Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Sanger Sequencing

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...

Next-generation Sequencing

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.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Challenges and recommendations in establishing national human diversity genomic projects.

Nature methods·2026

Same author

Correction to: Searching for shared epigenetic clocks: evaluating ultra‑conserved markers in a de novo genome assembly of the albacore tuna.

GeroScience·2026

Same author

DNA methylation profiles at hospital admission are associated with subsequent severe COVID-19 outcomes.

Clinical epigenetics·2026

Same author

Determining the age of single cells using scMLEAge.

bioRxiv : the preprint server for biology·2026

Same author

Cytomegalovirus serostatus and plasma MCP-1 levels are associated with antibody response to seasonal influenza vaccine across age and sex.

medRxiv : the preprint server for health sciences·2026

Same author

Searching for shared epigenetic clocks: evaluating ultra-conserved markers in a de novo genome assembly of the albacore tuna.

GeroScience·2026

Same journal

NanoporeDB: A Structural Resource Of Multimeric Protein Nanopores For Single-Molecule Sensing.

GigaScience·2026

Same journal

From the Brain Cell Atlas to Precision Neurology: A review of the application of AI-driven multi-omics in brain science.

GigaScience·2026

Same journal

Comparison of Deep Learning Approaches for Extreme Low-SNR Image Restoration.

GigaScience·2026

Same journal

ScopeViewer: A Browser-Based Solution for Visualizing Large Biological Images.

GigaScience·2026

Same journal

ChatMDV: Reducing Technical Barriers in Bioinformatics Analysis using Large Language Models.

GigaScience·2026

Same journal

ClusterGraph: a new tool for visualisation and compression of multidimensional data.

GigaScience·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 20, 2026

DNA Methylation: Bisulphite Modification and Analysis

DNA Methylation: Bisulphite Modification and Analysis

Published on: October 21, 2011

BiSulfite Bolt: A bisulfite sequencing analysis platform.

Colin Farrell¹, Michael Thompson², Anela Tosevska²

¹Department of Human Genetics, University of California, 695 Charles E Young Dr S, Los Angeles, CA 90095, USA.

|May 9, 2021

Summary

This summary is machine-generated.

BiSulfite Bolt (BSBolt) is a new platform for processing bisulfite sequencing data. It offers fast, accurate DNA methylation analysis and outperforms existing tools.

More Related Videos

Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution

Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution

Published on: February 24, 2015

Targeted DNA Methylation Analysis by Next-generation Sequencing

Targeted DNA Methylation Analysis by Next-generation Sequencing

Published on: February 24, 2015

Related Experiment Videos

Last Updated: Jun 20, 2026

DNA Methylation: Bisulphite Modification and Analysis

DNA Methylation: Bisulphite Modification and Analysis

Published on: October 21, 2011

Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution

Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution

Published on: February 24, 2015

Targeted DNA Methylation Analysis by Next-generation Sequencing

Targeted DNA Methylation Analysis by Next-generation Sequencing

Published on: February 24, 2015

Area of Science:

Genomics
Bioinformatics

Background:

Bisulfite sequencing is crucial for measuring DNA methylation.
Processing bisulfite sequencing data presents computational challenges, including mapping difficulties and a lack of unified toolsets.

Purpose of the Study:

To develop a fast and scalable platform for bisulfite sequencing data analysis.
To address the computational demands and processing inefficiencies in bisulfite sequencing data analysis.

Main Methods:

Developed BiSulfite Bolt (BSBolt), a Python package and command-line utility.
Implemented a pre-alignment sequencing read assessment step for improved efficiency.
Evaluated BSBolt using simulated and real bisulfite sequencing libraries.

Main Results:

BSBolt provides accurate and fast bisulfite sequencing alignments and methylation calls.
BSBolt demonstrated superior performance compared to Bismark, BSSeeker2, BISCUIT, and BWA-Meth in alignment and methylation calling accuracy.

Conclusions:

BSBolt streamlines bisulfite sequencing data processing with an integrated toolset.
The platform supports simulation, alignment, methylation calling, and data aggregation.
BSBolt enhances the efficiency and accuracy of DNA methylation analysis.