generated: '2026-08-23' method: searched source: >- Searched npm (registry.npmjs.org search + registry metadata), PyPI (pypi.org/pypi//json), and the company's public GitHub organization https://github.com/ksqtx via the GitHub API on 2026-08-23. note: >- KSQ Therapeutics publishes no API client library, because it publishes no API. It does publish first-party open-source bioinformatics code in its own GitHub organization, and that is what is recorded here. Nothing below is an SDK, so NO SDKs pointer is emitted in apis.yml — wiring one would fire the sdk_count ergonomics checks for client libraries that do not exist. sdk_count: 0 registry_search: - registry: npm query: ksq therapeutics result: no first-party package status: 200 - registry: pypi probed: https://pypi.org/pypi/ksq/json status: 404 - registry: pypi probed: https://pypi.org/pypi/trace/json status: 404 note: The name the TRACE repo declares in pyproject.toml is unclaimed on PyPI. - registry: pypi probed: https://pypi.org/pypi/tracepy/json status: 200 note: >- NOT KSQ. pypi.org/project/tracepy is "Optical design software for python" by Gavin Niendorf (github.com/GNiendorf/tracepy), last released 2025-02-03. It shares the import package name declared in the KSQ repo and is unrelated. Recorded here so a future pass does not misattribute it. packages: - language: python registry: source name: trace import_package: tracepy url: https://github.com/ksqtx/TRACE install: pip install git+https://github.com/ksqtx/TRACE.git version: 0.1.0 published: null official: true license: GPL-3.0 (repository) / MIT (declared in pyproject.toml — the two disagree) description: >- TRACE — Tumor Reactivity Assessment using Clonal Expression. A machine-learning system for single-cell RNA-seq classification, built on scanpy/anndata, scikit-learn, XGBoost, Optuna, SHAP and MLflow, with a 13-command Click CLI. Directly adjacent to KSQ's eTIL programs. note: >- version 0.1.0 read from pyproject.toml at github.com/ksqtx/TRACE@main on 2026-08-23. published is null because this package has never been released to any registry — there is no metadata endpoint to query and no tagged release on the repository, so a consumer can only install from a git ref. Last commit pushed 2026-04-14. Note the repository's [project.urls] block still points at github.com/trace/trace and its author metadata reads "TRACE Team " — unfilled template placeholders, not KSQ contact details. Ownership rests on the repo living in the ksqtx organization (github.com/ksqtx, org display name "KSQ Therapeutics") and on the subject matter matching KSQ's published eTIL work; it is NOT asserted from the pyproject metadata. - language: r registry: source name: HRD-predictions-cell-lines url: https://github.com/ksqtx/HRD-predictions-cell-lines install: git clone https://github.com/ksqtx/HRD-predictions-cell-lines.git version: null published: null official: true license: GPL-3.0 description: >- Data and R code accompanying "Pan-cancer Analysis of Homologous Recombination Deficiency in Cell Lines" — CHORD predictions and HRDsum scores. note: >- version null: this is a paper companion repository, not a packaged library. It has no DESCRIPTION, no version field and no registry release, so there is nothing to read and nothing to guess. Last pushed 2024-06-26. forks_not_packages: - gatk - nf-core-rnaseq - airrflow - farver - shinyTree - ksqShinyTree - awesome-microsoft-copilot-prompts forks_note: >- The remaining seven repositories in github.com/ksqtx are forks of third-party projects (Broad Institute GATK, nf-core pipelines, R utility packages, a prompt library). They are not KSQ software and are not recorded as packages.