registrieren | anmelden | FAQ      [?] 
CiteULike is a free online bibliography manager. Register and you can start organising your references online.
Recent | Unread | Search | Authors | Tags | Export

DAnTE: a statistical tool for quantitative analysis of -omics data

by: Ashoka D Polpitiya, Wei-Jun Qian, Navdeep Jaitly, Vladislav A Petyuk, Joshua N Adkins, David G Camp, Gordon A Anderson, Richard D Smith
Bioinformatics (3 May 2008), btn217.


View FullText article


X Reviews [Write a review of this article]

There are no reviews of this article

X Find related articles from these CiteULike users

X Find related articles with these CiteULike tags

X Abstract

Summary: DAnTE (Data Analysis Tool Extension) is a statistical tool designed to address challenges associated with quantitative bottom-up, shotgun proteomics data. This tool has also been demonstrated for microarray data and can easily be extended to other high-throughput data types. DAnTE features selected normalization methods, missing value imputation algorithms, peptide to protein rollup methods, an extensive array of plotting functions, and a comprehensive hypothesis testing scheme that can handle unbalanced data and random effects. The Graphical User Interface (GUI) is designed to be very intuitive and user friendly. Availability: DAnTE may be downloaded free of charge at http://ncrr.pnl.gov/software/ Contact: rds@pnl.gov or proteomics@pnl.gov Supplementary information: An example dataset with instructions on how to perform a series of analysis steps is available at http://ncrr.pnl.gov/software/ 10.1093/bioinformatics/btn217


X BibTeX record

X RIS record



RIS BibTeX
CiteULike organises scholarly (or academic) papers or literature and provides bibliographic (which means it makes bibliographies) for universities and higher education establishments. It helps undergraduates and postgraduates. People studying for PhDs or in postdoctoral (postdoc) positions. The service is similar in scope to EndNote or RefWorks or any other reference manager like BibTeX, but it is a social bookmarking service for scientists and humanities researchers.