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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...

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Updated: Sep 14, 2025

Competitive Genomic Screens of Barcoded Yeast Libraries

Competitive Genomic Screens of Barcoded Yeast Libraries

Published on: August 11, 2011

Barcode sequencing: a robust, platform-agnostic method for massively parallel cell-based screens.

Marjan Barazandeh¹, Hamid Kian Gaikani¹, Rutuja Pattanshetti¹

¹Pharmaceutical Sciences, The University of British Columbia, 2405 Wesbrook Mall, Vancouver, BC, Canada V6T 1Z3.

G3 (Bethesda, Md.)

|July 18, 2025

Summary

This summary is machine-generated.

Barcode sequencing (Bar-seq) is a versatile high-throughput method for analyzing large mutant libraries. This optimized workflow enhances accuracy and scalability across multiple sequencing platforms for genetic analysis.

Keywords:

Saccharomyces cerevisiae Bar-seq HIPHOP drug assay functional genomics fungi high-throughput sequencing yeast genomics

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Last Updated: Sep 14, 2025

Competitive Genomic Screens of Barcoded Yeast Libraries

Competitive Genomic Screens of Barcoded Yeast Libraries

Published on: August 11, 2011

Author Spotlight: Cost-Effective Transcriptomic Drug Screening - Unlocking New Targets

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Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

Published on: January 7, 2020

Area of Science:

Genomics
Molecular Biology
High-throughput screening

Background:

Barcode sequencing (Bar-seq) is a high-throughput method for identifying gene-drug interactions and genetic dependencies.
It enables high-resolution profiling of large mutant libraries over time and across conditions, yielding relative fitness values.

Purpose of the Study:

To present an optimized Bar-seq workflow adaptable to various sequencing platforms.
To highlight advantages and limitations of different sequencing approaches for experimental design.
To introduce refinements for enhanced accuracy, scalability, and ease of adoption.

Main Methods:

Adaptation of Bar-seq workflow for Illumina, MGI, Element, and Oxford Nanopore sequencing platforms.
Refinements in barcode amplification and sequencing strategies.
Improvements in data analysis for enhanced accuracy and scalability.

Main Results:

An optimized Bar-seq workflow compatible with multiple sequencing technologies.
Comparative analysis of sequencing platforms for Bar-seq applications.
Enhanced accuracy and scalability of the Bar-seq method.

Conclusions:

The optimized Bar-seq workflow offers flexibility and improved performance across diverse sequencing platforms.
Refinements in amplification, sequencing, and data analysis enhance the method's utility for genetic studies.
This adaptable workflow facilitates straightforward adoption for high-throughput genetic analysis.