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Updated: Jun 10, 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

From complete genome sequence to 'complete' understanding?

Michael Y Galperin¹, Eugene V Koonin

¹National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA. galperin@ncbi.nlm.nih.gov

Trends in Biotechnology

|July 22, 2010

Summary

This summary is machine-generated.

Genomic data is growing fast, but understanding gene function lags behind. Protein family classification offers more robust functional assignments than overly specific gene annotations for advancing biological insights.

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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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Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

Genome sequencing accelerates, creating a gap with functional characterization.
Genomic analysis offers insights but faces challenges in deep biological understanding.

Purpose of the Study:

To address the need for more genomes and assess the depth of biological understanding from genomic analysis.
To evaluate the utility of gene function annotations versus protein family classifications.
To discuss challenges in understanding conserved hypothetical genes.

Main Methods:

Comparative analysis of gene function annotation strategies.
Evaluation of protein family classification for functional genomics.
Review of current challenges in genomic data interpretation.

Main Results:

Generic functional assignments based on protein families are more robust than overly specific gene annotations.
A significant gap persists between genome sequencing speed and functional characterization.
Understanding conserved hypothetical genes remains a key challenge in genomics.

Conclusions:

Prioritizing robust functional assignments aids biological understanding.
Addressing the genomics-functionality gap is crucial for biological discovery.
Further research is needed to elucidate the roles of conserved hypothetical proteins.