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Related Concept Videos

Genomics02:02

Genomics

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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...
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Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

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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...
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Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes

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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...
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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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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...
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Genomic DNA in Prokaryotes00:46

Genomic DNA in Prokaryotes

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The genome of most prokaryotic organisms consists of double-stranded DNA organized into one circular chromosome in a region of cytoplasm called the nucleoid. The chromosome is tightly wound, or supercoiled, for efficient storage. Prokaryotes also contain other circular pieces of DNA called plasmids. These plasmids are smaller than the chromosome and often carry genes that confer adaptive functions, such as antibiotic resistance.
Genomic Diversity in Bacteria
Although bacterial genomes are much...
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Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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Related Experiment Video

Updated: Dec 3, 2025

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
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A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease

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MDACP: A Pathogen Genome and Metagenome Analysis Cloud Platform.

Na Han1,2, Jiaojiao Miao1,2, Tingting Zhang1,2

  • 1State Key Laboratory for Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, National Institute for Communicable Disease Control and Prevention, Beijing, China.

Frontiers in Genetics
|October 28, 2020
PubMed
Summary

The Microbial Data Analysis Cloud Platform (MDACP) simplifies pathogen genetic analysis for researchers lacking bioinformatics expertise. This cloud-based tool enables rapid microbial data mining for disease control and public health surveillance.

Keywords:
analysis cloud platformgenomemicroorganismpathogenweb resource

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Next-generation sequencing (NGS) is crucial for pathogen analysis in clinical diagnosis, public health surveillance, and outbreak investigations.
  • Researchers often face challenges with large datasets and command-line tools due to limited bioinformatics background, time, or infrastructure.

Purpose of the Study:

  • To develop a user-friendly, cloud-based platform for efficient pathogenic microorganism data analysis.
  • To enable researchers without specialized bioinformatics training to perform complex genetic data mining.

Main Methods:

  • Development of the Microbial Data Analysis Cloud Platform (MDACP), a web service system utilizing Docker.
  • Implementation of a graphical user interface for data submission, parameter control, and parallel task execution.
  • Focus on pathogen-specific analysis with continuous development of new processes based on user needs.

Main Results:

  • MDACP provides a safe, professional, and efficient platform for rapid microbial data mining, including candidate pathogen detection, genome typing, and traceability.
  • The platform allows researchers to conduct bioinformatic analyses without coding, promoting further research and big data utilization in disease control.
  • Facilitates data analysis and management for researchers, aiding clinicians and disease control personnel in pathogen identification, classification, and traceability.

Conclusions:

  • MDACP democratizes advanced pathogen genetic analysis, empowering a wider range of researchers.
  • The platform significantly enhances the efficiency and accessibility of microbial data analysis for public health and clinical applications.