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Related Concept Videos

Genome Annotation and Assembly

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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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.
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Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...

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Related Experiment Video

Updated: May 20, 2026

Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies

Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies

Published on: August 20, 2021

Finished bacterial genomes from shotgun sequence data.

Filipe J Ribeiro¹, Dariusz Przybylski, Shuangye Yin

¹Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.

Genome Research

|July 26, 2012

Summary

This summary is machine-generated.

Researchers can now achieve high-quality bacterial genome assemblies faster and cheaper. A new method using whole-genome shotgun data and automated computation significantly reduces costs and time for microbial genomics.

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Published on: March 22, 2018

Related Experiment Videos

Last Updated: May 20, 2026

Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies

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Published on: August 20, 2021

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Published on: December 22, 2014

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

Published on: March 22, 2018

Area of Science:

Microbial genomics
Bioinformatics
Computational biology

Background:

High-quality genome reference sequences are crucial for microbial research.
Traditional bacterial genome assembly is costly and time-consuming, often taking months to years.

Purpose of the Study:

To develop a more efficient and cost-effective method for bacterial genome assembly.
To demonstrate that finished-quality genome assemblies can be achieved using automated computation and a novel laboratory design.

Main Methods:

Application of a new laboratory design to 16 microbial samples.
Utilization of a novel genome assembly algorithm.
Analysis of whole-genome shotgun data through automated computation.

Main Results:

Achieved bacterial genome assemblies exceeding "finished" quality standards.
Significantly reduced the time and cost associated with genome assembly.
Demonstrated the effectiveness of the new approach on multiple samples.

Conclusions:

The new method offers a dramatic reduction in cost and time for producing high-quality bacterial genome assemblies.
This approach democratizes access to finished-quality microbial genomes, accelerating research.
Automated computation and innovative laboratory design are key to efficient genomic data analysis.