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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: Aug 10, 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

The omnitig framework can improve genome assembly contiguity in practice.

Sebastian Schmidt¹, Santeri Toivonen¹, Paul Medvedev^2,3,4

¹University of Helsinki, Finland.

Biorxiv : the Preprint Server for Biology

|February 13, 2023

Summary

This study bridges genome assembly theory and practice by integrating a simplified omnitig algorithm into existing software. This improves genome contiguity with minimal computational cost and few misassemblies.

Keywords:

HiFi sequencing data assembly evaluation genome assembly omnitigs safe-and-complete framework

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Last Updated: Aug 10, 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

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

Novel Sequence Discovery by Subtractive Genomics

Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

Bridging the gap between theoretical genome assembly frameworks and practical software implementation.
Addressing the limitations of existing assemblers lacking theoretical accuracy guarantees.
Highlighting the need for robust algorithms applicable to real-world genomic data.

Approach:

Integrating the theoretical safe-and-complete framework into existing genome assemblers.
Developing an efficient algorithm for computing simplified omnitigs, addressing complexity and robustness issues.
Modifying wtdbg2 and Flye assemblers by replacing their unitig algorithm with the simplified omnitig approach.

Key Points:

Demonstrated safety of simplified omnitigs under specific conditions.
Achieved substantial improvements in alignment-based contiguity using HiFi data.
Showcased negligible computational overhead and minimal increase in misassemblies.

Conclusions:

The simplified omnitig algorithm effectively enhances genome assembly contiguity.
Integration into practical assemblers offers a viable solution to theoretical-practical discrepancies.
This approach provides a pathway for more accurate and robust genome assembly pipelines.