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Advanced data curation in GTRD database: hierarchical dictionaries of cell types and experimental factors

Authors :
Fedor Kolpakov
Mikhail A. Kulyashov
Ivan S. Yevshin
Semyon K. Kolmykov
Source :
2020 Cognitive Sciences, Genomics and Bioinformatics (CSGB).
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

GEO database contains a lot of different experiments about transcription regulation. Most part of such experiments (ChIP-seq, DNase-seq and Histone-ChIP-seq) for 9 species (Homo sapiens, Mus musculus, Rattus norvegicus, Danio rerio, Caenorhabditis elegans, Drosophila melanogaster, Saccharomyces cerevisiae, Schizosaccharomyces pombe and Arabidopsis thaliana) were annotated and uniformly processed in GTRD database. Here we are describing the latest advances in these data annotations for GTRD database to formalize experimental data: hierarchical dictionaries of cell types and experimental factors. This approach helps us to integrate experimental data by cell lines (cell types and tissues) and experimental conditions as well as simplifies searching for relevant information for a user.

Details

Database :
OpenAIRE
Journal :
2020 Cognitive Sciences, Genomics and Bioinformatics (CSGB)
Accession number :
edsair.doi...........b135e5b034b3d5b4fe8e8c9534212f5f
Full Text :
https://doi.org/10.1109/csgb51356.2020.9214681