SCYN is a CNV (Copy number variation) segmentation method powered with dynamic programming. SCYN resolves the precise segmentation on in silico dataset.
EXCAVATOR is a novel software package for the detection and classification of genomic regions involved in copy numner variants that uses whole-exome sequencing data generated by second generation sequencing technologies.
EXCAVATOR2 is a collection of bash, R and Fortran scripts and codes that analyses Whole Exome Sequencing (WES) data to identify CNVs. EXCAVATOR2 enhances the identification of all genomic CNVs, both overlapping and non-overlapping targeted exons by integrating the analysis of In-targets and Off- targets reads.
XCAVATOR is a novel software package for the identification of genomic regions involved in copy number variants/alterations (CNVs/CNAs) from short and long reads whole-genome sequencing experiments.
CNVAnalyst is a Java GUI for statistical, bioinformatic, and visual analyses of CNVs(copy number variants). CNVAnalyst assists in the choice of the optimal CNV calling method and its parameters for each CNV dataset.
cvnCapSeq is a set of Java-based command-line tools for detecting and genotyping copy number variation (CNV) in targeted resequencing experiments of large contiguous genomic regions.
SubPatCNV (Subspace Pattern-ming of Copy Number Variations) is a tool for mining CNV subspace patterns, which is able to identify all aberrant CNV regions specific to arbitrary patient subsets larger than a support threshold. SubPatCNV is an approximate association pattern mining algorithm under a spatial constraint on the positional CNV probe features. In the experiments on a large-scale bladder cancer dataset, SubPatCNV discovered many large aberrant CNV events in patient subgroups and also reported CNV regions highly specific to clinical variables such as tumor grade or stage and enriched with more known oncogenes compared with other existing CNV discovery methods.