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Related Concept Videos

Schemas01:42

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A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
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The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
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The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

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GeneMANIA update 2018.

Max Franz1, Harold Rodriguez1, Christian Lopes1

  • 1The Donnelly Centre, University of Toronto, Ontario, Canada.

Nucleic Acids Research
|June 19, 2018
PubMed
Summary
This summary is machine-generated.

GeneMANIA is a web tool that helps researchers generate hypotheses about gene function and prioritize genes for study. It analyzes gene lists and predicts gene function using extensive genomics and proteomics data across nine species.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Understanding gene function is crucial for biological research.
  • Prioritizing genes for functional assays requires efficient analytical tools.
  • Existing tools may lack flexibility or comprehensive data integration.

Purpose of the Study:

  • To introduce GeneMANIA, a web-based platform for gene function hypothesis generation and gene list analysis.
  • To provide a user-friendly interface for exploring gene interactions and functional relationships.
  • To support gene function prediction and prioritization for experimental validation.

Main Methods:

  • Utilizes a large-scale integration of genomics and proteomics interaction data.
  • Employs a weighting system for functional genomic datasets based on predictive value.
  • Supports gene function prediction by identifying genes with shared interaction networks.
  • Incorporates Gene Ontology (GO) enrichment analysis for functional annotation.

Main Results:

  • GeneMANIA effectively identifies functionally similar genes for query gene lists.
  • It enables accurate prediction of gene function based on interaction networks.
  • The platform supports nine model organisms and integrates numerous public and user-uploaded datasets.
  • Recent updates have improved the user interface for enhanced usability and device compatibility.

Conclusions:

  • GeneMANIA is a versatile and powerful tool for biological research, aiding in gene function discovery and prioritization.
  • Its comprehensive data integration and flexible querying capabilities make it valuable for hypothesis generation.
  • The updated interface enhances accessibility and efficiency for researchers across various devices.