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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...
Evolution of Microbial Genome01:08

Evolution of Microbial Genome

Microbial genome evolution is a highly dynamic process shaped by continual gene gain and loss across species and strains. This genomic flexibility allows microorganisms to adapt rapidly to environmental pressures and interactions with other organisms. Central to understanding this diversity is the distinction between the core and pan genomes.The core genome comprises the genes shared by all sampled strains of a species, representing essential functions needed for fundamental cellular processes.
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...
Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.
Introduction to the Human Microbiota01:22

Introduction to the Human Microbiota

Microorganisms colonize various regions of the human body, including the mouth, nasal passages, throat, stomach, intestines, urogenital tract, and skin. The total number of microbial cells is estimated to range from 10¹³ to 10¹⁴—comparable to, or exceeding, the number of human somatic cells. This host–microbiome relationship has led to the conceptualization of humans as supraorganisms, wherein microbial communities perform vital roles in development, immunity, and disease...

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Updated: May 26, 2026

Metagenomic Analysis of Silage
08:43

Metagenomic Analysis of Silage

Published on: January 13, 2017

From genomics to metagenomics.

Narayan Desai1, Dion Antonopoulos, Jack A Gilbert

  • 1Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL 60439, USA.

Current Opinion in Biotechnology
|January 10, 2012
PubMed
Summary
This summary is machine-generated.

Next-generation sequencing advanced metagenomics, but computational analysis remains a challenge. Current research focuses on reducing computational costs and improving tool interoperability for microbial community analysis.

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Last Updated: May 26, 2026

Metagenomic Analysis of Silage
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Published on: January 13, 2017

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Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons
10:24

Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons

Published on: August 29, 2014

Area of Science:

  • Microbiology
  • Bioinformatics
  • Genomics

Background:

  • Next-generation sequencing (NGS) technologies have revolutionized metagenomics research.
  • However, the primary bottleneck in metagenomic studies has shifted from DNA sequencing to computational analysis and data interpretation.
  • Existing bioinformatics tools, often adapted from clonal genomics, present limitations for analyzing complex microbial communities.

Purpose of the Study:

  • To address the computational challenges in metagenomic data analysis.
  • To explore strategies for reducing computational costs in metagenomics.
  • To highlight the importance of data sharing and tool interoperability.

Main Methods:

  • Review of current trends in metagenomic data analysis.
  • Focus on algorithmic improvements and analysis strategies.
  • Emphasis on data sharing and interoperability protocols.

Main Results:

  • Computational cost is a significant barrier in metagenomics.
  • Tool limitations due to adaptation from clonal genomics hinder microbial community analysis.
  • Reducing computational burden is a key trend in the field.

Conclusions:

  • Improved algorithms and analysis strategies are crucial for efficient metagenomics.
  • Enhanced data sharing and interoperability are essential for handling high computational demands.
  • Overcoming computational bottlenecks is vital for advancing microbial community research.