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Evaluation of tools for identifying large copy number variations from ultra-low-coverage whole-genome sequencing data | BMC Genomics | Full Text
Bioinformatics Applications Note Genome Analysis Control-free Calling of Copy Number Alterations in Deep-sequencing Data Using Gc-content Normalization | Semantic Scholar
Frontiers | A shortest path-based approach for copy number variation detection from next-generation sequencing data
WisecondorX: improved copy number detection for routine shallow whole-genome sequencing
Evaluation of tools for identifying large copy number variations from ultra-low-coverage whole-genome sequencing data
Deep whole-genome sequencing of 3 cancer cell lines on 2 sequencing platforms | Scientific Reports
Replicability and profile comparison. (A) The boxplots of the... | Download Scientific Diagram
BIC-seq2
PDF] Copy number analysis of whole-genome data using BIC-seq2 and its application to detection of cancer susceptibility variants | Semantic Scholar
PDF] Copy number analysis of whole-genome data using BIC-seq2 and its application to detection of cancer susceptibility variants | Semantic Scholar
G-means of dpGMM, CNVnator, GROM-RD, and BIC-seq2 on simulation1... | Download Scientific Diagram
PDF) Copy number analysis of whole-genome data using BIC-seq2 and its application to detection of cancer susceptibility variants
PDF] dpGMM: A Dirichlet Process Gaussian Mixture Model for Copy Number Variation Detection in Low-Coverage Whole-Genome Sequencing Data | Semantic Scholar
Effectiveness of the normalization procedure in BIC-seq2. (A) The... | Download Scientific Diagram
G-means of dpGMM, CNVnator, GROM-RD, and BIC-seq2 on simulation1... | Download Scientific Diagram
WisecondorX: improved copy number detection for routine shallow whole-genome sequencing
PDF] Copy number analysis of whole-genome data using BIC-seq2 and its application to detection of cancer susceptibility variants | Semantic Scholar