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Related Concept Videos

Protein Networks02:26

Protein Networks

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Genome-wide Association Studies-GWAS01:11

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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.
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Cis-regulatory Sequences02:02

Cis-regulatory Sequences

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Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
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Related Experiment Video

Updated: Jul 1, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Resistance Gene Association and Inference Network (ReGAIN): A Bioinformatics Pipeline for Assessing Probabilistic

Elijah R Bring Horvath1,2, Mathew G Stein1,2,3,4,5, Matthew A Mulvey3,4

  • 1Department of Pharmacology and Toxicology, University of Utah, Salt Lake City, Utah, 84112, United States.

Biorxiv : the Preprint Server for Biology
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Summary

Multidrug-resistant (MDR) pathogens require new tools. The novel Resistance Gene Association and Inference Network (ReGAIN) platform maps complex antimicrobial resistance gene networks in bacteria.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • The increasing prevalence of multidrug-resistant (MDR) bacterial pathogens presents a significant global health challenge.
  • Existing genomic tools primarily focus on detecting individual resistance genes, leaving a gap in understanding their co-occurrence patterns within specific organisms.
  • Comprehending these patterns is crucial for developing effective strategies against MDR infections.

Conclusions:

  • ReGAIN provides novel insights into the dynamics of antimicrobial resistance and MDR phenotypes.
  • Enriches the analysis of bacterial resistomes by mapping gene networks.
  • Offers a comprehensive tool for understanding gene relationships impacting disease and treatment outcomes.