Previous IMPC Data Release 20.0 Notes

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IMPC

  • Release: 20.0
  • Published: 21st November 2023

Statistical Package

Genome Assembly

Summary

  • Number of phenotyped genes: 8,707
  • Number of phenotyped mutant lines: 9,393
  • Number of phenotype calls: 104,530

Data access

  • Ftp interface: ftp
  • RESTful interfaces: APIs

Highlights

Data release 20.0

Release notes:

Represents a major data release.
This release includes

  • Approximately 2.4 million more data points.
  • An additional 1604 phenotype calls.
  • Revised subviable calls to use percentage based call rather than a P-value for the IMPC primary viability screen version 2. Specifically a line is classed as subviable when less than 50% of expected homozygous and hemizygous pups are born. This has resulted in some changes to the viability calls from DR19.1:
    • 252 lines previously designated subviable are now classified as viable.
    • 11 lines previously designated viable are now classified as subviable.
  • Procedures where no more data can be collected but the number of animals does not meet the n-number criteria of analysing males and females for the proceedure have been included in the release. Please see the accompanying news article for more information.

Data Reports

Total Number of Lines and Specimens in DR 20.0

Phenotyping Center Mutant Lines Baseline Mice Mutant Mice
TCP 750 9,153 30,414
JAX 1,998 15,503 57,597
HMGU 504 6,516 9,773
CCP-IMG 313 3,313 5,749
MRC Harwell 846 7,535 20,699
MARC 233 1,858 3,588
KMPC 95 2,625 3,186
RBRC 113 2,163 2,602
ICS 239 2,619 3,882
WTSI 1,621 5,364 18,660
UC Davis 1,546 9,323 39,090
BCM 1,136 9,227 33,938

Experimental Data and Quality Checks

Data Type QC Passed Data Points
categorical 25,648,927
image record 779,372
time series 26,929,803
ontological 1,919,099
text 583,002
unidimensional 22,387,315

* Excluded from statistical analysis.

Distribution of Phenotype Annotations

Production Status

Overall

By Center

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More charts and status information are available from our mouse tracking service GenTaR.

Phenotype Associations

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Trends

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