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The pipeline should also be able to predict putative Neo-epitopes based on structural variants (SV). Currently we only support SNVs and small indels. Predicting Neo-epitopes based on SV could reveal further therapy targets, e.g. deriving from gene-fusions. A common SV annotation tool is Manta
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That feature would be indeed needed, especially for pre-clinical individualized trials we are involved into from time to time. I guess one could make use of additional evidence from RNA-Seq whether the fusion genes is indeed expressed, in order to confirm the importance of the variant.
That feature would be indeed needed, especially for pre-clinical individualized trials we are involved into from time to time. I guess one could make use of additional evidence from RNA-Seq whether the fusion genes is indeed expressed, in order to confirm the importance of the variant.
Hi Stefan, I am not sure if Jonas had a closer look into this already. At the moment it is not entirely clear to me what would be needed to support this. On a high level I assume:
parsing functions for Manta-annotated variants
function(s) to incorporate structural variants accordingly
Description of feature
The pipeline should also be able to predict putative Neo-epitopes based on structural variants (SV). Currently we only support SNVs and small indels. Predicting Neo-epitopes based on SV could reveal further therapy targets, e.g. deriving from gene-fusions. A common SV annotation tool is Manta
The text was updated successfully, but these errors were encountered: