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ABSTRACT: Background
Modern genome sequencing leads to an ever-growing collection of genomic annotations. Combining these elements with a set of input regions (e.g. genes) would yield new insights in genomic associations, such as those involved in gene regulation. The required data are scattered across different databases making a manual approach tiresome, unpractical, and prone to error. Semi-automatic approaches require programming skills in data parsing, processing, overlap calculation, and visualization, which most biomedical researchers lack. Our aim was to develop an automated tool providing all necessary algorithms, benefiting both bioinformaticians and researchers without bioinformatic training.Results
We developed overlapping annotated genomic regions (OGRE) as a comprehensi
SUBMITTER: Berres S
PROVIDER: S-EPMC10369718 | biostudies-literature | 2023 Jul
REPOSITORIES: biostudies-literature