Affiliation:
1. Evidence Synthesis and Classification Branch, International Agency for Research on Cancer, World Health Organization , Lyon 69372 CEDEX 08, France
Abstract
Abstract
Motivation
The evaluation of chemicals for their carcinogenic hazard requires the analysis of a wide range of data and the characterization of these results relative to the key characteristics of carcinogens. The workflow used historically requires many manual steps that are labor-intensive and can introduce errors, bias and inconsistencies.
Results
The automation of parts of the evaluation workflow using the kc-hits software has led to significant improvements in process efficiency, as well as more consistent and comprehensive results.
Availability and implementation
https://gitlab.com/i1650/kc-hits.git.
Supplementary information
Supplementary data are available at Bioinformatics online.
Funder
National Institutes of Health and National Cancer Institute
IARC Monographs programme
NIH
Publisher
Oxford University Press (OUP)
Subject
Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献