2018
DOI: 10.1111/imm.12984
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Development of a novel clustering tool for linear peptide sequences

Abstract: SummaryEpitopes identified in large‐scale screens of overlapping peptides often share significant levels of sequence identity, complicating the analysis of epitope‐related data. Clustering algorithms are often used to facilitate these analyses, but available methods are generally insufficient in their capacity to define biologically meaningful epitope clusters in the context of the immune response. To fulfil this need we developed an algorithm that generates epitope clusters based on representative or consensu… Show more

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Cited by 82 publications
(76 citation statements)
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“…IEDB epitope cluster analysis tool was applied to group all HLA-I and HLA-II epitopes in clusters (10). Minimum sequence identity threshold was 70% and cluster-break algorithm was applied.…”
Section: Clusteringmentioning
confidence: 99%
“…IEDB epitope cluster analysis tool was applied to group all HLA-I and HLA-II epitopes in clusters (10). Minimum sequence identity threshold was 70% and cluster-break algorithm was applied.…”
Section: Clusteringmentioning
confidence: 99%
“…IEDB epitope cluster analysis tool was applied to group all HLA-I and HLA-II epitopes in clusters (13). Minimum sequence identity threshold was 70% and cluster-break algorithm was applied.…”
Section: Clusteringmentioning
confidence: 99%
“…Epitope cluster analysis tool from IEDB (Dhanda et al, 2018) was used to identify the overlapping peptides among the top CTL, HTL and BCL epitopes at minimum sequence identity threshold of 100%. The identified clusters and singletons (unique epitopes) were utilized in a sequential manner to design the final vaccine constructs.…”
Section: Epitope Cluster Analysis and Vaccine Constructionmentioning
confidence: 99%