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GuilhemSempere edited this page Sep 3, 2021 · 21 revisions

Welcome to the Gigwa2 wiki!

Latest version may be tested online at https://gigwa.southgreen.fr/

Source code repository for v2.x: https://github.com/SouthGreenPlatform/Gigwa2

v2.4.1 is available on Gigwa homepage as of september 3rd, 2021:

Changes in v2.4.1:

  • Importing using as many threads as available cores (faster!)
  • Now storing sequence length when provided in VCF (and this able to re-export it)
  • Fixed a major bug (introduced in v2.4) making variant genotypes appear several times when exporting from multi-project databases
  • Solved miscellaneous minor issues

v2.4 is available on Gigwa homepage as of august 6th, 2021:

⚠️ Don't use v2.4, it contains a bug: please use v2.4.1 instead!

Changes in v2.4:

  • Speed improvements in variant search, density chart calculation and (especially) export procedures
  • Ability to export individuals' metadata (when available) along with genotyping data
  • Made group discrimination feature available regardless of selected genotype patterns
  • Integrated Flapjack-Bytes prototype for online visualization of datasets exported into Flapjack format
  • Allowed feeding individual's metadata from multiple BrAPI (V1) sources at a time
  • Implementation of BrAPI V2 calls covering pretty much the entire Gigwa data model
  • Migrated Swagger interface to Springfox3
  • Showing host name for each existing database in the administration section
  • Various bugfixes
  • Upgraded several prime Java dependencies (Spring-data, MongoDB driver, htsjdk...) and third-party software for bundles (JRE v8u291, Tomcat v8.5.66, MongoDB v4.2.15)

NB: As of v2.4, in Docker images and bundles, default WiredTiger compression algorithm is zstd rather than zlib (configured in startGigwa.* scripts)


v2.3 is available on Gigwa homepage as of march 25th, 2020:

New in v2.3:

  • Added feature to import individual metadata from BrAPI v1 sources (via germplasm + attributes related calls, see documentation for details)
  • Added an experimental BrAPI v2 server implementation
  • Implemented additional BrAPI v1 calls: GET germplasm, GET URL_GERMPLASM_ATTRIBUTES
  • Added Docker containers (see docker-compose.yml)
  • Added an updateGigwa script to bundles, that comes in handy to upgrade the web application without affecting configuration files
  • Added unit tests to make sure not to break query engine when implementing new features
  • Various bugfixes
  • NB1: As of v2.3 the --directoryperdb option is set by default when launching MongoDB. Please refer to https://docs.mongodb.com/manual/reference/configuration-options/#storage.directoryPerDB if you need to migrate existing data (alternatively, you may disable that option in docker-compose.yml for Docker or in the startGigwa script for bundles)
  • NB2: As of v2.3, in bundles, tomcat and mongodb binaries' folders are named just "tomcat" and "mongodb" (no more version numbers). This will help keep startGigwa / stopGigwa scripts consistent across future releases.

v2.2 is available for download on Gigwa homepage as of july 15th, 2019:

v2.2 provides much faster hapmap import and allows any authentified user to add his own metadata! By upgrading MongoDB version from 4.0.4 to 4.0.10, it also becomes compatible with curl4


v2.1 is available for download on Gigwa homepage as of may 17th, 2019:

v2.1 fixes various bugs and features a query-bookmarking functionality! It also allows to define import and export size limits more conveniently (refer to maxImportSize and maxSearchableBillionGenotypes properties in the docs: for both of them a default setting may now be used in conjunction with settings specific to each user)


v2.0 is available for download on Gigwa homepage as of february 27th, 2019:

Because of modifications in the data structure, v2 is incompatible with data imported using previous versions

v2 is faster, more robust, and adds lots of new functionalities. Documentation is now embedded in the web-application


Gigwa v1 wiki is available at https://github.com/SouthGreenPlatform/gigwa/wiki

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