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TranscriptoScope Windows v0.4.9

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@Shettima123 Shettima123 released this 13 Jul 06:40

TranscriptoScope v0.4.9 adds a standalone Windows installer while preserving the application and analytical behavior from v0.4.8.

Recommended download:

  • TranscriptoScope_Windows_Store_v0.4.9.exe is the easiest installation option. It bundles R 4.6.0 and the required R/CRAN/Bioconductor package library, so a separate R installation is not required.
  • TranscriptoScope_Windows_v0.4.9.zip remains available as the smaller manual-install alternative for users who already have R.

Installer validation:

  • Built with Inno Setup 6.7.3 for x64-compatible Windows systems.
  • Bundles 107 package dependencies, including DESeq2, fgsea, WGCNA, Shiny, ggplot2, and readxl.
  • Installed successfully for the current user under a path containing spaces.
  • Passed the bundled package preflight using only the private R runtime and private package library.
  • Passed the complete developer smoke analysis for raw counts, normalized expression, fold-change modes, ORA, ranked pathway analysis, and WGCNA.
  • Launched the local Shiny application successfully and reported version 0.4.9.
  • Uninstalled cleanly.
  • Contains no KEGG cache files and no development log files.

Important Windows note:

  • The EXE is not currently code-signed. Windows SmartScreen may show an unknown-publisher warning. Download it only from this official release and verify the accompanying SHA-256 checksum before running it.

Scientific scope:

  • This is a distribution-only release. It does not change the DESeq2, ORA, fgsea, or WGCNA statistical calculations in v0.4.8.
  • The analytical workflows retain the validation evidence documented for v0.4.7 and the smoke-tested input/interface improvements released in v0.4.8.

Licensing and resources:

  • The MIT license applies to TranscriptoScope source code and project-authored documentation only. Bundled R and package dependencies retain their own licenses.
  • KEGG-derived cache files are not bundled. Optional KEGG workflows use user-initiated KEGG REST access and local caching.

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