There are numerous online databases dedicated to genes associated with human diseases.The redundancy and lack of consistency of disease terms in these databases pose a significant impediment in high throughput data an...There are numerous online databases dedicated to genes associated with human diseases.The redundancy and lack of consistency of disease terms in these databases pose a significant impediment in high throughput data analysis.To address this,we developed GeDiPNet by compiling data available on gene-disease associations from six popular open access sources namely DisGeNET,1 ClinGen.展开更多
基金This work(No.RA/1170/11–2021)was supported by grants received from the Department of Biotechnology,India(No.BT/PR40165/BTIS/137/12/2021)Science and Engineering Research Board,India(No.STR/2020/000034).
文摘There are numerous online databases dedicated to genes associated with human diseases.The redundancy and lack of consistency of disease terms in these databases pose a significant impediment in high throughput data analysis.To address this,we developed GeDiPNet by compiling data available on gene-disease associations from six popular open access sources namely DisGeNET,1 ClinGen.
