Jove
Visualize
Contact Us
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 Concept Videos

RNA-seq03:21

RNA-seq

12.3K
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...
12.3K
Next-generation Sequencing03:00

Next-generation Sequencing

100.3K
The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
100.3K

You might also read

Related Articles

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

Sort by
Same author

Multi-PCM Lime Mortars Incorporating Polymer-Shell and Form-Stable Phase Change Materials for Energy-Efficient Building Envelopes.

Polymers·2026
Same author

PolyDeep Advance 3: Randomized Clinical Trial comparing PolyDeep-assisted and conventional colonoscopy for adenoma detection rate in a colorectal cancer screening program.

Endoscopy·2026
Same author

Updates and validation of the Compi RNA-seq pipeline with a case study in Alzheimer's disease.

Journal of integrative bioinformatics·2026
Same author

PIBAdb: a public cohort of multimodal colonoscopy videos and images including polyps with histological information.

Computer methods and programs in biomedicine·2026
Same author

Phenocopies in acute lymphoblastic leukemia: Redefining leukemia subtypes in the transcriptomic era.

Blood reviews·2026
Same author

Clinical Evaluation of PolyDeep, A Computer-Aided Detection System: A Multicenter Randomized Tandem Colonoscopy Trial.

Diagnostics (Basel, Switzerland)·2025

Related Experiment Video

Updated: Mar 11, 2026

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes
05:07

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes

Published on: November 7, 2025

477

RUbioSeq+: A multiplatform application that executes parallelized pipelines to analyse next-generation sequencing

Miriam Rubio-Camarillo1, Hugo López-Fernández2, Gonzalo Gómez-López1

  • 1Bioinformatics Unit (UBio), Structural Biology and Biocomputing Programme, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.

Computer Methods and Programs in Biomedicine
|November 26, 2016
PubMed
Summary

RUbioSeq+ offers an updated, user-friendly platform for next-generation sequencing (NGS) data analysis. This tool enhances reproducibility and efficiency for DNA-seq, CNA-seq, bisulfite-seq, and ChIP-seq experiments.

Keywords:
Bisulfite-SeqCNVChIPSeqNGS analysisVariant callingWhole-genome

More Related Videos

A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells
06:02

A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells

Published on: October 28, 2025

637
Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
07:30

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Published on: June 8, 2020

12.9K

Related Experiment Videos

Last Updated: Mar 11, 2026

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes
05:07

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes

Published on: November 7, 2025

477
A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells
06:02

A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells

Published on: October 28, 2025

637
Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
07:30

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples

Published on: June 8, 2020

12.9K

Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Next-generation sequencing (NGS) analysis demands efficient and reproducible data processing pipelines.
  • Existing tools often lack integration and user-friendliness for routine analysis.

Purpose of the Study:

  • To present RUbioSeq+, an enhanced version of a multiplatform application for NGS data analysis.
  • To improve the accessibility and functionality of NGS data processing for researchers.

Main Methods:

  • Development of automated and parallelized workflows using established software.
  • Integration of a graphical user interface (GUI) for enhanced usability.
  • Inclusion of new pipelines for ChIP-seq and pair-wise comparisons in DNA-seq.

Main Results:

  • RUbioSeq+ features an interactive GUI, simplifying NGS data analysis for diverse experiments.
  • New pipelines for ChIP-seq and DNA-seq (case-control analyses) are incorporated.
  • Improved parallelized and multithreaded execution options enhance performance.

Conclusions:

  • RUbioSeq+ provides a validated, efficient, and user-friendly solution for NGS data analysis.
  • The software is freely available, promoting wider adoption in biomedical research.