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DEApp specifications

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Unique identifier OMICS_15524
Name DEApp
Interface Web user interface
Restrictions to use None
Input data Two files are required as input data for this application, the ‘Raw Count Data’ and ‘Meta-data Table’. The ‘Raw Count Data’ contains summarized count results of all samples in the experiment, and the ‘Meta-data Table’ contains summarized experimental design information for each sample.
Programming languages R
License GNU General Public License version 2.0
Computer skills Basic
Stability Stable
Requirements
R shiny, R::shiny, edgeR, limma, DESeq2
Maintained Yes

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Maintainer


  • person_outline Jorge Andrade <>

Publication for DEApp

DEApp citations

 (2)
library_books

High dimensional biological data retrieval optimization with NoSQL technology

2014
PMCID: 4248814
PMID: 25435347
DOI: 10.1186/1471-2164-15-S8-S3

[…] [] or custom r workflows for further analysis or visualization., table shows a typical structure of a microarray table that is used in a relational database system. this example is based on the deapp schema used in the implementation of transmart 1.1. gene_symbol, probeset_id, patient_id, trial_name correspond to basic annotation data; raw, log and zscore are probeset values []., a classic […]

library_books

Room temperature redox reaction by oxide ion migration at carbon/Gd doped CeO2 heterointerface probed by an in situ hard x ray photoemission and soft x ray absorption spectroscopies

2013
PMCID: 5090320
PMID: 27877594
DOI: 10.1088/1468-6996/14/4/045001

[…] is applied to the present hebb–wagner-type asymmetric cell with the combination of reversible and bkes, the to2 - value can be estimated using the current interruption method by evaluating deopen/deapp. here, eapp and eopen are the applied bias and open-circuit voltage (ocv) measured immediately after interrupting a steady-state current, as superimposed in figure (a), showing the time […]


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DEApp institution(s)
Center for Research Informatics, University of Chicago, Knapp Center for Biomedical Discovery, Chicago, IL, USA
DEApp funding source(s)
This work has been supported by the Biological Sciences Division at the University of Chicago with additional funding provided by the Institute for Translational Medicine, CTSA grant number UL1TR000430 from the National Institutes of Health.

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