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13-24 of 45
Logo for sv-callers

sv-callers

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

  • Big data
  • High performance computing
  • Workflow technologies
  • Python
  • Shell
4
34
Logo for KNIME Python node archetype

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
1
33
Logo for AHN2 pointcloud viewer

AHN2 pointcloud viewer

A web application able to visualize the AHN2 point cloud data of the Netherlands.

  • Big data
  • Real time data analysis
  • Visualization
  • JavaScript
  • HTML
  • CSS
  • + 1
3
25
Logo for AMBER

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
3
25

AHN point cloud viewer web service

A web service to serve large point cloud data efficiently using octrees.

  • Big data
  • Visualization
  • Java
  • Python
2
24
Logo for laserchicken

laserchicken

Toolkit for preprocessing and feature calculation of point clouds created using airborne laser scanning

  • Big data
  • Machine learning
  • Python
  • Jupyter Notebook
12
23

Dive

Interactively explore millions of 2D and 3D data points in your browser, without the need to install anything.

  • Big data
  • Machine learning
  • Visualization
  • HTML
  • JavaScript
  • CSS
  • + 1
2
16

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
5
11

Clustering Geo-data Cubes

Tool to perform cluster analysis of multi-dimensional geospatial data, running on local or distributed systems.

  • Big data
  • geospatial
  • Machine learning
  • + 1
  • Python
  • Jupyter Notebook
  • TeX
7
8

pdb2sql

Fast and versatile Python package that leverages SQL queries to parse, manipulate and process biomolecular structure files. The structure files should be in the PDB format and are available on www.rcsb.org.

  • Big data
  • Optimized data handling
  • Python
  • TeX
  • Makefile
2
8

ece2cmor3

Process EC-Earth output to publish for CMIP6

  • Big data
  • High performance computing
  • Optimized data handling
  • Shell
  • Python
2
7

PSSMGen

Generates consistent PSSM and PDB files for protein-protein complexes

  • Big data
  • High performance computing
  • Optimized data handling
  • Python
  • Makefile
2
6