Haplotype-aware CNV analysis from single-cell RNA-seq
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Updated
Dec 5, 2024 - R
Haplotype-aware CNV analysis from single-cell RNA-seq
HMM-integrated Bayesian approach for detecting CNV and LOH events from single-cell RNA-seq data
WisecondorX — An evolved WISECONDOR
Detection of allele-specific subclonal copy number alterations from single-cell transcriptomic data.
a tool for predicting mitochondrial DNA deletions using soft-clipping
Workflow for Sequenza, cellularity and ploidy
Linkage disequlibrium-informed PGT-A (LD-PGTA). A package for detecting genotypic signatures of aneuploidy from extremely low-coverage sequence data.
ampliCNV is a Python 3.x package for copy number (CNV) variation detection on whole exome sequencing (WES) data from amplicon-based enrichment technologies.
Cobalt is a tool to detect copy-number variants from next generation sequencing (NGS) data
Materials & Methods for CNV calling with Genalice software against a benchmark dataset
Benchmarking records for scRNA-seq CNV detection.
multiomics single-cell copy number alterations detection
Docker image for CNVnator on ubuntu 16.04
ExomeDepth R package for the detection of copy number variants in exomes and gene panels using high throughput DNA sequencing data.
CNV-detection algorithm developed with large Dataset
Fork of the CoNVaDING software - Copy Number Variation Detection In NGS Gene panels was designed for small (single-exon) copy number variation (CNV) detection in high coverage NGS data.
Mining CNV based on rice Nipponbare genome using resequencing data.
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