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Genomics

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Related Experiment Video

Updated: Feb 5, 2026

Isolation and Genome Analysis of Single Virions using 'Single Virus Genomics'

Isolation and Genome Analysis of Single Virions using 'Single Virus Genomics'

Published on: May 26, 2013

Umap and Bismap: quantifying genome and methylome mappability.

Mehran Karimzadeh^1,2,3, Carl Ernst⁴, Anshul Kundaje^5,6

¹Princess Margaret Cancer Centre, M5G 1L7, Toronto, ON, Canada.

Nucleic Acids Research

|September 1, 2018

Summary

Sequencing data reliability depends on genome mappability. Umap and Bismap software accurately identify uniquely mappable regions in standard and bisulfite-converted genomes, improving genomic and epigenomic analyses.

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Last Updated: Feb 5, 2026

Isolation and Genome Analysis of Single Virions using 'Single Virus Genomics'

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Published on: May 26, 2013

Exploring the Arginine Methylome by Nuclear Magnetic Resonance Spectroscopy

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Area of Science:

Genomics
Bioinformatics
Epigenetics

Background:

Short-read sequencing is crucial for analyzing genomic and epigenomic traits.
Genome mappability, the uniqueness of read mapping, affects data reliability.
Bisulfite sequencing for DNA methylation analysis introduces mapping challenges.

Purpose of the Study:

To develop software for assessing genome mappability.
To identify uniquely mappable regions in standard and bisulfite-converted genomes.
To improve the accuracy of genomic and epigenomic analyses.

Main Methods:

Introduction of Umap software for standard genome mappability.
Development of Bismap extension for bisulfite-converted genome mappability.
Creation of track hubs for human and mouse genome assemblies.

Main Results:

Umap software accurately identifies uniquely mappable regions.
Bismap extension addresses mappability issues in bisulfite sequencing data.
Track hubs provide accessible mappability data for major genome assemblies.

Conclusions:

Accurate mappability assessment is essential for reliable genomic and epigenomic data analysis.
Umap and Bismap software provide crucial tools for addressing mappability challenges.
Accessible track hubs facilitate the use of mappability data in genome browsers.