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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.

RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...

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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Updated: May 11, 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

Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data.

Chen-Shan Chin¹, David H Alexander, Patrick Marks

¹Pacific Biosciences, Menlo Park, California, USA.

|May 7, 2013

Summary

We developed a Hierarchical Genome-Assembly Process (HGAP) for high-quality microbial genome assembly using Single Molecule, Real-Time (SMRT) sequencing. This method efficiently resolves complex genomic regions and achieves high accuracy without requiring error-corrected reads.

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Last Updated: May 11, 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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Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Ultra-long Read Sequencing for Whole Genomic DNA Analysis

Published on: March 15, 2019

Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

De novo microbial genome assembly is crucial for understanding microbial biology and evolution.
Existing assembly methods often struggle with complex genomic structures like repeat regions.
Long-read sequencing technologies offer potential for improved genome assembly.

Purpose of the Study:

To present a novel Hierarchical Genome-Assembly Process (HGAP) for high-quality de novo microbial genome assembly.
To demonstrate the efficiency and accuracy of HGAP using Single Molecule, Real-Time (SMRT) DNA sequencing.
To showcase HGAP's capability in resolving long repeat regions and achieving high consensus accuracy.

Main Methods:

Utilized a single, long-insert shotgun DNA library with SMRT DNA sequencing.
Employed longest reads as seeds for recruiting other reads and constructing accurate preassembled reads via a directed acyclic graph (DAG)-based consensus.
Applied off-the-shelf long-read assemblers post-preassembly and incorporated SMRT sequencing primary quality values for consensus generation.

Main Results:

Achieved efficient genome assembly for several microorganisms using minimal SMRT Cell resources (as few as three).
Successfully assembled bacterial artificial chromosomes (BACs) using only one SMRT Cell.
Demonstrated the resolution of long repeat regions within microbial genomes.
Produced de novo genome sequences exceeding 99.999% accuracy by incorporating SMRT quality values.

Conclusions:

HGAP provides a robust and efficient workflow for high-quality de novo microbial genome assembly.
The method overcomes limitations of hybrid approaches by not requiring highly accurate raw reads.
HGAP, combined with SMRT sequencing, offers a powerful tool for microbial genomics research, enabling accurate assembly even with challenging genomic features.