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Recent Posts

  • Strategic collaboration with VIB-CCB
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  • New publication: neoIM, a predictive model for neoantigen immunogenicity

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The process starts with the collection of both patient blood and a tumor biopsy.

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Whole-Genome Sequencing data from matched tumor and normal DNA is required for each patient.

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Following alignment of these reads to the genome, somatic gene alterations in the tumor genome are detected using a collection of algorithms called 'neoX'.

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Next, these somatic gene alterations are translated in-silico to obtain the tumor-specific peptides

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In a last step, the peptides are prioritized using an immunogenicity predictor (neoIM) and two presentation predictors (neoMS and MHCrank).