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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

UrbEm - Urban Emission downscaling for air quality modeling

UrbEm enables in a modular manner downscaling of gridded regional emissions with specific spatial proxies based on a variety of open access, robust, sustainable and frequently updated sources. UrbEm can be applied to any urban area in Europe and provides methodological homogeneity between cities.

Air quality
Chemistry Transport Modeling
Earth & Environment
+ 2

Python
R

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

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

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

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

hCoCena - horizontal integration and analysis of transcriptomics datasets

hCoCena is an R-package that allows you to comprehensively and easily analyse your transcriptomics data. It also provides the option to integrate several datasets using a network-based integration approach and analyse them jointly. Tutorials and a Docker image exist to help you get to know the tool.

Data analysis
Gene Expression
Health
+ 1

pkgndep

A new metric named 'dependency heaviness' is proposed that measures the number of additional dependency packages that a parent package brings to its child package and are unique to the dependency packages imported by all other parents.

Data analysis
Data Visualization
FAIR Data
+ 3

R
HTML
JavaScript
+ 1

simona

This package implements infrastructures for ontology analysis by offering efficient data structures, fast ontology traversal methods, and elegant visualizations. It provides a robust toolbox supporting over 70 methods for semantic similarity analysis.

Data analysis
Data Visualization
FAIR Data
+ 3

R
C++
JavaScript
+ 3

Rankings Reloaded

Rankings Reloaded is an open-source toolkit for robust and accurate benchmark visualization and ranking. It is an out-of-the-box and open-source framework for analyzing and visualizing algorithm results in an accurate way. It uses challengeR and brings advantages of it with user-friendly interface.

Data analysis
Data Visualization
Information
+ 1

scanpy

Scanpy is a scalable toolkit for analyzing single-cell gene expression data built jointly with anndata. It includes preprocessing, visualization, clustering, and differential expression testing. The Python-based implementation efficiently deals with datasets of more than one million cells.

bioinformatics
Data analysis
python

Python
R