All software
ComplexHeatmap
Complex heatmaps are efficient in visualizing associations between different sources of data sets and revealing potential patterns. Here the ComplexHeatmap package provides a highly flexible way to arrange multiple heatmaps and supports various annotation graphics.
- bioconductor
- Clustering
- Data Science
- + 3
- R
- CSS
circlize
Circular layout is an efficient way for the visualization of huge amounts of information. The circlize package provides an implementation of circular layout generation in R.
- Data analysis
- Data Science
- Data Visualization
- + 3
- R
DataLad
DataLad is a tool for the joint management of code, data, and their relationship, built on top of the version control systems Git & git-annex. It adapts principles of open-source software development & distribution to address challenges of data management, data sharing, & digital provenance capture.
- DataLad
- data managment
- data sharing
- + 8
- Python
- Shell
- Makefile
- + 4
PeTrack
PeTrack (Pedestrian Tracking) automatically extracts accurate pedestrian trajectories from video recordings (calibration, recognition, tracking). Individual codes enable personalized trajectories with static information of each participant. With a stereo camera also markerless tracking is possible.
- Annotation
- Calibration
- Computer Vision
- + 17
- C++
- Python
- CMake
- + 2
InteractiveComplexHeatmap
InteractiveComplexHeatmap is an R package that converts static heatmaps produced from ComplexHeatmap package into an interactive Shiny app only with one extra line of code.
- Data analysis
- Data Science
- Data Visualization
- + 3
- R
- JavaScript
- CSS
EnrichedHeatmap
Enriched heatmap is a special type of heatmap which visualizes the enrichment of genomic signals on specific target regions. The EnrichedHeatmap package provides advanced solutions for normalizing genomic signals within target regions as well as offering highly customizable visualizations.
- Data analysis
- Data Visualization
- FAIR Data
- + 2
- R
- CSS
- C++
simplifyEnrichment
A new clustering algorithm, "binary cut", for clustering similarity matrices of functional terms is implemeted in this package. It also provides functions for visualizing, summarizing and comparing the clusterings.
- Data analysis
- Data Visualization
- FAIR Data
- + 3
- R
- CSS
rGREAT
GREAT is a type of functional enrichment analysis directly performed on genomic regions. This package implements the GREAT algorithm, also it supports directly interacting with the GREAT web service (the online GREAT analysis). Both analysis can be viewed by a Shiny application.
- Data analysis
- Data Visualization
- FAIR Data
- + 3
- R
- C++
RiboDetector
RiboDetector is designed to rapidly and accurately detect rRNA sequences from metagenomic, metatranscriptomic, and ncRNA sequencing data. It has been optimized for use with both CPUs and GPUs. It outperforms existing software by delivering 10-50x faster runtime and ~10x fewer false classifications.
- Data analysis
- FAIR Data
- Genomics
- + 3
- Python
Kadi4Mat
Kadi4Mat is a generic and open source virtual research environment.
- Aeronautics, Space and Transport
- Earth & Environment
- Electronic Lab Notebook
- + 9
- Python
- Vue
- HTML
- + 2
SpatialData framework
SpatialData is an open and interoperable data framework for ingesting, representing, processing and visualizing spatial omics datasets.
- Data Visualization
- FAIR Data
- Multi omics
- + 3
- Python
- Dockerfile
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++