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RNA-seq

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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.
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Related Experiment Video

Updated: Jun 18, 2026

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Published on: March 15, 2019

Human genome sequencing using unchained base reads on self-assembling DNA nanoarrays.

Radoje Drmanac¹, Andrew B Sparks, Matthew J Callow

¹Complete Genomics, Inc., 2071 Stierlin Court, Mountain View, CA 94043, USA. rdrmanac@completegenomics.com

Science (New York, N.Y.)

|November 7, 2009

Summary

This study presents a new genome sequencing platform that is accurate, affordable, and scalable. It enables efficient human genome sequencing for large genetic studies and disease research.

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Last Updated: Jun 18, 2026

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

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Published on: March 15, 2019

Self-assembly of Complex Two-dimensional Shapes from Single-stranded DNA Tiles

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Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies

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Published on: August 20, 2021

Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

Genome sequencing is crucial for understanding human diseases.
Existing platforms face challenges in efficiency and cost.
Advancements are needed for large-scale genetic studies.

Purpose of the Study:

To describe a novel genome sequencing platform.
To evaluate its efficiency, accuracy, and cost.
To demonstrate its utility for human genome sequencing.

Main Methods:

Utilized combinatorial probe anchor ligation chemistry.
Employed patterned nanoarrays of self-assembling DNA nanoballs.
Sequenced three human genomes with high coverage.

Main Results:

Achieved 45- to 87-fold coverage per genome.
Identified 3.2 to 4.5 million sequence variants per genome.
Demonstrated high accuracy (1 false variant per 100 kilobases).

Conclusions:

The platform offers efficient imaging and low reagent consumption.
Affordable cost ($4400 consumables) and scalability are key advantages.
Enables complete human genome sequencing for rare variant detection in large studies.