All software
sv-callers
Highly portable parallel workflow to detect structural variants in cancer genomes.
- Big data
- High performance computing
- Workflow technologies
- Python
- Shell
KNIME Python node archetype
Want to write your own KNIME node wrapping a Python library. Then use the KNIME Python node archetype to generate a node skeleton repository with sample code
- Big data
- Workflow technologies
- Java
- Python
KNIME Python wrapper
If you are developing a KNIME node which calls some Python code, then the KNIME Python wrapper can help you.
- Workflow technologies
- Java
- Python
PanTools
PanTools is a pangenomic toolkit for comparative analysis of large number of genomes. It is developed in the Bioinformatics Group of Wageningen University, the Netherlands. Please cite the relevant publication(s) from the list of publications if you use PanTools in your research.
- Data Analysis
- Gene classification
- pangenomics
- Java
- Snakemake
- Python
- + 1
LitStudy
Explore scientific literature using Python from the comfort of a Jupyter notebook
- Inter-operability & linked data
- Text analysis & natural language processing
- Visualization
- Python
- HTML
BIAS
A toolbox for detecting structural bias in continuous optimization heuristics.
- Bias
- Metaheuristics
- optimization
- + 1
- Jupyter Notebook
- Python
- Dockerfile
- + 1
HyperCanny
Finds edges in high-dimensional data using the Canny algorithm.
- Data Analysis
- edge detection
- High performance computing
- C++
- C
- Python
- + 3
OMUSE
A Python environment to interface and couple oceanographic and other earth system model codes.
- High performance computing
- Multi-scale & multi model simulations
- Fortran
- Python
- HTML
- + 10
AHN point cloud viewer web service
A web service to serve large point cloud data efficiently using octrees.
- Big data
- Visualization
- Java
- Python
swyft
swyft is the official implementation of Truncated Marginal Neural Ratio Estimation, a hyper-efficient, simulation-based inference technique for complex data and expensive simulators.
- Bayesian Inference
- Data Analysis
- Jupyter Notebook
- Python
Inseq
Interpretability for sequence generation models 🐛 🔍
- deep learning
- Explainable AI
- generative models
- + 2
- Python
- Makefile
- Dockerfile
laserchicken
Toolkit for preprocessing and feature calculation of point clouds created using airborne laser scanning
- Big data
- Machine learning
- Python
- Jupyter Notebook