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BioInfoRx, Inc.  

Madison,  WI 
United States
http://www.bioinforx.com
  • Booth: 611

BioInfoRx is an information technology company specialized in providing web-based solutions for life science research. BioInfoRx offers a broad range of data management and processing solutions, from routine laboratory inventory and data management to large-scale omics data analysis. BioInfoRx has the capability to establish very large databases and implement tools with advanced algorithms, and at the same time provide intuitive web interface for users to interactively visualize data and gain insights.  BioInfoRx has years of experience in working with biomedical research laboratories from universities, research institutions, and biotech/pharmaceutical companies. 

For ASHG 2022, we are proud to introduce the BxGenomics suite of Single-Cell and Bulk RNA-Seq data solutions. 

Brands: BxGenomics, mLIMS, BxToolBox


 Products

  • BxGenomics
    An integrated data solution for single-cell and bulk RNA-Seq data sets. Includes an efficient data management system for public and private datasets, powerful analytical tools, and interactive data visualization tools specially designed for biologists....

  • BxGenomics enables biologists to easily analyze single-cell and bulk RNA-Seq data, identify changed genes and enriched pathways, and further visualize the results and compare across projects using interactive data mining tools.

    We developed an integrated web database including single-cell RNA-Seq data from over 400 published datasets. It provides an efficient data management system for single cell datasets. Users can search the database by multiple attributes such as publication, key words, species and cell types. Advanced filter and across-dataset gene expression tools enable users to quickly find the datasets of interest and compare the expression of gene(s) across these.

    Importantly, each scRNA dataset can be loaded into the cellxgene VIP tool, which enables fast exploration of individual dataset in the manner of interactivity and scalability to gain more refined insights such as cell composition, gene expression profiles, and differentially expressed genes among cell types by leveraging more than 20 frequently applied plotting functions and high-level analysis methods in single cell research.

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