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

Methods to Assess Microbial Populations01:30

Methods to Assess Microbial Populations

Assessing microbial populations is crucial for understanding microbial roles in health, ecology, and industry. Various complementary techniques—both culture-based and molecular—enable detailed analysis of microbial abundance, diversity, and function.Viable Plate CountThe viable plate count is a traditional culture-based method used to estimate the number of living microbes in a sample. After serial dilution, the sample is spread onto nutrient agar plates. Each viable cell forms a visible...
Methods to Assess Microbial Communities01:19

Methods to Assess Microbial Communities

Microbial communities, comprising bacteria, archaea, and eukaryotic microorganisms, inhabit diverse ecosystems and play crucial roles in environmental and biological processes. Their diversity is defined by three main parameters: species richness (the number of distinct species), species abundance (the relative quantity of each species), and species evenness (how uniformly individual species are distributed in various locations). These factors together shape the structure and ecological balance...
Automated Microbial Diagnostics01:24

Automated Microbial Diagnostics

Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...

You might also read

Related Articles

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

Sort by
Same author

Vertical stratification and distribution patterns of the ARG resistome in Fuxian Lake: Insights from a global baseline.

Journal of hazardous materials·2026
Same author

Cross-domain transfer of trehalose biosynthesis genes contributes to adaptation in high-altitude environments.

National science review·2026
Same author

Label-free, single-cell-precise, and monomeric-unit-resolved monitoring of biopolymer fermentation by ramanomics.

Trends in biotechnology·2026
Same author

RamEx: an R package for high-throughput microbial ramanome analyses with accurate quality assessment.

Microbiome·2026
Same author

Metagenomic research on the structural difference of plaque microbiome from different caries stages and the construction of a caries diagnostic model.

mSystems·2025
Same author

Single-cell rapid identification, in situ viability and vitality profiling, and genome-based source-tracking for probiotics products.

iMeta·2024
Same journal

Spinal cord injury induces acute microbiome shock and system-wide transcriptomic reprogramming.

iMeta·2026
Same journal

Chondroitin sulfate restores muscle mass via gut-muscle axis remodeling through sugar-bile acid metabolism reprogramming.

iMeta·2026
Same journal

A large-scale single-cell transcriptomic atlas indicates the immune panorama of influenza A infection.

iMeta·2026
Same journal

Accu16S/AccuITS: Accurate and broadly applicable amplicon sequencing for absolute microbiome quantification.

iMeta·2026
Same journal

Chromatin unwinding state for in situ identification and lineage tracing of circulating tumor cells.

iMeta·2026
Same journal

Two stable gut microbiome guilds predict liver tumor class and treatment responses.

iMeta·2026
See all related articles

Related Experiment Video

Updated: May 8, 2026

A Method to Define the Effects of Environmental Enrichment on Colon Microbiome Biodiversity in a Mouse Colon Tumor Model
08:14

A Method to Define the Effects of Environmental Enrichment on Colon Microbiome Biodiversity in a Mouse Colon Tumor Model

Published on: February 28, 2018

8.8K

Parallel-Meta Suite: Interactive and rapid microbiome data analysis on multiple platforms.

Yuzhu Chen1, Jian Li1, Yufeng Zhang1

  • 1College of Computer Science and Technology Qingdao University Qingdao Shandong China.

Imeta
|June 13, 2024
PubMed
Summary
This summary is machine-generated.

Parallel-Meta Suite (PMS) offers fast, user-friendly microbiome analysis for researchers. This interactive software package efficiently processes large datasets, making complex microbial data accessible and interpretable for diverse users.

Keywords:
microbiomemultiplatformparallel computingvisualizationworkflow

More Related Videos

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
11:22

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Published on: October 15, 2019

27.9K
High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
14:58

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

Published on: March 5, 2022

4.2K

Related Experiment Videos

Last Updated: May 8, 2026

A Method to Define the Effects of Environmental Enrichment on Colon Microbiome Biodiversity in a Mouse Colon Tumor Model
08:14

A Method to Define the Effects of Environmental Enrichment on Colon Microbiome Biodiversity in a Mouse Colon Tumor Model

Published on: February 28, 2018

8.8K
Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
11:22

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Published on: October 15, 2019

27.9K
High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
14:58

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

Published on: March 5, 2022

4.2K

Area of Science:

  • Microbiology
  • Bioinformatics
  • Computational Biology

Background:

  • Vast amounts of microbiome sequencing data are available, revealing links between microbial communities and environmental factors like host health and ecosystem dynamics.
  • Deciphering this complex microbial data requires advanced bioinformatics tools, but many existing solutions are not accessible to non-expert users.
  • Processing large-scale microbiome datasets presents significant computational challenges, often creating bottlenecks in analytical pipelines.

Purpose of the Study:

  • To introduce Parallel-Meta Suite (PMS), an interactive software package designed for efficient and comprehensive microbiome data analysis.
  • To provide a user-friendly graphical interface that simplifies data preprocessing, statistical analysis, and visualization for a wide range of users.
  • To address the computational demands of large-scale microbiome datasets through optimized parallel computing.

Main Methods:

  • Development of an interactive software package, Parallel-Meta Suite (PMS), featuring a graphical user interface.
  • Implementation of a parallel computing scheme to optimize processing speed for large datasets.
  • Integration of state-of-the-art algorithms for data preprocessing, statistical analysis, and visualization.

Main Results:

  • PMS enables fast and comprehensive analysis, visualization, and interpretation of microbiome data.
  • The software's user-friendly interface makes advanced microbiome analysis accessible to nonprofessional users.
  • The parallel computing architecture allows for the rapid processing of thousands of samples, overcoming computational bottlenecks.

Conclusions:

  • Parallel-Meta Suite (PMS) is a powerful, accessible tool for microbiome data analysis, suitable for both expert and non-expert users.
  • PMS effectively addresses the need for user-friendly and computationally efficient solutions in microbiome research.
  • The software's multi-platform compatibility and automated installation enhance its utility and adoption in diverse research settings.