All software
cola
Subgroup classification is a basic task in genomic data analysis. The cola package provides a general framework for subgroup classification by consensus partitioning.
- Data analysis
- Data Visualization
- FAIR Data
- + 3
- R
- C++
fsbrain
The fsbrain package provides visualization of neuroimaging data in R. The plots produced by fsbrain can be integrated into R notebooks or written to high-quality bitmap image files, ready for publication.
- Computational Neuroscience
- Visualization
- R
- Dockerfile
- Shell
Aviator
Aviator is a web service facilitating easy surveillance of scientific online tools. It currently checks more than 13,000 websites twice a day for availability and saves numerous features (response time, RAM usage security certificates, analytic tools / trackers, etc.) in a FAIR data repository.
- Data Visualization
- FAIR Data
- FAIR Software
- + 8
- Python
- HTML
- JavaScript
- + 5
HilbertCurve
Hilbert curve is a type of space-filling curves that fold one dimensional axis into a two dimensional space, but with still preserves the locality. This package aims to provide an easy and flexible way to visualize data through Hilbert curve.
- Data analysis
- Data Science
- Data Visualization
- + 3
- R
- C++
- CSS
- + 1
UltraMassExplorer (UME)
Natural organic matter is the most complex chemical mixture on our planet. UME is an open access, browser-based tool that allows efficient, interactive, transparent, and reproducible exploration and evaluation of ultrahigh resolution mass spectra of complex organic matter.
- analytical chemistry
- Carbon cycle
- Data analysis
- + 7
- R
- BibTeX
BIAS
A toolbox for detecting structural bias in continuous optimization heuristics.
- Bias
- Metaheuristics
- optimization
- + 1
- Jupyter Notebook
- Python
- Dockerfile
- + 1
talkr
{talkr} is an R package that offers a set of convenience functions for quality control, visualisation and analysis of conversational data. Most notably it provides a range of plotting functions that play well with ggplot and the tidyverse.
- conversation
- talk
- turn-taking
- + 1
- R
- Rez
DoE2Vec
DoE2Vec is a self-supervised approach to learn exploratory landscape analysis features from design of experiments. The model can be used for downstream meta-learning tasks such as learninig which optimizer works best on a given optimization landscape.
- Machine learning
- optimization
- python
- Python
- R
- Makefile
Code supporting the publication: Gromit: Benchmarking the performance and scalability of blockchain systems
Code supporting the publication: Gromit: Benchmarking the performance and scalability of blockchain systems
- Benchmarking
- Blockchain
- Performance
- + 1
- Other
- Python
- JSON
- + 3
PolarMorphism
PolarMorphism uses results from GWAS of multiple phenotypes to output statistics per SNP that describe its degree of 'sharedness' across the phenotypes of interest and its overall (multivariate) effect size, as well as p-values indicating significance for each statistic.
- genomics
- GWAS
- pleiotropy
- R
FastMLC
Detect clusters in for example large collections of DNA or protein sequences, and visualize the results in a web browser.
- Big data
- Machine learning
- Visualization
- C++
- C
- Makefile
- + 5
spiralize
It visualizes data along an Archimedean spiral, makes so-called spiral graph or spiral chart. It has two major advantages for visualization: 1. It is able to visualize data with very long axis with high resolution. 2. It is efficient for time series data to reveal periodic patterns.
- Data analysis
- Data Science
- Data Visualization
- + 3
- R
- JavaScript
- CSS