SUSPECTS statistics

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Citations per year

Number of citations per year for the bioinformatics software tool SUSPECTS
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Tool usage distribution map

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Associated diseases

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SUSPECTS specifications

Information


Unique identifier OMICS_06532
Name SUSPECTS
Interface Web user interface
Restrictions to use None
Input data The region of interest and the training set.
Computer skills Basic
Version 28.3
Stability Stable
Maintained Yes

Taxon


  • Primates
    • Homo sapiens

Maintainer


  • person_outline Euan Adie

Additional information


http://www.cgem.ed.ac.uk/resources/suspects/help.shtml

Publication for SUSPECTS

SUSPECTS citations

 (5)
library_books

Understanding the molecular mechanisms of human microtia via a pig model of HOXA1 syndrome

2015
PMCID: 4457031
PMID: 26035869
DOI: 10.1242/dmm.018291

[…] domains, participation in the same signaling or metabolic pathways, and phenotypically similar abnormities in knockout mice (; ). Here, we used three computational algorithms (ToppGene, Endeavour and Suspects) to prioritize gene lists from the 337 DEGs by searching for their similarities to the 32 previously known microtia-implicated genes. We found that 13 genes ranked in the top 20% across the t […]

library_books

Candidate Gene Identification for Systemic Lupus Erythematosus Using Network Centrality Measures and Gene Ontology

2013
PLoS One
PMCID: 3847089
PMID: 24312583
DOI: 10.1371/journal.pone.0081766

[…] es etc for predicting the candidate gene.Recently, several online tools have been developed for prioritizing candidate genes, which usually combine the different in silico approaches , . For example, SUSPECTS ranks genes by matching sequence features, GO terms, interpro domains, and gene expression data. ToppGene uses functional annotations, protein interaction networks to prioritize disease spe […]

library_books

Improving Disease Gene Prioritization by Comparing the Semantic Similarity of Phenotypes in Mice with Those of Human Diseases

2012
PLoS One
PMCID: 3375301
PMID: 22719993
DOI: 10.1371/journal.pone.0038937

[…] n a protein-protein interaction network to identify gene–disease associations. Another system, ENDEAVOUR , utilizes a set of known genes to create profiles which are then used to find matching genes. SUSPECTS prioritizes genes from a given chromosomal region, according to available gene and protein information, that might be implicated in a disease. Since most of the available tools rely on known […]

library_books

Disease Gene Characterization through Large Scale Co Expression Analysis

2009
PLoS One
PMCID: 2797297
PMID: 20046828
DOI: 10.1371/journal.pone.0008491

[…] enome wide association study intervals , . Unlike information based approaches for prioritizing genes in intervals such as peer reviewed literature and Gene Ontology (e.g. Prospector , GeneWanderer , SUSPECTS , PosMed , GeneSniffer , etc.), using gene expression data may rank all the genes in an interval even those with little characterization (e.g. novel genes). Current tools (GeneDistiller and […]

library_books

Identification of candidate disease genes by integrating Gene Ontologies and protein interaction networks: case study of primary immunodeficiencies

2008
Nucleic Acids Res
PMCID: 2632920
PMID: 19073697
DOI: 10.1093/nar/gkn982

[…] ion between the genes or their products as the basis of the predictions (). The individual disease gene predictions usually apply one or two of these approaches, such as in the PhenoPred system () or SUSPECTS ().Most of the algorithms have been implemented locally, but there are also Internet-based services dedicated to disease gene predictions, and some are parts of more general servers that can […]


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SUSPECTS institution(s)
Medical Genetics Section, School of Molecular and Clinical Medicine, University of Edinburgh, UK

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