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Related Experiment Video

Updated: Jun 27, 2025

Competitive Genomic Screens of Barcoded Yeast Libraries

Competitive Genomic Screens of Barcoded Yeast Libraries

Published on: August 11, 2011

Analysis of DNA Barcodes Using DNA Subway.

Jason Williams¹, Bruce Nash², Cornel Ghiban²

¹Cold Spring Harbor Laboratory DNA Learning Center, Cold Spring Harbor, NY, USA. williams@cshl.edu.

Methods in Molecular Biology (Clifton, N.J.)

|April 29, 2024

Summary

This summary is machine-generated.

DNA Subway simplifies DNA barcoding analysis for classrooms, requiring no software installation. This bioinformatics tool guides users through sequence analysis, phylogenetic tree construction, and data submission to GenBank.

Keywords:

BLAST Bioinformatics DNA barcoding DNA sequencing Multiple sequence alignment NCBI GenBank Phylogenetic tree

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Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

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Related Experiment Videos

Last Updated: Jun 27, 2025

Competitive Genomic Screens of Barcoded Yeast Libraries

Competitive Genomic Screens of Barcoded Yeast Libraries

Published on: August 11, 2011

BEST: Barcode Enabled Sequencing of Tetrads

BEST: Barcode Enabled Sequencing of Tetrads

Published on: May 1, 2014

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

Area of Science:

Bioinformatics
Genetics
Molecular Biology

Background:

DNA barcoding is crucial for species identification.
Traditional bioinformatics analysis requires technical expertise and software installation.
Accessible tools are needed to integrate bioinformatics into educational settings.

Purpose of the Study:

To present DNA Subway's DNA barcoding analysis workflow (Blue Line).
To demonstrate how DNA Subway facilitates classroom-friendly bioinformatic analysis.
To enable users to perform complex analyses without command-line knowledge.

Main Methods:

Utilizing DNA Subway's integrated bioinformatics software and user-friendly interface.
Processing Sanger sequence reads through a defined workflow.
Performing sequence quality checks, read pairing, alignment, and consensus sequence generation.
Conducting BLAST searches, reference data selection, multiple sequence alignment, and phylogenetic tree computation.

Main Results:

Successful execution of a comprehensive DNA barcoding analysis workflow.
Generation of high-quality DNA barcode sequences and phylogenetic trees.
Facilitation of data submission to NCBI GenBank for public accessibility.

Conclusions:

DNA Subway effectively makes DNA barcoding analysis accessible for educational purposes.
The platform eliminates the need for software installation and command-line proficiency.
It empowers users to conduct robust bioinformatic analyses and contribute data to public repositories.