Table 3 Long list of targets identified from structured and unstructured sources. Asthma relevant document count was the total number of documents/studies identified from the given target source and target count was the total number of targets identified from the given number of documents.
From: In-silico identification and prioritization of therapeutic targets of asthma
Data type | Target source | Asthma relevant documents counts | Target count | |
|---|---|---|---|---|
Ontosight® Discover (unstructured data) | Scientific publications | 329,583 | 2805 | |
Clinical trials | 13,602 | 122 | ||
Patent documents | 96,840 | 1366 | ||
Grants | 27,699 | 826 | ||
Congresses | 29,597 | 1007 | ||
News and press | 911,605 | 767 | ||
Theses | 2442 | 344 | ||
Genomics data | Genomic database (structured data) | ClinVar database | 43,363 | 14 |
Disgenet database | 366,315 | 681 | ||
GWAS central | 216,070 | 1484 | ||
GWAS | 176,271 | 753 | ||
Genomic raw data (from GWAS and Microarray analysis) | Mutation analysis targets | 559,063 | 7690 | |
Expression analysis targets | 46,708 | 560 | ||
Total | 2,819,158 | 18,419 | ||
