Using GEM: Genome Editing Meta-database to find genome editing related metadata extracted from PubMed literatures

Genome Editing Meta-database (GEM) is a genome editing metadatabase developed to comprehensively collect metadata related to past genome editing experiments (an original paper). The GEM is systematically extracted via specialized text-mining from PubMed and PubMed Central (PMC) literatures that contain experiments involving the use of the seven types of genome editing tools. A dataset consisting of 50,162 entries of metadata based on 15,952 studies with 1,088 species was constructed and can be searched and retrieved graphically in the GEM web interface.

見どころダイジェスト

  • 00:10 1. Introduction to GEM
  • 01:04 2. Use GEM to search for “base editor” related information based on studies published in 2021
  • 02:03 3. Metadata types the current GEM can provide
  • 03:15 4. Use GEM to search for genome editing cases in tomatoes
  • 04:15 5. Search the entire dataset
  • 04:44 6. Access GitHub to download the scripts

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