Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Evolutionary Relationships through Genome Comparisons

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

RNA-seq

RNA-seq

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 microarray-based...

Next-generation Sequencing

Next-generation Sequencing

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.

Genomics

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

You might also read

Related Articles

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

Sort by

Same author

Vunakizumab in patients with active psoriatic arthritis: a multicentre, randomized, double-blind, placebo-controlled, phase 2 study.

Rheumatology (Oxford, England)·2026

Same author

Targeting LRRC15 in Cancer-Associated Fibroblasts Modifies the Extracellular Matrix and Enhances Tumor Immune Responses to Suppress Lung Cancer Progression.

Cancer research·2026

Same author

A spatially resolved atlas of gastric cancer characterises a lymphocyte-aggregated region.

Nature communications·2026

Same author

Single-cell screens identify ADAM12 as a fibroblast checkpoint impeding anti-tumor immunity.

Cancer cell·2026

Same author

Quantitative sampling of iodinated X-ray contrast media in water by diffusive gradients in the thin-films technique.

Analytical methods : advancing methods and applications·2026

Same author

Research on gas-liquid coupled flow field dynamics and atomization characteristics of multi-duct sprayers based on CFD.

Frontiers in plant science·2025

Same journal

Mild oxidative stress and dietary epigenetic modulators direct DNA methylation remodeling toward stress-resilience pathways.

BMC genomics·2026

Same journal

Integrative ATAC-Seq and RNA-Seq analysis identifies key genes for intramuscular fat content in Laiwu pigs.

BMC genomics·2026

Same journal

A comprehensive long RNA landscape of multi-regional porcine lung-derived small extracellular vesicles.

BMC genomics·2026

Same journal

pGWAS-Portal: a comprehensive online platform for integrative post-genome-wide association study analysis.

BMC genomics·2026

Same journal

Physiological and transcriptomic analyses of Rosa persica in response to drought stress and functional validation of the transcription factor RpERF113-like.

BMC genomics·2026

Same journal

Integrated analysis of chromatin accessibility and transcriptome profiles in granulosa cells of sheep with different FecB genotypes.

BMC genomics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 10, 2026

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Published on: December 13, 2024

Rainbow: a tool for large-scale whole-genome sequencing data analysis using cloud computing.

Shanrong Zhao¹, Kurt Prenger, Lance Smith

¹Systems Pharmacology and Biomarkers, Janssen Research & Development, LLC, 3210 Merryfield Row, San Diego, CA 92121, USA. shanrong_zhao@yahoo.com

|June 28, 2013

Summary

This summary is machine-generated.

Rainbow, a cloud-based software, automates large-scale whole-genome sequencing (WGS) data analysis. This cost-effective tool efficiently processes genomic data, overcoming limitations of previous software for multi-subject WGS projects.

More Related Videos

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Published on: April 8, 2017

Related Experiment Videos

Last Updated: May 10, 2026

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Published on: December 13, 2024

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Published on: April 8, 2017

Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Decreasing sequencing costs have led to a rapid increase in genomic dataset size and number.
Small to midsize research groups are now generating large amounts of sequence data.
Existing tools like Crossbow have limitations for large-scale, multi-subject whole-genome sequencing (WGS) projects due to resource requirements.

Purpose of the Study:

To develop a cloud-based software package, Rainbow, for automating large-scale WGS data analyses.
To address the challenges of data storage and CPU resources for large-scale WGS projects.

Main Methods:

Developed Rainbow, a cloud-based software package utilizing Amazon Web Services (AWS).
Evaluated Rainbow's performance by analyzing 44 whole-genome-sequenced subjects.
Incorporated features to handle BAM/FASTQ files, split large files, log metrics, and merge outputs.

Main Results:

Rainbow can process genomic data from over 500 subjects in two weeks.
The average cost per sample is less than $120 USD.
Rainbow offers improvements over Crossbow, including enhanced file handling and data merging capabilities for downstream analyses.

Conclusions:

Rainbow is a scalable, cost-effective, and open-source tool for large-scale WGS data analysis.
It is optimized for human WGS data from Illumina HiSeq 2000/2500 platforms.
Rainbow is available for third-party implementation and can be downloaded from a provided URL.