| Genome Biology | |
| Pathway information extracted from 25 years of pathway figures | |
| Anders Riutta1  Kristina Hanspers1  Alexander R. Pico1  Martina Summer-Kutmon2  | |
| [1] Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA, USA;Maastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, The Netherlands;Department of Bioinformatics - BiGCaT, NUTRIM, Maastricht University, Maastricht, The Netherlands; | |
| 关键词: Pathways; Figures; Literature; OCR; Gene sets; | |
| DOI : 10.1186/s13059-020-02181-2 | |
| 来源: Springer | |
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【 摘 要 】
Thousands of pathway diagrams are published each year as static figures inaccessible to computational queries and analyses. Using a combination of machine learning, optical character recognition, and manual curation, we identified 64,643 pathway figures published between 1995 and 2019 and extracted 1,112,551 instances of human genes, comprising 13,464 unique NCBI genes, participating in a wide variety of biological processes. This collection represents an order of magnitude more genes than found in the text of the same papers, and thousands of genes missing from other pathway databases, thus presenting new opportunities for discovery and research.
【 授权许可】
CC BY
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202104281870753ZK.pdf | 1734KB |
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