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LEAFDATA: a literature-curated database for Arabidopsis leaf development.

Dóra Szakonyi1

  • 1Instituto Gulbenkian de Ciência, 2780-156 Oeiras, Portugal.

Plant Methods
|February 18, 2016
PubMed
Summary

LEAFDATA is a new database that organizes information on Arabidopsis leaf growth from scientific literature. It aids researchers by providing searchable data on genes and publications, supporting plant science discoveries.

Keywords:
Arabidopsis thalianaDatabaseLeaf developmentManual literature curation

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Area of Science:

  • Plant Biology
  • Genomics
  • Bioinformatics

Background:

  • Biological databases are crucial for accessing and organizing vast scientific data in the post-genomic era.
  • Understanding leaf development is vital for plant growth and ecosystem health.
  • Arabidopsis thaliana is a key model organism for plant science research.

Purpose of the Study:

  • To create an accessible and searchable web tool for Arabidopsis leaf literature.
  • To curate and organize existing knowledge on leaf formation and growth.
  • To facilitate novel discoveries in plant biology.

Main Methods:

  • Developed LEAFDATA, a web tool compiling curated statements from scientific publications.
  • Included 13,553 categorized statements from 380 publications.
  • Enabled searching by gene identifiers (Arabidopsis Genome Initiative), PubMed IDs, authors, and keywords.

Main Results:

  • LEAFDATA provides detailed annotations and records for approximately 1600 individual loci.
  • Searchable entries are curated from a large volume of scientific literature.
  • Results include publication details, text fragments, and links to PubMed.

Conclusions:

  • LEAFDATA offers valuable, searchable access to curated plant science literature.
  • The database's detailed annotations and extensive records benefit the plant research community.
  • It serves as a key resource for studying leaf development in Arabidopsis.