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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...
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.
Sanger Sequencing01:57

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...

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Related Experiment Video

Updated: Jun 13, 2026

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells
08:30

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Published on: January 7, 2020

Highly-multiplexed barcode sequencing: an efficient method for parallel analysis of pooled samples.

Andrew M Smith1, Lawrence E Heisler, Robert P St Onge

  • 1Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, Ontario M5S 1A8, Canada.

Nucleic Acids Research
|May 13, 2010
PubMed
Summary
This summary is machine-generated.

Highly multiplexed sequencing, or Bar-seq, enables 96 samples to be analyzed in one run. This cost-effective method provides comparable data to current benchmarks for molecular counting applications.

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Competitive Genomic Screens of Barcoded Yeast Libraries
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Competitive Genomic Screens of Barcoded Yeast Libraries

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Related Experiment Videos

Last Updated: Jun 13, 2026

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells
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Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Published on: January 7, 2020

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
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Competitive Genomic Screens of Barcoded Yeast Libraries
11:59

Competitive Genomic Screens of Barcoded Yeast Libraries

Published on: August 11, 2011

Area of Science:

  • Molecular Biology
  • Genomics
  • Biotechnology

Background:

  • Next-generation sequencing (NGS) is effective for molecular counting (e.g., RNA-seq, ChIP-seq).
  • High read counts improve complex sample analysis but lead to oversampling in simpler samples, reducing efficiency.
  • Current methods face diminishing returns for low-complexity samples due to oversampling.

Purpose of the Study:

  • To develop a more efficient and affordable NGS approach for molecular counting.
  • To demonstrate the feasibility of analyzing multiple samples in a single NGS run.
  • To validate a highly multiplexed sequencing method for DNA barcoded yeast mutants.

Main Methods:

  • Developed a 96-plexing strategy for DNA barcoded yeast mutant pools.
  • Utilized next-generation sequencing for high-throughput analysis.
  • Compared Bar-seq data with barcode microarrays, the established benchmark.

Main Results:

  • Successfully achieved 96-plexing of complex DNA barcoded yeast mutant pools.
  • Bar-seq data demonstrated comparability with barcode microarray results.
  • The method confirmed the efficiency and cost-effectiveness of multiplexed sequencing.

Conclusions:

  • Highly multiplexed sequencing (Bar-seq) is a viable and efficient alternative for molecular counting applications.
  • This approach significantly reduces costs and increases throughput for assays like chemogenomics.
  • The parallelization capability makes Bar-seq suitable for various sequence counting applications benefiting from massive parallelization.