IntScore statistics

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Citations per year

Number of citations per year for the bioinformatics software tool IntScore

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Associated diseases


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IntScore specifications


Unique identifier OMICS_10342
Name IntScore
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability No
Maintained No


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Publication for IntScore

IntScore citations


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

[…] the confidence level of protein interactions on a scale between 0 and 1, and aggregates 11 pathway databases for gene set enrichment analysis (GSEA). We chose interactions with high confidence score (Intscore >0.9). Additionally, we plotted all possible high-confidence interactions for all novel loci ().To investigate how our updated set of novel SLE loci were related to each other and to previous […]


Whole exome sequencing identifies novel candidate genes that modify chronic obstructive pulmonary disease susceptibility

Hum Genomics
PMCID: 4705629
PMID: 26744305
DOI: 10.1186/s40246-015-0058-7

[…] . The largest module contained 96 % (154) of the seeds and 50 intermediate nodes; the remaining two modules contained a total of six seeds and two intermediates. Removing low confidence interactions (IntScore <0.5) [] maintained 138 (38 %) seeds (network2 FCBF tab in Additional file ; one module of 37 intermediate nodes and 126 seeds, plus five smaller networks encompassing the remaining 12 seeds […]

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IntScore institution(s)
Vertebrate Genomics Department, Max Planck Institute for Molecular Genetics, Berlin, Germany
IntScore funding source(s)
The European Commission under its Seventh Framework Programme with the grant diXa [283775]; German Ministry of Education and Research [MedSys PREDICT, 0315428A; NGFNp, NeuroNet-TP3, 01GS08171]; Max Planck Society

IntScore review

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Ramyachitra Duraisamy's avatar image No country

Ramyachitra Duraisamy

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i could not access this tool. I want to find the confidence of protein protein interaction data. Can you please help me