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Data Analysis Software(work) - List of Manufacturers, Suppliers, Companies and Products

Data Analysis Software Product List

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Deep Learning Applications for Communications and Radar

Deep Learning Applications for Communications and Radar

This explains how to apply deep learning and machine learning techniques to modulation identification and target classification in communication applications.

MATLAB can be used for modulation identification and target classification, as well as for communication applications. The white paper explains the following: 【Contents】 - Synthesizing radar and communication waveforms for labeling - Generating radar signals for moving objects - Training deep networks with synthetic data - Waveform modulation ID and target classification using deep learning and machine learning - Testing the system with data collected from software-defined radio and radar systems

  • simulator

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QIAGEN CLC Genomics Workbench

QIAGEN CLC Genomics Workbench

Easy NGS analysis, including RNA-seq, mutation analysis, and microbiome analysis, can be performed with a single tool using only software screen (GUI) operations.

QIAGEN CLC Genomics Workbench (CLC GWB) enables secondary analysis of NGS data through GUI (Graphical User Interface) operations only. When using free tools for analysis, constructing complex analysis workflows often requires expertise in bioinformatics and does not cater to diverse analysis purposes. CLC GWB is a tool that allows for NGS data analysis for various purposes without the need for command line usage or coding. With CLC GWB, users can perform a variety of analyses such as RNA-seq, mutation analysis, and microbiome-related analyses using similar GUI operations, making it easy to learn new analytical methods. Users can freely change the reference sequences used for analysis and are not troubled by the compatibility of the various tools that make up the workflow. These features explain why CLC GWB is used not only in medical biology research but also in the quality control of biopharmaceuticals. 【Features】 ■ Diverse NGS secondary analysis through GUI operations ■ NGS secondary analysis for various purposes ■ High extensibility with paid and free plugins ■ Usable by wet researchers

  • Bioinformatics

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Easy NGS raw data secondary analysis tool that requires no specialized knowledge.

Easy NGS raw data secondary analysis tool that requires no specialized knowledge.

Easy NGS analysis, including RNA-seq, mutation analysis, and microbiome analysis, can be performed with a single tool using only software screen (GUI) operations.

QIAGEN CLC Genomics Workbench (CLC GWB) enables secondary analysis of NGS data through GUI (Graphical User Interface) operations only. When using free tools for analysis, constructing complex analysis workflows often requires expertise in bioinformatics and does not cater to diverse analysis purposes. CLC GWB is a tool that allows for NGS data analysis for various purposes without the need for command line usage or coding. With CLC GWB, users can perform diverse analyses such as RNA-seq, mutation analysis, and microbiome-related analyses through similar GUI operations, making it easy to learn new analytical methods. Users can freely change the reference sequences used for analysis, and they are not troubled by the compatibility of the various tools that make up the workflow. These features explain why CLC GWB is used not only in medical biology research but also in the quality control of biopharmaceuticals. 【Features】 ■ Diverse NGS secondary analysis through GUI operations ■ NGS secondary analysis for various purposes ■ High extensibility with paid and free plugins ■ Usable by wet researchers

  • Bioinformatics

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