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Releases: opentargets/evidence_datasource_parsers

Evidence parsers for the 24.12 Platform release

13 Nov 12:05
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New Contributors

Full Changelog: 2.3.1...2.4.0

Evidence parsers for the 24.06 Platform release

21 May 12:06
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New features:

  • feat: import_trait_mappings reads disease curation from configIl 2907 by @ireneisdoomed in #178
  • Feature: Updating Project score datasource by @DSuveges in #186
  • feat: updating ot crispr parser to handle replicate screens by @DSuveges in #187
  • feat(burden): drop evidence on categorical traits by @ireneisdoomed in #196
  • feat(burden): update AZ config to newer release + include associations from synonymous models by @ireneisdoomed in #195
  • feat: add links to the AZ evidence + other release things by @ireneisdoomed in #199
  • Adding gene essentiality parser by @DSuveges in #159

Fixes and refactors:

  • chore(safety): remove human applicability flag by @ireneisdoomed in #189
  • refactor (genetics parser): changing logic how QTLs processed by @DSuveges in #190
  • refactor(Gene2Phenotype): making code agnostic about the number of panels provided by @DSuveges in #194
  • chore(configuration): adding new panelapp file to configuration by @DSuveges in #197

Updated dependencies:

Full Changelog: 2.3.0...2.3.1

Evidence parsers for the 23.12 release

21 Oct 14:09
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  • New parser: Direct ingestion of GTEx V8 for preparation of baseline expression data by @tskir in #172
  • Changes for Platform release 23.12 by @tskir in #175

Full Changelog: 2.2.0...2.3.0

Evidence parsers for the 23.09 release

25 Sep 08:25
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Full Changelog: 2.1.1...2.2.0

Evidence parsers for release 23.02

27 Jan 19:54
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Full Changelog: 2.1.0...2.1.1

Evidence parsers for release 22.09

09 Sep 16:44
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Quite many smaller changes since the past release, however the gene burden parser is a new module.

What's Changed

Full Changelog: 2.0.0...2.1.0

Support for new schema + Snakemake pipeline

30 Nov 17:03
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Large number of significant changes were rolled out in this release.

  • All parsers were re-written to support the slimmed-down evidence schema. The supported schema in this release: v.2.10
  • New evidence parsers were added: Orphanet, CancerBiomarkers, EPMC
  • New datatype: the phenodigm parser now generates the mouse model dataset for the target annotation as well
  • New datatype: the target enabling packages (TEP) target annotation dataset
  • All parsers were collated into a single Snakemake pipeline, that generates, validates the output against the schema then uploads to the storage location
  • The running environment was cleaned to make the requirements more manageable and easier to reproduce
  • The documentation of the repo now updated to reflect all these changes and now provides instructions on how to create a suitable VM instance and how to run the pipeline. Individual parsers are no longer described in the readme, to more information on those, please look for docstrings

1.0.1

11 Jan 13:05
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Small changes to PhenoDigm parser and related files:

  • gz extension added to output file as it is compressed.
  • README update to explain that the last step in MouseModels.py (-w) may fail if the main step and the upload are run on different days because the date is automatically added to the file name.

1.0.0

07 Jan 18:16
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Production version containing the necessary modules to parse the data from our internal datasources. This version corresponds to the usage of the JSON schema up to its version 1.7.5.