DAPPLE statistics

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Citations per year

Number of citations per year for the bioinformatics software tool DAPPLE

Tool usage distribution map

This map represents all the scientific publications referring to DAPPLE per scientific context
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Associated diseases


Popular tool citations

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DAPPLE specifications


Unique identifier OMICS_05948
Interface Web user interface
Restrictions to use None
Computer skills Basic
Version 2.0
Stability Stable
Maintained Yes


Additional information

http://saphire.usask.ca/saphire/dapple2/about.html Previous version of the tool available at http://saphire.usask.ca/saphire/dapple/index.html

Publications for DAPPLE

DAPPLE citations


Heterogeneous contribution of microdeletions in the development of common generalised and focal epilepsies

J Med Genet
PMCID: 5574393
PMID: 28756411
DOI: 10.1136/jmedgenet-2016-104495

[…] s did not show significant differences after correction for multiple testing (online ). Finally, to evaluate the entire pool of genes exclusively deleted in patients in a network context, we used the DAPPLE to assess protein–protein interactions networks with a higher number of interconnections than expected. As DAPPLE uses a non-brain-specific network, we filtered the input genes based on brain e […]


Molecular characterization of breast cancer cell lines through multiple omic approaches

PMCID: 5460504
PMID: 28583138
DOI: 10.1186/s13058-017-0855-0

[…] phosphorylation events. Phosphorylation events represented on the array were selected from databases of experimentally defined phosphorylation events and from those predicted by the software program DAPPLE2 []. Additional peptide substrates were included to represent proteins, and their associated phosphorylation events, that were shown in the literature to be differentially regulated in a number […]


Comparative analysis of protein interactome networks prioritizes candidate genes with cancer signatures

PMCID: 5346681
PMID: 27791983
DOI: 10.18632/oncotarget.12879

[…] ion. In order to evaluate the power of different interactome datasets, we used network centrality to rank genes in this study. Although other well-established disease gene prioritization methods like DAPPLE [], Metaranker [], PRINCE [] and some random walk methods [, ] have been demonstrated to be valuable methods for predicting disease related genes, it is complex to compare these different metho […]


Computational Analysis of the Predicted Evolutionary Conservation of Human Phosphorylation Sites

PLoS One
PMCID: 4821552
PMID: 27046079
DOI: 10.1371/journal.pone.0152809

[…] ntally-determined phosphorylation sites in many species is limited, it is difficult to accurately calculate the fi’s using experimental data. Thus, we calculated the fi’s by employing the online tool DAPPLE [] to predict phosphorylation sites in the various species using experimentally-determined phosphorylation sites from human (the species with the greatest number of known phosphorylation sites) […]


High density genotyping of immune related loci identifies new SLE risk variants in individuals with Asian ancestry

Nat Genet
PMCID: 4767573
PMID: 26808113
DOI: 10.1038/ng.3496

[…] In order to investigate how our novel loci interact with other genes, we used curated network interactions using the Disease Association Protein-Protein Link Evaluator database (DAPPLE V2.0). We used a seed of all our novel loci (both left and right flanking genes were also used for intergenic signals) and 20,000 within-degree-node permutations. We chose to simplify our netwo […]


A Comparison of the Chicken and Turkey Proteomes and Phosphoproteomes in the Development of Poultry Specific Immuno Metabolism Kinome Peptide Arrays

PMCID: 4668846
PMID: 26664921
DOI: 10.3389/fvets.2014.00022

[…] ruit fly have relatively well-annotated proteomes and phosphoproteomes, other species such as chicken, turkey, sheep, and honey-bee are less well-studied. Within the custom-designed software pipeline DAPPLE (), one uses databases of experimentally determined phosphorylation sites from other organisms to query the complete proteome of the species of interest for orthologous phosphorylation sites. U […]

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DAPPLE institution(s)
Vaccine and Infectious Disease Organization, University of Saskatchewan, Saskatoon, SK, Canada; Department of Computer Science, University of Saskatchewan, Saskatoon, SK, Canada; Department of Biochemistry, University of Saskatchewan, Saskatoon, SK, Canada

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