🎉 CNVetti – robust, efficient, and versatile clinical CNV calling from HTS data
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Updated
Jan 8, 2020 - Rust
🎉 CNVetti – robust, efficient, and versatile clinical CNV calling from HTS data
My Solution for PrecisionFDA Brain Cancer Predictive Modeling and Biomarker Discovery Challenge
CONICS: COpy-Number analysis In single-Cell RNA-Sequencing
Dissecting the effects of DNA copy number variations on transcriptional programs at single-cell resolution
R Package to compare copy number variant (CNV) results from multiple samples or methods
nPoRe: n-Polymer Realigner for improved pileup-based variant calling
Roche entry into Precision FDA hackathon
Epicopy R package for CNV identification from methylation microarrays.
R package for estimating copy-number variation from targeted DNA sequencing
Processing DNA Copy Number (CN) Data for Detection of CN Events
Copy Number Variation
DETOPT is a combinatorial optimization method for DETermining Optimal Placement in Tumor progression history of SNVs from the genomic regions impacted by CNAs using multi-sample bulk DNA sequencing data
MSDS Thesis - Pan-Collagen Survival Analysis of CNV in Ovarian Cancer
Deep multiple instance learning model for predicting deletion pathogenicity and gene haploinsufficiency.
Algorithm to implement Fraction and Allelic Copy number Estimate from Tumor/normal Sequencing using unmatched normal sample(s) for log ratio calculations
Some workflows I wrote for my phd projects
Analysis pipleine to model tumour clonal evolution from WGS data (driver annotation, quality control of copy number calls, subclonal and mutational signature deconvolution)
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