URL: http://knime.org/
Proper Citation: Knime (RRID:SCR_006164)
Description: KNIME (Konstanz Information Miner) is a user-friendly and comprehensive Open-Source data integration, processing, analysis, and exploration platform. KNIME (naim) is a user-friendly graphical workbench for the entire analysis process: data access, data transformation, initial investigation, powerful predictive analytics, visualization and reporting. The open integration platform provides over 1000 modules (nodes), including those of the KNIME community and its extensive partner network. KNIME can be downloaded onto the desktop and used free of charge. KNIME products include additional functionalities such as shared repositories, authentication, remote execution, scheduling, SOA integration and a web user interface as well as world-class support. Robust big data extensions are available for distributed frameworks such as Hadoop. KNIME is used by over 3000 organizations in more than 60 countries. The modular data exploration platform, initially developed at the University of Konstanz, Germany, enables the user to visually create data flows, execute selected analysis steps, and later investigate the results through interactive views on data and models. KNIME is a proven integration platform for tools of numerous vendors due to its open and modular API. The KNIME.com product pipeline includes an Enterprise Server, Cluster Execution, Reporting solutions, and professional KNIME support subscriptions. KNIME.com also offer services such as data analysis, hands-on training and the development of customized components for KNIME.
Abbreviations: KNIME
Synonyms: Konstanz Information Miner
Resource Type: software toolkit, software resource, text-mining software, data processing software, software application, workflow software
Defining Citation: PMID:23110532, PMID:22644661, PMID:22607449, PMID:21984761, PMID:21873641
Keywords: platform, next-generation sequencing, data analysis, visualization, selection, analysis, high-throughput screening, data mining, drug discovery
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