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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 21, 2026

Competitive Genomic Screens of Barcoded Yeast Libraries
11:59

Competitive Genomic Screens of Barcoded Yeast Libraries

Published on: August 11, 2011

Quantitative phenotyping via deep barcode sequencing.

Andrew M Smith1, Lawrence E Heisler, Joseph Mellor

  • 1Department of Molecular Genetics, University of Toronto, Ontario, Canada.

Genome Research
|July 23, 2009
PubMed
Summary
This summary is machine-generated.

Barcode analysis by Sequencing (Bar-seq) uses deep sequencing for genome-wide fitness profiling, outperforming microarrays. This advanced method enables efficient identification of gene-environment interactions and drug targets in yeast.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Yeast Genetics

Background:

  • Next-generation sequencing (NGS) has transformed genomics.
  • Genome-scale fitness profiling is crucial for understanding gene function.
  • Current methods like barcode microarrays have limitations in dynamic range and throughput.

Purpose of the Study:

  • To introduce and validate a novel deep sequencing-based method for genome-scale fitness profiling.
  • To compare the performance of this new method against existing barcode microarray assays.
  • To develop an improved analysis routine for yeast deletion collection data.

Main Methods:

  • Application of deep sequencing for genome-scale fitness profiling using Barcode analysis by Sequencing (Bar-seq).
  • Parallel evaluation of yeast strain collections.
  • Re-sequencing and re-annotation of the yeast deletion collection.
  • Development of a revised barcode sequence list for improved data accuracy.

Main Results:

  • Bar-seq demonstrated superior dynamic range and throughput compared to barcode microarrays.
  • The method accurately identified drug targets in a complex chemogenomic assay.
  • Approximately 20% of expected barcode and priming sequences in the yeast deletion collection were found to vary, necessitating re-annotation.
  • Bar-seq proved effective in a multiplex format.

Conclusions:

  • Bar-seq is a powerful, high-throughput tool for genome-wide fitness profiling and identifying gene-environment interactions.
  • The revised barcode annotation significantly improves data quality and reliability.
  • This deep sequencing-based toolkit offers enhanced capabilities for genetic and chemogenomic studies in yeast.