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Related Experiment Video

Updated: May 8, 2026

A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells

A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells

Published on: October 28, 2025

Badger--an accessible genome exploration environment.

Ben Elsworth¹, Martin Jones, Mark Blaxter

¹Institute of Evolutionary Biology, University of Edinburgh, West Mains Road, Edinburgh EH9 3JT, UK.

Bioinformatics (Oxford, England)

|August 14, 2013

Summary

This summary is machine-generated.

Generating high-quality genomes is now accessible. Badger offers a user-friendly environment for exploring next-generation non-model organism genomes, simplifying data accessibility.

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Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Genome sequencing and assembly costs have decreased significantly, making high-quality draft genome generation more feasible.
Developing user-friendly, searchable web interfaces and databases for newly annotated genomes remains a challenge.

Purpose of the Study:

To present Badger, a novel genome exploration environment.
To provide an accessible solution for non-model organism genome data management and exploration.

Main Methods:

Badger is designed as a lightweight and easy-to-install system.
The environment facilitates the creation of searchable websites and databases for genomic data.

Main Results:

Badger simplifies the process of making newly annotated genomes accessible.
Demonstrated utility with a test dataset and four filarial nematode genomes.

Conclusions:

Badger addresses the challenge of creating user-friendly interfaces for next-generation genomes.
This tool enhances the accessibility and exploration of genomic data, particularly for non-model organisms.