SpA: web-accessible spectratype analysis: data management, statistical analysis and visualization | Zendy

Min He | Zendy; John K. Tomfohr | Zendy; Blythe H. Devlin | Zendy; Marcella Sarzotti | Zendy; M. Louise Markert | Zendy; Thomas B. Kepler | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

SpA: web-accessible spectratype analysis: data management, statistical analysis and visualization

Author(s) -

Min He,

John K. Tomfohr,

Blythe H. Devlin,

Marcella Sarzotti,

M. Louise Markert,

Thomas B. Kepler

Publication year - 2005

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bti600

Subject(s) - computer science , upload , visualization , statistical analysis , data visualization , data management , database , web service , world wide web , raw data , data mining , java applet , service (business) , information retrieval , java , operating system , statistics , mathematics , economy , economics , programming language

SpA is a web-accessible system for the management, visualization and statistical analysis of T-cell receptor spectratype data. Users upload data from their spectratype analyzers to SpA, which saves the raw data and user-defined supplementary covariates to a secure database. The statistical engine performs several data analyses and statistical summaries. The visualization engine displays spectratype histograms in a Java applet and in an image file suitable for download. All of these results are also saved to the database and remain accessible to the user. Additional statistical tools specific to the analysis of multiple spectratypes are also available through the SpA interface.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research