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import { Meta } from '@storybook/addon-docs/blocks'

Intermine Data Browser

The goal of this project is to implement a faceted search tool to display the data from InterMine database, allowing the users to search easily within the different mines available around InterMine without the requirement of having an extensive knowledge of the data model.

For the project organization, please refer to InterMine

Quick Links

Required Ontology Concepts (per mine) for each filter

Filter Ontology Concepts
GO Annotation goAnnotation.ontologyTerm.name
Dataset Name dataSets.name
Pathway Name pathways.name
Organism short name Gene.organism.shortName
Location locations.start + locations.end + locations.locatedOn.primaryIdentifier
Diseases (OMIM) diseases.name
ClinVar alleles.clinicalSignificance + alleles.type
Protein Localisation proteinAtlasExpression.cellType + proteinAtlasExpression.tissue.name + proteinAtlasExpression.expressionType + proteinAtlasExpression.level + proteinAtlasExpression.reliability
Protein Domain Name proteins.proteinDomainRegions.proteinDomain.name
Interactions interactions.participant2.symbol + interactions.details.type + interactions.details.dataSets.name
Expression atlasExpression.pValue + atlasExpression.tStatistic + atlasExpression.expression + atlasExpression.dataSets.name

Contributing Guidelines

  1. Find a thing to fix/implement in Issues or come up with your own idea, create a discussion issue for it and get a feedback.

  2. Fork the repository.

  3. Create your new feature branch.

   git checkout -b my-new-feature
  1. Install the packages.

This project uses yarn berry for package management. Make sure to have it globally installed before proceeding.

npm install -g yarn

If you run yarn -v, the version displayed will be v1*. Yet, this project will automatically use v2 berry.

  1. Commit your changes.
git commit -am 'Add some feature
  1. Push to the newly created feature branch.
git push origin my-new-feature
  1. Create a new Pull Request

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InterMine Data Browser: a tool for exploring semi-homogeneous biological datasets

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