Explore projects

2D Ising model simulation with the Metropolis and Wolff algorithm.

Generation of de novo library sequences for oligonucleotide library synthesis.

Visualizing the influences of structural features on molecular property prediction with explainable artificial intelligence and evolutionary multiple pattern fingerprints. Project based on Evo-MPF, SHAP and Catboost libaries.

This repository contains the code to the master's thesis 'Localized Model Order Reduction for transport problems using an optimally stable Petrov-Galerkin method' by Lukas Renelt.

Scripts used in the publication "Assessing structure and disorder prediction tools for de novo emerged proteins in the age of machine learning

exact copy of https://github.com/takmatsu/kaniko/tree/s3-endpoint, except for ci

Python wrapper for the HTTP API of SampleDB

Scripts and data for de novo gene identification in the Drosophila clade.