kc-hits
kc-hits automates the evaluation and classification of chemical carcinogens to characterize their carcinogenic potential by integrating diverse data sources.
Key Features:
- Automation: Automates evaluation steps to reduce manual intervention and potential human error.
- Efficiency Improvements: Processes large datasets to improve throughput and consistency of results.
- Comprehensive Analysis: Integrates diverse data types relevant to carcinogenic evaluation to consider key characteristics of potential carcinogens.
Scientific Applications:
- Toxicological carcinogen assessment: Applied in toxicology to assess carcinogenic hazards of chemical substances and to inform regulatory and research decision-making.
Methodology:
Implements a systematic automated workflow that characterizes chemicals based on carcinogenic potential through integration of various data sources and automated analysis techniques.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- workflow
- Operating Systems:
- Windows
- Programming Languages:
- Python
- Added:
- 6/28/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Reisfeld B, de Conti A, El Ghissassi F, Benbrahim-Tallaa L, Gwinn W, Grosse Y, Schubauer-Berigan M. kc-hits: a tool to aid in the evaluation and classification of chemical carcinogens. Bioinformatics. 2022;38(10):2961-2962. doi:10.1093/bioinformatics/btac189. PMID:35561175. PMCID:PMC9306747.
PMID: 35561175
PMCID: PMC9306747
Funding: - National Institutes of Health and National Cancer Institute: NIH-NCI U01CA033193