Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

836
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...
836
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.8K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.8K
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

705
Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
705
Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes

11.5K
The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
11.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Rethinking bioinformatics expertise in the era of artificial intelligence.

NPJ digital medicine·2026
Same author

Enhancing protein structure prediction: evaluating the role of amino acid physicochemical features in homology search.

Briefings in bioinformatics·2026
Same author

Protrec2: tissue-specific network-based missing protein recovery method.

Briefings in bioinformatics·2025
Same author

Establishing the Asia & Pacific Bioinformatics Joint Congress: a historic milestone in regional bioinformatics collaboration.

Briefings in bioinformatics·2025
Same author

Comprehensive benchmarking of methods for mutation calling in circulating tumor DNA.

Nature communications·2025
Same author

Efficient trace reconstruction in DNA storage systems using bidirectional beam search.

iScience·2025

Related Experiment Video

Updated: May 2, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.1K

eCAMBer: efficient support for large-scale comparative analysis of multiple bacterial strains.

Michal Wozniak1, Limsoon Wong, Jerzy Tiuryn

  • 1Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warsaw, Poland. m.wozniak@mimuw.edu.pl.

BMC Bioinformatics
|March 7, 2014
PubMed
Summary

Annotation inconsistencies in bacterial genomes are common and hard to detect. We developed eCAMBer, a tool that efficiently identifies and resolves these issues, improving genome annotation accuracy and outperforming existing methods.

More Related Videos

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

46.1K
Precise, High-throughput Analysis of Bacterial Growth
09:00

Precise, High-throughput Analysis of Bacterial Growth

Published on: September 19, 2017

23.8K

Related Experiment Videos

Last Updated: May 2, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.1K
Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

46.1K
Precise, High-throughput Analysis of Bacterial Growth
09:00

Precise, High-throughput Analysis of Bacterial Growth

Published on: September 19, 2017

23.8K

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Bacterial genome annotations exhibit frequent inconsistencies, often due to incorrect gene starts or misidentified gene presence, not sequence variations.
  • Existing tools lack the efficiency and accuracy needed to address these annotation discrepancies across multiple bacterial strains.

Purpose of the Study:

  • To develop an efficient computational tool for improving the consistency and accuracy of bacterial genome annotations.
  • To enable robust comparative analysis of numerous bacterial strains within the same species.

Main Methods:

  • Developed eCAMBer, an optimized tool for comparative analysis of large bacterial strain datasets.
  • eCAMBer operates in two phases: gene annotation transfer and homologous gene family identification, followed by resolution of gene start inconsistencies and filtering of annotation errors.

Main Results:

  • eCAMBer successfully transfers gene annotations and identifies homologous gene families across hundreds of bacterial strains.
  • The tool effectively resolves gene start inconsistencies and filters out annotation errors, enhancing overall annotation quality.
  • eCAMBer demonstrates superior performance in both running time and annotation accuracy compared to competing tools.

Conclusions:

  • eCAMBer provides an efficient solution for identifying and resolving annotation inconsistencies in closely related bacterial genomes.
  • The software offers improved accuracy and speed for bacterial genome annotation, aiding comparative genomics research.
  • The eCAMBer tool, manual, and results are publicly available for broader scientific use.