PatternCNV is a versatile tool to facilitate CNV detection and interpretation from either Germline or Tumor/Normal pairs of Exome-seq samples. The idea behind proposed patternCNV approach is to summarize common coverage trends of a same exome capture-kit, and then facilitate accurate CNV estimation. Across multiple control-samples (i.e. germline), we proposed to summarize average and variability of exon-coverage, defined as "average-pattern" and "variability-pattern", respectively. Then, exon-level CNV is reliably estimated by computing difference between observed read-depth and expected coverage
Package details |
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Author | Chen Wang |
Bioconductor views | CopyNumberVariants HighThroughputSequencing Sequencing Visualization |
Maintainer | Chen Wang, <Wang.Chen@mayo.edu> or <topsoil.ustc@gmail.com> |
License | Artistic-2.0 |
Version | 0.99.2 |
Package repository | View on GitHub |
Installation |
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