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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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Related Experiment Video

Updated: Jun 23, 2025

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

MetaCompass: Reference-guided Assembly of Metagenomes.

Tu Luan^1,2, Victoria Cepeda^1,2, Bo Liu^1,2

¹Department of Computer Science, University of Maryland, College Park, Maryland, USA.

|June 21, 2024

Summary

This summary is machine-generated.

Reference-guided assembly is introduced for metagenomics, improving gene and genome reconstruction from microbial communities. This novel approach complements existing de novo methods, especially as more reference genomes become available.

Keywords:

comparative assembly low coverage assembly metagenome assembly microbiome

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Last Updated: Jun 23, 2025

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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Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Published on: October 15, 2019

Area of Science:

Microbial genomics
Bioinformatics
Metagenomics

Background:

Metagenomic studies traditionally use de novo assembly for microbial community analysis.
Reference-guided assembly is common for single organisms but not yet applied to metagenomes.

Purpose of the Study:

To introduce the first effective reference-guided metagenomic assembly approach.
To demonstrate its utility in complementing and enhancing de novo assembly.

Main Methods:

Development of a novel reference-guided assembly algorithm for metagenomic data.
Evaluation of the approach's performance in reconstructing genes and genomes from microbial mixtures.

Main Results:

The proposed method effectively performs reference-guided metagenomic assembly.
It shows potential to improve upon de novo assembly for specific organisms within a metagenome.

Conclusions:

Reference-guided assembly is a viable and valuable addition to metagenomic analysis.
Its utility will increase with the growing availability of sequenced genomes.