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Metadata are what makes databases searchable. Without them, researchers would have difficulty finding data with features they are interested in. Brain imaging genetics is at the intersection of two disciplines, each with dedicated dictionaries and ontologies facilitating data search and analysis. Here, we present the genetics Brain Imaging Data Structure extension, consisting of metadata files for human brain imaging data to which they are linked, and describe succinctly the genomic and transcriptomic data associated with them, which may be in different databases. This extension will facilitate identifying micro-scale molecular features that are linked to macro-scale imaging repositories, facilitating data aggregation across studies.

Original publication

DOI

10.1093/gigascience/giaa104

Type

Journal article

Journal

Gigascience

Publication Date

17/10/2020

Volume

9

Keywords

Brain Imaging Data Structure, genomics, human brain imaging, transcriptomics