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Releases: PGScatalog/fraposa_pgsc

v1.0.2

08 Aug 15:35
@nebfield nebfield
v1.0.2
4f30716
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v1.0.2 Latest
Latest

What's Changed

  • Remove FID replacement command, leave that to output by @smlmbrt in #20

Full Changelog: v1.0.1...v1.0.2

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smlmbrt
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v1.0.1

08 Aug 12:36
@nebfield nebfield
v1.0.1
2c6af1f
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v1.0.1

Changelog

  • Fix FID/IID filtering exclusive numeric IDs in v1.0.1 by @smlmbrt in #18

Full Changelog: v1.0.0...v1.0.1

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smlmbrt
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v1.0.0

22 Jul 15:25
@nebfield nebfield
v1.0.0
6c62aa5
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v1.0.0

Changelog

  • Use FID and IID when working with sample IDs by @nebfield in #17

Full Changelog: v0.1.1...v1.0.0

Warning

There's a breaking change to the CLI parameter --stu_filt_iid, which now expects a file in plink fam format to support FID & IIDs

Contributors

nebfield
Assets 2
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v0.1.1

17 Jun 13:51
@nebfield nebfield
v0.1.1
1d91814
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v0.1.1

Changelog

  • Add homepage to pyproject.toml by @smlmbrt in #12
  • Patch v0.1.1 by @nebfield in #14
    • Fix broken scripts fraposa_pred and fraposa_plot
    • Update vulnerable dependencies
    • Drop shell scripts (superceded by pgscatalog-utils) from package
    • Move to src layout
  • Update README.md by @nebfield in #15

Full Changelog: v0.1.0...v0.1.1

Contributors

smlmbrt and nebfield
Assets 2
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v0.1.0

26 Jul 14:44
@nebfield nebfield
v0.1.0
4901a20
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v0.1.0

The first release of our fork, which is integrated with pgsc_calc.

Our main aim for the fork is to improve functionality when processing data at scale, e.g. on 500,000 genomes at UK Biobank, and perform QC to make sure that the variants are identical (and oriented correctly) between the reference dataset and the study population you are projecting.

Improvements:

  • Variant QC: added checks and minor fixes for variant matching, orientation, and sort order of ref/study variants to ensure results are consistent between the reference and study datasets
  • refactor original scripts into python package
  • added end to end test with pytest
  • support batch-processing study samples without splitting the original dataset into multiple file (useful to parallelise large datasets)

Fixes:

  • make output PCs have consistent precision
  • deduplicate outputs when projecting study samples after the PCA space has been derived
Assets 2
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