Haplotype-aware CNV analysis from single-cell RNA-seq
-
Updated
Mar 19, 2025 - R
8000
Haplotype-aware CNV analysis from single-cell RNA-seq
WisecondorX — An evolved WISECONDOR
HMM-integrated Bayesian approach for detecting CNV and LOH events from single-cell RNA-seq data
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
GUI in python for next generation sequencing CNV calling from exome data
Docker image for CNVnator on ubuntu 16.04
MSc Thesis on benchmarking inferCNV, SCEVAN and Numbat
ExomeDepth R package for the detection of copy number variants in exomes and gene panels using high throughput DNA sequencing data.
Mining CNV based on rice Nipponbare genome using resequencing 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.
Add a description, image, and links to the cnv-detection topic page so that developers can more easily learn about it.
To associate your repository with the cnv-detection topic, visit your repo's landing page and select "manage topics."