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Related Concept Videos

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...
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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: May 21, 2026

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

Published on: January 10, 2025

Using Galaxy to perform large-scale interactive data analyses.

Jennifer Hillman-Jackson1, Dave Clements2, Daniel Blankenberg1

  • 1Penn State University, University Park, Pennsylvania.

Current Protocols in Bioinformatics
|June 16, 2012
PubMed
Summary
This summary is machine-generated.

Galaxy simplifies complex genomic data analysis for researchers. This web application provides easy access to bioinformatics tools, making high-throughput data analysis accessible beyond computational specialists.

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Last Updated: May 21, 2026

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

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Biomedical research generates large genomic and high-throughput datasets.
  • Data analysis setup and use present significant challenges for experimental biologists.
  • Access to specialized informatics tools is often limited to computational experts.

Purpose of the Study:

  • To present Galaxy as a solution for simplifying genomic data acquisition and analysis.
  • To demonstrate how Galaxy provides accessible bioinformatics tools for all researchers.
  • To showcase Galaxy's integration of data retrieval and analysis functionalities.

Main Methods:

  • Galaxy as an intuitive Web application.
  • Integration of data retrieval from public and private sources (e.g., UCSC Genome Browsers).
  • Inclusion of custom tools (Unix functions, format standardization) and third-party analysis tools.

Main Results:

  • Galaxy simplifies the process of acquiring and analyzing large biological datasets.
  • It democratizes access to advanced informatics tools for experimental biologists.
  • Demonstrated utility through biomedically relevant protocols.

Conclusions:

  • Galaxy empowers researchers by providing a user-friendly platform for complex data analysis.
  • It bridges the gap between experimental biology and computational informatics.
  • Facilitates broader and more efficient utilization of genomic data in research.