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Related Concept Videos

RNA-seq03:21

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...
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
Next-generation Sequencing03:00

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.

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Related Experiment Video

Updated: Jun 6, 2026

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
11:52

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Published on: August 4, 2016

The uniqueome: a mappability resource for short-tag sequencing.

Ryan Koehler1, Hadar Issac, Nicole Cloonan

  • 1VerdAscend Sciences, West Linn, OR 97068, USA.

Bioinformatics (Oxford, England)
|November 16, 2010
PubMed
Summary
This summary is machine-generated.

We introduce the uniqueome, a genomic resource to identify uniquely mappable DNA sequences. This resource aids in accurately quantifying short-read sequencing data, such as RNAseq, by understanding genomic uniqueness.

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G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome
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Last Updated: Jun 6, 2026

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
11:52

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Published on: August 4, 2016

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome
06:40

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

Published on: March 22, 2018

Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • Accurate quantification of sequencing data relies on understanding genomic uniqueness.
  • Short-read sequencing technologies like CNVseq and RNAseq require knowledge of mappable genomic regions.

Purpose of the Study:

  • To present the 'uniqueome', a comprehensive genomic resource.
  • To provide data for understanding the proportion of uniquely mappable genomic sequences.
  • To demonstrate the utility of the uniqueome for RNAseq data quantification.

Main Methods:

  • Development of the 'uniqueome' resource.
  • Pre-computation of uniqueome data for multiple genomes (human, mouse, fly, worm).
  • Availability of data in both color-space and nucleotide-space.

Main Results:

  • The uniqueome resource provides a measure of genomic uniqueness.
  • Pre-computed data are accessible for several key model organisms.
  • The resource's application to RNAseq quantification is demonstrated.

Conclusions:

  • The uniqueome is a valuable resource for applications relying on short-tag sequencing data.
  • Understanding genomic uniqueness is critical for accurate data quantification.
  • The uniqueome facilitates improved analysis of RNAseq and similar datasets.