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Scientific workflow and data integration system Unix-like: Academic Free: Collaborative project GenePattern: Scientific workflow system that provides access to hundreds of genomic analysis tools Unix-like (public server); Linux, macOS, Windows: MIT: Broad Institute, UC San Diego: Geworkbench: Genomic data integration platform Linux, macOS, Windows
BioJupies is a web-based platform that provides complete RNA-seq analysis solution from free alignment service to a complete data analysis report delivered as an interactive Jupyter Notebook. BioQueue is a web-based queue engine designed preferentially to improve the efficiency and robustness of job execution in bioinformatics research by ...
Mondrian – data analysis tool using interactive statistical graphics with a link to R; Neurophysiological Biomarker Toolbox – Matlab toolbox for data-mining of neurophysiological biomarkers; OpenBUGS; OpenEpi – A web-based, open-source, operating-independent series of programs for use in epidemiology and statistics based on JavaScript and ...
Link library and tools that are a set of modular and extensible open-source, cross-platform tools and software libraries that facilitate proteomics data analysis. ProteoWorker: Proprietary: Cloud-based software for proteomics data analysis including COMET, Peptide Prophet, ProteinProphet and extensive data sorting, filtering and annotation tools.
Galaxy [2] is a scientific workflow, data integration, [3] [4] and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming or systems administration experience.
Waikato Environment for Knowledge Analysis (Weka) is a collection of machine learning and data analysis free software licensed under the GNU General Public License. It was developed at the University of Waikato, New Zealand and is the companion software to the book "Data Mining: Practical Machine Learning Tools and Techniques". [1]
Many other free to use programs were designed specifically for particular functions, like factor analysis, power analysis in sample size calculations, classification and regression trees, or analysis of missing data. Many of the free to use packages are fairly easy to learn, using menu systems. Many others are command-driven.
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