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  • 1
    nichenetr

    nichenetr

    NicheNet: predict active ligand-target links between interacting cells

    nichenetr: the R implementation of the NicheNet method. The goal of NicheNet is to study intercellular communication from a computational perspective. NicheNet uses human or mouse gene expression data of interacting cells as input and combines this with a prior model that integrates existing knowledge on ligand-to-target signaling paths. This allows to predict ligand-receptor interactions that might drive gene expression changes in cells of interest. This model of prior information on...
    Downloads: 1 This Week
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  • 2

    Stanford Data Miner

    Tools for integration and analysis of heterogeneous immunological data

    An extensive description of this system is published in the Journal of Translational Medicine (http://www.translational-medicine.com/). In brief, the system consists of two main web applications, a data integration app and a data exploration app. The data integration app is a fully custom Java "Web 2.0" product called Sherpa. Sherpa uses Seam, a platform integrating Asynchronous JavaScript and XML (AJAX), JavaServer Faces (JSF), the Java Persistence API (JPA), and Enterprise Java Beans (EJB) 3.0. The data exploration app is an open source business intelligence product called JasperServer (version 3.7), customized through supported configuration changes. ...
    Downloads: 0 This Week
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  • 3
    Mara Pipelines

    Mara Pipelines

    A lightweight opinionated ETL framework, halfway between plain scripts

    ...Data integration pipelines as code: pipelines, tasks and commands are created using declarative Python code. PostgreSQL as a data processing engine. Extensive web ui. The web browser as the main tool for inspecting, running and debugging pipelines. GNU make semantics. Nodes depend on the completion of upstream nodes. No data dependencies or data flows. No in-app data processing: command line tools as the main tool for interacting with databases and data. Single machine pipeline execution based on Python's multiprocessing. ...
    Downloads: 0 This Week
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  • 4
    ZENBU is a data integration, data processing, and visualization web system based around three main web interfaces : an expression data enhanced genome browser interface, a secured user system for data upload and secured data sharing, and a data explorer interface to find and manipulate data across the many supported experimental data types and to find shared user configurations ZENBU is built as a web2.0 client/server application with javascript web clients and c++ server infrastructure.
    Downloads: 0 This Week
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