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Expanding and Remixing the Metadata Landscape

Authors :
Hippen, Ariel A.
Greene, Casey S.
Source :
Trends in Cancer; April 2021, Vol. 7 Issue: 4 p276-278, 3p
Publication Year :
2021

Abstract

Genomic data sharing accelerates research. Data are most valuable when they are accompanied by detailed metadata. To date, metadata are often human-annotated descriptions of samples and their handling. We discuss how machine learning-derived elements complement such descriptions to enhance the research ecosystem around genomic data.

Details

Language :
English
ISSN :
24058033
Volume :
7
Issue :
4
Database :
Supplemental Index
Journal :
Trends in Cancer
Publication Type :
Periodical
Accession number :
ejs54559358
Full Text :
https://doi.org/10.1016/j.trecan.2020.10.011