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Related Concept Videos

Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

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...
Evolutionary Relationships through Genome Comparisons02:54

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...
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

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...
Genome Annotation and Assembly03:36

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.
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.

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Related Experiment Video

Updated: Jun 10, 2026

Metagenomic Analysis of Silage
08:43

Metagenomic Analysis of Silage

Published on: January 13, 2017

Metagenomics: Facts and Artifacts, and Computational Challenges*

John C Wooley1, Yuzhen Ye

  • 1Center for Research on BioSystems, Calit2, UC San Diego, La Jolla CA 92093.

Journal of Computer Science and Technology
|September 28, 2011
PubMed
Summary

Metagenomics, the study of environmental microbes, faces challenges from data artifacts that can skew results. This review discusses these issues and emerging computational solutions for accurate microbial community analysis.

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Last Updated: Jun 10, 2026

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Area of Science:

  • Microbiology
  • Environmental Science
  • Bioinformatics

Background:

  • Metagenomics analyzes microbial communities directly from environments, revolutionizing microbiology and related fields.
  • It enables study of unculturable and unknown microbes, impacting ecology, environmental science, and biomedicine.
  • Computational tools are vital for analyzing and comparing metagenomic data.

Purpose of the Study:

  • To review common artifacts in metagenomic data.
  • To discuss emerging computational approaches for addressing these artifacts.
  • To highlight challenges associated with next-generation sequencing (NGS) in metagenomics.

Main Methods:

  • Review of existing literature on metagenomic data artifacts.
  • Discussion of computational and statistical methods for artifact detection and correction.
  • Analysis of challenges posed by next-generation sequencing (NGS) technologies.

Main Results:

  • Identified artifacts include overestimation of species diversity and incorrect gene family frequencies.
  • Emerging computational approaches aim to mitigate these data inaccuracies.
  • Next-generation sequencing (NGS) presents new challenges for metagenomic data analysis.

Conclusions:

  • Addressing data artifacts is crucial for accurate metagenomic interpretation.
  • Advanced computational strategies are needed to overcome limitations in experimental protocols and analysis.
  • Careful consideration of NGS-related challenges is necessary for the future of metagenomics.