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25-36 of 439

sv-callers

Highly portable parallel workflow to detect structural variants in cancer genomes.

Big data
High performance computing
Workflow technologies

Python
Shell

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

APE

A CLI and Java API for the automated generation of computational pipelines (scientific workflows) from large collections of computational tools.

Java
Program synthesis
Workflow technologies

Java
TeX
ANTLR

Citation File Format

The Citation File Format lets you provide citation metadata for software or datasets in plaintext files that are easy to read by both humans and machines.

FAIR
Inter-operability & linked data

Python

Via Appia Visualization

A web application which visualizes the point clouds and additional data gathered in the Via Appia project with WebGL.

Visualization

JavaScript
HTML
CSS

Twiqs

Software behind the web server twiqs.nl, which has provided free access to statistics about Dutch tweets since 2010

Big data
Text analysis & natural language processing
Visualization

Perl
Java
HTML
+ 3

DIANNA

Deep Insight And Neural Network Analysis, DIANNA is the only Explainable AI, XAI library for scientists supporting Open Neural Network Exchange, ONNX - the de facto standard models format.

Explainable AI
Image processing
Machine learning
+ 2

Jupyter Notebook
Python
TeX

compareMS2

compareMS2 is a tool for direct comparison of tandem mass spectrometry datasets, typically from liquid chromatography-tandem mass spectrometry (LC-MS/MS), defining a distance as a function of the share of similar spectra. Applications span biomedicine, phylogenetics, forensics and food science.

Forensics
mass spectrometry
phylogenetics
+ 1

JavaScript
C
HTML
+ 2

GSA report

GSAreport is an application to easily generate reports that describe the global sensitivities of your input parameters as best as possible. You can use the reporting application to inspect which features are important for a given real world function / simulator or model.

Explainable AI
Machine learning
python
+ 1

Python
HTML
CSS
+ 1

COVID-19 Integrated Surveillance Data in Italy

COVID-19 integrated surveillance data provided by the Italian National Institute of Health and processed via UnrollingAverages.jl to deconvolve the weekly simple moving averages.

Clinical Data
Computational Epidemiology
COVID-19
+ 16

Julia
TeX
Python

Xenon

If you are using remote machines to do your computations, and don’t feel like learning and implementing many different APIs, Xenon is the tool for you.

batch-job
distributed computing
FTP
+ 11

Java
Shell
Batchfile

AMBER

A real-time pipeline to search for Fast Radio Bursts and other transient radio sources.

Big data
GPU
High performance computing
+ 1

C++
CMake