2020
Issues of Z-factor and an approach to avoid them for quality control in high-throughput screening studies
Zhang X, Wang D, Sun S, Zhang H. Issues of Z-factor and an approach to avoid them for quality control in high-throughput screening studies. Bioinformatics 2020, 36: 5299-5303. PMID: 33346821, DOI: 10.1093/bioinformatics/btaa1049.Peer-Reviewed Original Research
2017
modSaRa: a computationally efficient R package for CNV identification
Xiao F, Niu Y, Hao N, Xu Y, Jin Z, Zhang H. modSaRa: a computationally efficient R package for CNV identification. Bioinformatics 2017, 33: 2384-2385. PMID: 28453611, PMCID: PMC5860124, DOI: 10.1093/bioinformatics/btx212.Peer-Reviewed Original ResearchConceptsComputational complexityHigh computational complexityR packageOptimal computational complexityUser-friendly R packageEfficient R packageSupplementary dataCurrent versionComputational algorithmDesirable accuracyComplexityPackageComprehensive toolCNV identificationDownloadAlgorithmVariant identificationBioinformaticsImplementationTypes of variationRCPPAccuracyIntegrationStepTool