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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....

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Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.

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The Nucleosome

Human DNA is almost two meters long. However, it is compressed inside a tiny nucleus measuring only a few microns in diameter. To make this degree of compaction possible, DNA is organized into several sequential levels so that it can fit into such a tiny space. The most compact form of DNA is a chromosome that can be seen under a microscope in a dividing cell.
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The Nucleosome

The Nucleosome

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DNA in a human cell is almost 2m long and it is packed inside a tiny nucleus that is only a few microns in diameter. The level of compaction of DNA inside the nucleus is astonishing. It is organized into several sequentially higher levels of compaction to fit into such a tiny space. The most compact form of DNA is a chromosome that can be seen under a microscope in a dividing cell.
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Related Experiment Video

Updated: Apr 13, 2026

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq

Published on: October 5, 2018

NucVoter: A Voting Algorithm for Reliable Nucleosome Prediction Using Next-Generation Sequencing Data.

¹Institute of Molecular Medicine and Genetics, Georgia Regents University, Augusta, GA 30912, USA.

ISRN Bioinformatics

|May 5, 2015

Summary

This summary is machine-generated.

Predicting nucleosome locations is challenging. A new NucVoter algorithm uses multiple models to reliably identify nucleosome positions, significantly improving prediction accuracy for gene regulation studies.

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Last Updated: Apr 13, 2026

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq

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Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

Nucleosomes, DNA wrapped around histone octamers, are crucial for gene regulation by controlling DNA accessibility.
Their dynamic structure (location, size, occupancy) can change, impacting gene expression.
Accurate prediction of nucleosome genomic locations is essential but difficult using current next-generation sequencing data.

Purpose of the Study:

To develop a novel and reliable algorithm for predicting the genomic locations of nucleosomes.
To overcome the limitations of existing next-generation sequencing methods in precisely determining nucleosome positions.

Main Methods:

Proposed a novel voting algorithm named NucVoter.
Employed multiple predictive models to identify consensus nucleosome placement areas.
Utilized a highest priority model to verify predicted nucleosome locations.

Main Results:

NucVoter demonstrates significantly improved performance in nucleosome location prediction.
The algorithm enhances the reliability of identifying nucleosome positions compared to existing methods.
Consensus areas identified by multiple models increase prediction accuracy.

Conclusions:

NucVoter offers a robust solution for accurately predicting nucleosome genomic locations.
This advancement aids in understanding nucleosome dynamics and their role in gene regulation.
Improved nucleosome prediction facilitates further research in epigenetics and genomics.