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Related Concept Videos

RNA-seq03:21

RNA-seq

11.7K
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...
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Ribosome Profiling02:24

Ribosome Profiling

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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.
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...
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Related Experiment Video

Updated: Jan 11, 2026

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
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RNA-SeqEZPZ: a point-and-click pipeline for comprehensive transcriptomics analysis with interactive visualizations.

Cenny Taslim1, Yuan Zhang2, Galen Rask1

  • 1Center for Childhood Cancer Research, The Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH 43215, USA.

Gigascience
|November 12, 2025
PubMed
Summary
This summary is machine-generated.

RNA-SeqEZPZ is a new automated pipeline that simplifies RNA sequencing analysis for researchers. It offers a user-friendly interface and containerized software for reproducible and scalable genomic research without coding expertise.

Keywords:
RNA-seq analysis pipelinedifferential analysisnextflowpathway analysisreproducible bioinformaticssingularityuser friendly interfaceRNA sequencing

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • RNA sequencing (RNA-Seq) analysis is crucial in genomic research but often relies on complex in-house scripts.
  • These scripts pose challenges for bench scientists, hindering standardization and reproducibility.
  • Existing RNA-Seq pipelines may lack comprehensive end-to-end user interfaces.

Purpose of the Study:

  • To develop an automated RNA sequencing analysis pipeline with a user-friendly interface.
  • To enable rigorous and reproducible RNA-Seq analysis for researchers without bioinformatics expertise.
  • To provide a scalable and portable solution for diverse computational environments.

Main Methods:

  • Developed RNA-SeqEZPZ, an automated pipeline with a point-and-click interface.
  • Packaged all software within a Singularity container to eliminate installation issues.
  • Integrated a Nextflow version for scalability and portability across platforms, including cloud and cluster computing.
  • Included options for batch adjustment and comprehensive statistical reporting.

Main Results:

  • RNA-SeqEZPZ provides a user-friendly, point-and-click interface from raw FASTQ files to differential expression and pathway analysis.
  • The pipeline ensures reproducibility and scalability through containerization and Nextflow integration.
  • It generates detailed statistical reports and includes batch adjustment for noise reduction.

Conclusions:

  • RNA-SeqEZPZ offers a robust, accessible, and scalable solution for comprehensive RNA-Seq analysis.
  • Researchers can now focus on biological insights rather than computational complexities.
  • The pipeline empowers researchers by simplifying complex genomic data analysis.