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

12.1K
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...
12.1K
What is a Species?01:17

What is a Species?

50.5K
Overview
50.5K
Keystone Species01:39

Keystone Species

25.0K
Measures of species biodiversity, such as richness (i.e., the number of species present) and evenness (i.e., their relative abundance), describe an ecological community’s structure. Many factors affect community structure, including abiotic factors (e.g., sunlight and nutrients), disturbances (e.g., fire or flood), species interactions (e.g., predation or competition), and chance events (e.g., foreign species invasion). Certain species—such as keystone species—also play a...
25.0K
Formation of Species01:31

Formation of Species

45.4K
Speciation describes the formation of one or more new species from one or sometimes multiple original species. The resulting species are discrete from the parent species, and barriers to reproduction will typically exist. There are two primary mechanisms, speciation with and without geographic isolation—allopatric and sympatric speciation, respectively.
45.4K
RNA Interference01:23

RNA Interference

28.2K
RNA interference (RNAi) is a process in which a small non-coding RNA molecule blocks the post-transcriptional expression of a gene by binding to its messenger RNA (mRNA) and preventing the protein from being translated.
This process occurs naturally in cells, often through the activity of genomically-encoded microRNAs. Researchers can take advantage of this mechanism by introducing synthetic RNAs to deactivate specific genes for research or therapeutic purposes. For example, RNAi could be used...
28.2K
RNA Structure01:23

RNA Structure

79.2K
Overview
The basic structure of RNA consists of a five-carbon sugar and one of four nitrogenous bases. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA): messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three RNA types consist of a...
79.2K

You might also read

Related Articles

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

Sort by
Same author

quercusTOA: integrating functional annotations and comparative genomics across oak lineages.

Frontiers in bioinformatics·2026
Same author

Impact of simulated microgravity in short-term evolution of an RNA bacteriophage.

Frontiers in microbiology·2025
Same author

Physiological and molecular response to drought in somatic plants from Pinus radiata embryonal masses induced at high temperatures.

Plant physiology and biochemistry : PPB·2025
Same author

gymnotoa-db: a database and application to optimize functional annotation in gymnosperms.

Database : the journal of biological databases and curation·2025
Same author

Evaluating the role of generative AI and color patterns in the dissemination of war imagery and disinformation on social media.

Frontiers in artificial intelligence·2025
Same author

Missing genotype imputation in non-model species using self-organizing maps.

Molecular ecology resources·2024
Same journal

Cross-Domain Transfer Learning from Peptides to Metabolites Using a Multi-Property Fine-Tuned LLM.

Bioinformatics (Oxford, England)·2026
Same journal

Biomedical Concept Recognition with Error-aware Negative-enhanced Ranking Framework.

Bioinformatics (Oxford, England)·2026
Same journal

TEDLH: Domain HMMs for sensitive detection of remote homologues.

Bioinformatics (Oxford, England)·2026
Same journal

PLNFGL: Joint Estimation of Multi-Condition Gene Networks from Single-cell RNA-seq Data.

Bioinformatics (Oxford, England)·2026
Same journal

MCFST: Spatial domain identification method based on multi-view graph convolutional network and graph fusion network.

Bioinformatics (Oxford, England)·2026
Same journal

SpaBiT: Enhancing Spatial Transcriptomics Resolution via Bidirectional Attention Transformers.

Bioinformatics (Oxford, England)·2026
See all related articles

Related Experiment Video

Updated: Feb 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

394

NGScloud: RNA-seq analysis of non-model species using cloud computing.

Fernando Mora-Márquez1, José Luis Vázquez-Poletti2, Unai López de Heredia1

  • 1GI Genética, Fisiología e Historia Forestal, Dpto. Sistemas y Recursos Naturales, ETSI Montes, Forestal y del Medio Natural, Universidad Politécnica de Madrid, Spain.

Bioinformatics (Oxford, England)
|May 5, 2018
PubMed
Summary
This summary is machine-generated.

NGScloud offers a cloud-based bioinformatics system for RNA-sequencing (RNA-seq) analysis, optimizing costs and time. This system is ideal for non-model species, enabling faster data processing through parallel computing.

More Related Videos

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data
07:35

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data

Published on: December 1, 2023

1.2K
Characterization of In Vitro Differentiation of Human Primary Keratinocytes by RNA-Seq Analysis
07:29

Characterization of In Vitro Differentiation of Human Primary Keratinocytes by RNA-Seq Analysis

Published on: May 16, 2020

6.7K

Related Experiment Videos

Last Updated: Feb 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

394
Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data
07:35

Author Spotlight: A Computational Pipeline for Analyzing Chimeric Noncoding RNA-Target RNA Interactions in High-Throughput Sequencing Data

Published on: December 1, 2023

1.2K
Characterization of In Vitro Differentiation of Human Primary Keratinocytes by RNA-Seq Analysis
07:29

Characterization of In Vitro Differentiation of Human Primary Keratinocytes by RNA-Seq Analysis

Published on: May 16, 2020

6.7K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • RNA-sequencing (RNA-seq) analysis typically demands substantial computational resources.
  • Optimizing computational infrastructure for RNA-seq is crucial for efficient research.

Purpose of the Study:

  • To introduce NGScloud, a cloud-based bioinformatics system for RNA-seq data analysis.
  • To enable scalable and cost-effective RNA-seq analysis, particularly for non-model species.

Main Methods:

  • Utilizes Amazon cloud computing services for scalable infrastructure.
  • Features a user-friendly front-end for managing cloud resources.
  • Implements a cluster concept for parallel processing across multiple virtual machines.

Main Results:

  • Optimizes RNA-seq analysis costs and execution time.
  • Facilitates RNA-seq analysis for non-model species.
  • Accelerates common RNA-seq analysis programs through parallel execution.

Conclusions:

  • NGScloud provides an efficient and accessible solution for RNA-seq analysis.
  • The system enhances computational accessibility for genomic research.
  • NGScloud is freely available for broader scientific adoption.