Open Source S/R Data Visualization Software

PANDA is a comprehensive and flexib tool for quantitative proteomics data analysis, which is developed based on our solid foundations in quantitative proteomics for years. Several novelties have been implemented in it. First, we implement the advantage algorithms of LFQuant (Proteomics 2012, 12, (23-24), 3475-84) and SILVER (Bioinformatics 2014, 30, (4), 586-7) into PANDA. Second, we consider the state-of-art concept of quantification reliability in this quantitative workflow. On the levels of spectra, peptides and proteins, PANDA works out a few quantitative filters and new scores for quantification confidence. Third, PANDA is designed for processing proteomics big data in parallel.

a R package. 'Qair' gives access to data bases used by air quality monitoring associations in France. It also contains functions to manipualte air quality datas.

Xpose - an S/R based population PK/PD model building aid for NONMEM.

Corbata is a set of statistical tools that can be used to analyze the core microbiome across a set of samples.

Django-dataplot enables developers using the Django web framework to seamlessly integrate data-driven graphical plots into their web pages.

You may also like some newer work: http://createdatasol.com/ Project imDEV is an application of RExcel, which seamlessly integrates Excel and R for tasks focused on multivariate data visualization, exploration, and analysis. Interactive modules for dimensional reduction (imPCA), prediction (imPLS), feature selection, analysis of correlation (imCorrelations) and generation of networked structures (imGraph) provide an integrated environment for systems level analysis of multivariate data.

Chipster is a biologist-friendly analysis software for high-throughput data. It contains over 200 analysis tools for next generation sequencing (NGS), microarray and proteomics data. Users can combine tools in automatic analysis workflows, which can be shared. Chipster's interactive visualizations allow users to select datapoints and create new gene lists. For NGS data Chipster contains a built-in genome browser, which highlights SNPs and automatically indexes BAM files and calculates coverage. Chipster’s ability to provide a biologist-friendly access to a powerful analysis platform is technically based on a desktop application user interface, a flexible distributed architecture, and the ability to integrate many types of analysis tools (command line, R/Bioconductor, Java, Web Services etc). The platform is generic and easily extendable to other areas, even beyond bioinformatics. For more information, please see http://chipster.csc.fi and http://genomebiology.com/1471-2164/12/

Maui is the Maltcms User Interface, a rich client application for Chromatography-Mass Spectrometry and related research areas.

PROMPT is a system for retrieval, analysis, mapping and comparison of proteins. It allows easy mapping of different types of sequence IDs, data retrieval and integration, a multitude of analysis and comparison algorithms and a full-blown easy to use GUI.

An R package for visualising global scale data by easy import & display of country level & gridded data. Rworldmap will also provide access to existing datasets from earth to social sciences and facilitate their combination to provide insights for policy

Implematation of robust depth-based inference tools for microarray data (a scale curve, to measure the dispersion of a set of curves, a rank test to decide if two groups of curves come from the same population, and classification techniques).

Bioinformatics related demos and tutorials using the R programming language for large biological data. Licence: Creative Commons Attribution-NonCommercial 4.0 International License

Quick reference for switching between mathematical computation environments for computer algebra, numeric processing and data visualisation. Examples are Matlab, IDL, SPlus, and their open-source counterparts Octave, Scilab, Python+NumPy and R.

An R package for the display of Venn diagrams

Java-based scientific graphics with support for Java, Groovy, MATLAB, Python, the R statistical environment, Scala and SciLab.

Peakplot is a Perl implemented freely available software application which labels peptide tandem mass spectra retrospectively after a Mascot database search. Availability: http://fgcz-peakplot.uzh.ch/

RGnome is a gtk based frontend for GNU R, which is a widely used language for statistical computing. It features a fully working R console and an editor with syntax highlighting.

An R-package for data visualization for statistics in social science.