Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Evolutionary Relationships through Genome Comparisons

Evolutionary Relationships through Genome Comparisons

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...

You might also read

Related Articles

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

Sort by

Same author

Computational prediction resolves thousands of homooligomeric phage protein structures.

bioRxiv : the preprint server for biology·2026

Same author

<i>agtools</i>: a software framework to manipulate assembly graphs.

Bioinformatics advances·2026

Same author

Co-migration of hundreds of microbial species over metres drives selection and promotes non-motile hitchhikers.

Nature communications·2026

Same author

The honey bee triad: a comprehensive catalogue of phages in the Apis mellifera gut microbiome.

Nature communications·2026

Same author

piqtree: a python package for seamless phylogenetic inference with IQ-TREE.

Molecular biology and evolution·2026

Same author

Interactions of Mucus Monosaccharides and the Epidermal Microbiome in Four Benthic Elasmobranchs.

Environmental microbiology reports·2026

Same journal

STED: flexible cross-modal topic modeling infers cell-type-specific regulatory landscapes from bulk epigenomics.

Briefings in bioinformatics·2026

Same journal

A knowledge-guided deep learning framework for quantitative nucleic acid testing.

Briefings in bioinformatics·2026

Same journal

Optimal transport for label transfer in single-cell multi-omics integration.

Briefings in bioinformatics·2026

Same journal

Continuous multi-omics pathway enrichment analysis resolves hidden functional heterogeneity.

Briefings in bioinformatics·2026

Same journal

Evaluating completeness, coherence, and consistency of genome-scale function annotations.

Briefings in bioinformatics·2026

Same journal

Transformers for single-cell RNA sequencing: a survey.

Briefings in bioinformatics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 18, 2025

Metagenomic Analysis of Silage

Metagenomic Analysis of Silage

Published on: January 13, 2017

Solving genomic puzzles: computational methods for metagenomic binning.

Vijini Mallawaarachchi¹, Anuradha Wickramarachchi², Hansheng Xue³

¹Flinders Accelerator for Microbiome Exploration, College of Science and Engineering, Flinders University, Adelaide, SA 5042, Australia.

Briefings in Bioinformatics

|July 31, 2024

Summary

This summary is machine-generated.

Metagenomic binning analyzes microbial DNA from environments to group sequences. This review explores computational tools for binning, aiding the study of microbial communities and genome recovery.

Keywords:

bioinformatics metagenomic binning metagenomics microorganisms

More Related Videos

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

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

Published on: December 7, 2021

Efficient Nucleic Acid Extraction and 16S rRNA Gene Sequencing for Bacterial Community Characterization

Efficient Nucleic Acid Extraction and 16S rRNA Gene Sequencing for Bacterial Community Characterization

Published on: April 14, 2016

Related Experiment Videos

Last Updated: Jun 18, 2025

Metagenomic Analysis of Silage

Metagenomic Analysis of Silage

Published on: January 13, 2017

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

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

Published on: December 7, 2021

Efficient Nucleic Acid Extraction and 16S rRNA Gene Sequencing for Bacterial Community Characterization

Efficient Nucleic Acid Extraction and 16S rRNA Gene Sequencing for Bacterial Community Characterization

Published on: April 14, 2016

Area of Science:

Microbiology
Genomics
Bioinformatics

Background:

Metagenomics studies microbial communities directly from environmental samples.
Understanding microbial community structure, diversity, and ecology is crucial.
Metagenomic binning is a key step for analyzing sequenced microbial DNA.

Purpose of the Study:

To classify and analyze various metagenomic binning approaches.
To review refinement, visualization, and evaluation techniques in binning.
To identify current challenges and future research directions in metagenomic binning.

Main Methods:

Review of existing computational tools and algorithms for metagenomic binning.
Analysis of different strategies for clustering sequences into bins.
Examination of methods for assessing bin quality and utility.

Main Results:

Several computational tools automate metagenomic binning, enabling draft genome recovery.
Different binning approaches offer varying levels of resolution and accuracy.
Refinement, visualization, and evaluation techniques are essential for reliable binning.

Conclusions:

Metagenomic binning is vital for microbial genomics and ecological studies.
Advancements in binning tools facilitate the discovery of novel microorganisms.
Addressing current challenges will improve the accuracy and scope of metagenomic analyses.