tree estimation.

BMC bioinformatics·2026
Same journal

SNPio: a Python interface for population genomic data processing.

BMC bioinformatics·2026
Same journal

SpaHNR: a spatial domain identification method via sparse attention-based hierarchical node representation and multi-view contrastive learning.

BMC bioinformatics·2026
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Sep 24, 2025

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
07:09

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

Published on: May 28, 2021

9.8K

tReasure: R-based GUI package analyzing tRNA expression profiles from small RNA sequencing data.

Jin-Ok Lee1,2, Jiyon Chu1,2, Gyuyeon Jang3

  • 1Department of Biomedicine and Health Sciences, Graduate School, The Catholic University of Korea, Seoul, 06591, Republic of Korea.

BMC Bioinformatics
|May 3, 2022
PubMed
Summary
This summary is machine-generated.

We developed tReasure, a new software tool to analyze tRNA expression from deep sequencing data. This tool helps researchers explore the link between tRNA expression and diseases, even without extensive bioinformatics experience.

Keywords:
GUI R packagesSmall RNA sequencetRNA expression analysis

More Related Videos

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
10:10

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Published on: September 18, 2021

38.6K
Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
05:22

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Published on: July 29, 2022

3.7K

Related Experiment Videos

Last Updated: Sep 24, 2025

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
07:09

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq

Published on: May 28, 2021

9.8K
Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
10:10

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Published on: September 18, 2021

38.6K
Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
05:22

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Published on: July 29, 2022

3.7K

Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Genomics

Background:

  • Deep sequencing technologies offer insights into tRNA expression profiles.
  • The association between tRNA expression and diseases remains underexplored due to a lack of analytical tools.

Purpose of the Study:

  • To develop a user-friendly software tool for analyzing differentially expressed tRNAs (DEtRNAs) from deep sequencing data.
  • To facilitate the exploration of tRNA expression's biological implications in disease research.

Main Methods:

  • Developed tRNA Expression Analysis Software Utilizing R for Easy use (tReasure).
  • Implemented stringent mapping strategies for precise measurement of mature tRNA read counts.
  • Integrated a complete analysis workflow from FASTQ file upload to statistical visualization.

Main Results:

  • tReasure quantifies individual mature tRNAs, isodecoders, and isoacceptors.
  • The software enables precise measurement of mature tRNA read counts.
  • The entire workflow for DEtRNA analysis is available within the tReasure package.

Conclusions:

  • tReasure is an open-source software simplifying tRNA expression analysis.
  • It is accessible to users with limited command-line experience.
  • The tool will be valuable for investigating the biological implications of tRNA expression in various contexts.