There are 2 repositories under cnv topic.
🌲 An easy-to-use and scalable toolkit for genomic alteration signature (a.k.a. mutational signature) analysis and visualization in R https://shixiangwang.github.io/sigminer/reference/index.html
Infer copy number variation (CNV) from scRNA-seq data. Plays nicely with Scanpy.
ClassifyCNV: a tool for clinical annotation of copy-number variants
cfDNApipe: A comprehensive quality control and analysis pipeline for cell-free DNA high-throughput sequencing data
Copy number variant caller and depth visualization utility for PacBio HiFi reads
Detection of allele-specific subclonal copy number variations from single-cell transcriptomic data.
This repository contains the code to run the ASCETS arm-level copy number events caller for targeted sequencing data. ASCETS produces arm-level copy-number variant calls and arm-level weighted average log2 segment means from segmented copy number data.
Official code repository for JAX-CNV
A fork of the project Excavator2 from sourceforge.
A pipeline for detecting Somatic Insertion of DE novo RETROcopies
Dzyaloshinskii-Moriya interaction for crystallographic class Cnv
R Package to compare copy number variant (CNV) results from multiple samples/methods
A bioinformatics best-practice analysis pipeline for calling structural variants (SVs), copy number variants (CNVs) and repeat region expansions (RREs) from short DNA reads
Hidden Markov Model based Copy number caller
Bioinformatics CNV Detection with Random Forest Model
DupFinder: A tools to detect the duplicated genes using Illumina and Nanopore sequencing data
Materials & Methods for CNV calling with Genalice software against a benchmark dataset
A tool to call CNV (Copy Number Variation) from bulk ATAC-Seq data
Workflow for running PennCNV with Illumina platform final report
Walk through Red Hat MTV
CmiRClustFinder v1.0: a tool for identification of CNV co-locolized miRNA, miRNA clusers and genes in TCGA cancer cohorts.
This project compares two learning paradigm, namely transfer-learning and self-supervised learning in a classification task of three retina disorders CNV, DME and DUSEN in addition to the normal condition using an OCT B-scans
PYRUS is a plotting tool that uses tabix files to create line graphs from bed file data. Utilization of PYRUS includes having a quick plotter for copy number variation within a given chromosomal range of a referenced bed file.