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CTTIR develops open-source software, reproducible analysis pipelines, and educational materials at the interface of trauma surgery, tissue injury, and computational biomedicine. Our work spans biomarker discovery, multi-modal imaging, dimensionality reduction, molecular pathology, and clinical-translational data science.
R Packages
Statistical and analytical R packages developed and maintained by CTTIR, grouped by theme.
Auditor live-evaluation dashboard for haematological oncology cohorts — quality/coverage indicators, OPS-coded complex-therapy and diagnostics counts, Kaplan–Meier, oncoprint, and cytogenetics summaries in an interactive Shiny app
Offline-first Progressive Web App for collecting questionnaire responses in research and field settings — exports sessions as QR codes or CSV / XLSX / TXT / XML
Cross-platform desktop launchpad for R/Shiny apps — opens packaged apps, Shiny files, or hosted URLs each in its own native window while R runs headless
Zotero Plugins
Plugins that extend Zotero for curated, reproducible reference management.
Most repositories carry an MIT license and a CITATION.cff file. Please cite the specific package or repository you use — see each repo's README.md for the canonical citation.
For questions, contributions, or collaboration enquiries, open an issue on the relevant repository.
Unified R platform for molecular pathology data — parse NGS files (VCF, BAM, FASTQ), XML/PDF reports, and clinical data into a queryable database with an interactive Shiny app for clinical explorat…
Unified R platform for molecular pathology data — parse NGS files (VCF, BAM, FASTQ), XML/PDF reports, and clinical data into a queryable database with an interactive Shiny app for clinical exploration and visualization.