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Cited by in F6Publishing
For: Liang Y, He L, Zhao Y, Hao Y, Zhou Y, Li M, Li C, Pu X, Wen Z. Comparative Analysis for the Performance of Variant Calling Pipelines on Detecting the de novo Mutations in Humans. Front Pharmacol 2019;10:358. [PMID: 31105557 DOI: 10.3389/fphar.2019.00358] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 1.7] [Reference Citation Analysis]
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1 Khazeeva G, Sablauskas K, van der Sanden B, Steyaert W, Kwint M, Rots D, Hinne M, van Gerven M, Yntema H, Vissers L, Gilissen C. DeNovoCNN: a deep learning approach to de novo variant calling in next generation sequencing data. Nucleic Acids Res 2022:gkac511. [PMID: 35713566 DOI: 10.1093/nar/gkac511] [Reference Citation Analysis]
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4 Ahmed Z, Renart EG, Zeeshan S. Genomics pipelines to investigate susceptibility in whole genome and exome sequenced data for variant discovery, annotation, prediction and genotyping. PeerJ 2021;9:e11724. [PMID: 34395068 DOI: 10.7717/peerj.11724] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
5 Guo M, Li S, Zhou Y, Li M, Wen Z. Comparative Analysis for the Performance of Long-Read-Based Structural Variation Detection Pipelines in Tandem Repeat Regions. Front Pharmacol 2021;12:658072. [PMID: 34163355 DOI: 10.3389/fphar.2021.658072] [Reference Citation Analysis]
6 Kanzi AM, San JE, Chimukangara B, Wilkinson E, Fish M, Ramsuran V, de Oliveira T. Next Generation Sequencing and Bioinformatics Analysis of Family Genetic Inheritance. Front Genet 2020;11:544162. [PMID: 33193618 DOI: 10.3389/fgene.2020.544162] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]