Web-Based Data Upload and Visualization Platform Enabling Creation of Code-Free Exploration of MS-Based Omics Data
a data upload and visualization platform technology, applied in the field of web-based data upload and visualization platform enabling, can solve the problems of tedious and time-consuming process of developing a web-based interface for ms data exploration, the creation of increasingly large datasets, and the difficulty of integrating data with other tools
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Examples
example 1
A Platform for Codeless Generation of Custom Data Analysis Web Portals
[0037]The web tools designed and developed in support of pre-existing data analysis have undoubtedly bolstered the data analysis process and public profile of such studies. However, a great deal of work was required for each instance for building and deploying those web portals. Additionally, their construction required extensive knowledge and application of several programming languages (JavaScript, PHP, C#, etc.) and coding libraries (D3.js, Angular.js, underscore.js, etc.), as well as expertise in relational database design (MySQL) which many researchers lack. Collectively, this creates a bottleneck to the construction and publication of similar web resources. In order to extend the benefit which these data exploration solutions can provide, to a broad audience, it is essential that complimentary tools are developed to facilitate the upload, organization, processing, and eventual online visualization of MS-base...
example 2
Data Upload
[0040]In order to achieve the overarching goal of the platform—rapid data upload and visualization—it is critical that all uploaded data be stored using a well-defined organizational structure. Storage of data in a predictable manner enables reuse of code for queries and visualizations across projects. Specifically, this characteristic storage will allow creation of functionally similar web portals—built around unique datasets—using identical blocks of code. In the present instance, all data is uploaded to a single central relational database (MySQL) with a static table structure. In order to ensure that user data is uploaded properly to this well-defined database, a number of considerations must be made. First, it is imperative that the upload functionality be flexible enough to handle data from a broad array of experiment types (proteomics, metabolomics, lipidomics, etc.). Second, the hierarchical organization of data and the various experimental designs must be account...
example 3
Data Processing and Database Entry
[0047]At this point in the generation of a custom web portal, a user has created a new Project and uploaded at least one peak table with appropriate organizational information. In order to make individual measurements accessible on-command, it is required that the data be entered into a logically-structured database (MySQL is used here) to enable subsequent querying and visualization.
[0048]For each uploaded file, entries for all column headers have been stored in a MySQL data table which indicates whether that column contains ‘Unique Identifiers,’‘Feature Metadata,’‘Quantitative Data,’ or if it should be discarded from subsequent processing. Each ‘Quantitative Data’ column is assumed to arise from a single replicate MS experiment. For these entries, the user-provided replicate name along with its associated condition is stored. Using this information values from the user-provided peak table can be extracted and inserted into a structured MySQL datab...
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Description
Claims
Application Information
- IPC
- G06F3/0482; G06F17/30; H04L29/06; H01J49/00
- CPC
- G06F3/0482; G06T2200/24; G06F16/95; G06T11/206; H04L63/10; H01J49/0036; G06F16/958; H04L63/105
- Inventors
- KWIECIEN, NICHOLAS WILLIAM; WESTPHALL, MICHAEL SCOTT