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

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...

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...

Genome Annotation and Assembly

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.

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...

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....

You might also read

Related Articles

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

Sort by

Same author

Assembly of a high-quality reference genome for the rat tapeworm <i>Hymenolepis diminuta</i>.

bioRxiv : the preprint server for biology·2026

Same author

The Vertebrate Genomes Project Phase I: A global reference genome resource.

bioRxiv : the preprint server for biology·2026

Same author

Harmonizing standards and resources for the medical genome.

Nature·2026

Same author

Population-scale Y chromosome assemblies reveal recurrent remodeling within constrained architectures.

bioRxiv : the preprint server for biology·2026

Same author

Sputum scarcity and associated factors in people undergoing tuberculosis testing in South Africa, Uganda, India, and the Philippines: an analysis of cross-sectional observational data.

EClinicalMedicine·2026

Same author

Multicountry assessment of tongue swabs for tuberculosis using a common protocol for Xpert MTB/RIF Ultra testing: a prospective diagnostic accuracy study.

The Lancet. Microbe·2026

Search research articles

Related Experiment Video

Updated: Apr 12, 2026

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Published on: March 15, 2019

Long-read, whole-genome shotgun sequence data for five model organisms.

Kristi E Kim¹, Paul Peluso¹, Primo Babayan¹

¹Pacific Biosciences of California Inc. , 1380 Willow Road, Menlo Park, California 94025, USA.

Scientific Data

|May 16, 2015

Summary

This summary is machine-generated.

High-quality, public Single Molecule, Real-Time (SMRT) sequencing datasets are now available for five model organisms. These datasets facilitate the development of new bioinformatics tools for genome assembly and analysis.

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

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

Related Experiment Videos

Last Updated: Apr 12, 2026

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Published on: March 15, 2019

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

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

Single Molecule, Real-Time (SMRT) sequencing is a powerful technology for various genomic applications.
Publicly available, high-quality SMRT datasets are crucial for advancing analytical tool development.
Unique characteristics of SMRT data, such as long reads and random error profiles, require specialized algorithms.

Purpose of the Study:

To describe and release eight high-coverage SMRT sequencing datasets from five model organisms.
To provide resources for the development and testing of new bioinformatics tools for SMRT data analysis.
To support research in de novo genome assembly, structural variation, and base modification analysis.

Main Methods:

Generated eight high-coverage SMRT sequencing datasets using PacBio RS II instrument with P4C2 and P5C3 chemistries.
Sequenced five model organisms: Escherichia coli, Saccharomyces cerevisiae, Neurospora crassa, Arabidopsis thaliana, and Drosophila melanogaster.
Publicly released datasets to the NCBI Sequence Read Archive (ID SRP040522).

Main Results:

Successfully generated and released eight high-coverage SMRT datasets.
Datasets exhibit characteristics suitable for advanced genomic analyses, including long reads and high consensus accuracy.
Data are available for unrestricted use by the scientific community.

Conclusions:

The released SMRT datasets represent a valuable resource for the genomics research community.
These datasets will accelerate the development of novel analytical methods for SMRT sequencing data.
Facilitates research in genome assembly, structural variation, and base modification identification across diverse model systems.