HKU-BAL/ClairS-TO

ClairS: a deep-learning method for long-read tumor–normal pair somatic small variant calling

Clair3 - Symphonizing pileup and full-alignment for deep learning-based long-read variant calling

An ensemble approach to accurately detect somatic mutations using SomaticSeq

Haplotype-specific somatic copy number aberrations/profiling from long reads sequencing data

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

Copy number calling and variant classification using targeted short read sequencing

Structural variation caller using third generation sequencing

Flexible, uncertainty-aware variant calling with parameter free filtration via FDR control.

Analysis of subclonal copy number alterations (CNA) and loss of heterozygosity (LOH) in cancer