Published July 15, 2025 | Version v3

Timeseries and novelty assessment for Open Targets Platform

  • 1. ROR icon European Bioinformatics Institute

Description

New release with timestamp annotations for biomedical evidence in the Open Targets Platform (25.03) and a novelty score for target-disease associations. Timestamps include the primary source date or curation date of the evidence. The evolution over the years of source-specific association scores, overall association scores and novelty scores are calculated for each year based on the accumulated timestamped evidence. Direct evidence was propagated through the disease ontology to obtain indirect evidence files. The files are in parquet format. For more details, read Falaguera et al. preprint "Temporal trends in novel drug target discovery reveal the increasing importance of human genetic data" or visit https://github.com/opentargets/timeseries/. Files provided here are:

evidence_dated: Biomedical evidence annotated with their timestamps, including primary source date or curation date.

association_by_datasource_dated: Evolution of source-specific target-disease association scores and novelty over the years based on timestamped evidence.

association_by_datasource_dated_indirect: Evolution of source-specific target-disease association scores and novelty over the years based on timestamped evidence after disease ontolgy propagation.

association_by_overall_dated: Evolution of overall target-disease association scores and novelty over the years based on timestamped evidence.

association_by_overall_dated_indirect: Evolution of overall target-disease association scores and novelty over the years based on timestamped evidence after disease ontolgy propagation.

Files

association_by_datasource_dated.zip

Files (5.8 GB)

Name Size
md5:96e872c8f0ea227327ab9e52a5b5581f
484.8 MB Preview Download
md5:5018ca21c4256affed9600cf50d1e09d
2.0 GB Preview Download
md5:7ef5c291b0875d5cb69e3067f1cf8c90
464.8 MB Preview Download
md5:5942f159df0eb57c5a2ad10080296491
1.6 GB Preview Download
md5:8efb17d3c02db5a252291fad12d62422
1.2 GB Preview Download

Additional details

Dates

Updated
2025-07-15

Software

Repository URL
https://github.com/opentargets/timeseries
Programming language
Python
Development Status
Active