Joachim Wolff

An AI-assisted C++17 port of VarDictJava gives byte-identical calls on five exome samples while running 3.7-4.8 times faster on one core and needing 8-17 times less memory.

Hi-cGAN predicts Hi-C interaction matrices using conditional generative adversarial networks, achieving better performance than existing methods at certain resolutions.

The paper introduces a chromatin loop detection algorithm using Hi-C data with strict candidate selection and statistical testing.

The paper introduces an approximate k-nearest neighbors method using MinHash to reduce the dimensionality of single-cell Hi-C data, enabling efficient clustering of large datasets.

Bioconda provides a sustainable, comprehensive distribution of bioinformatics software using Conda for reproducible analysis across platforms.

The paper presents a community-driven framework for interactive data analytics training in life sciences, enabling researchers to learn through web-based computation without software installation.