Neoantigen Vaccine Design (Grade A) logo

Neoantigen Vaccine Design (Grade A)Security-tested data-ai skill for Claude AI. Grade A. Guide the computational pipeline for designing personalized neoantigen cancer vaccines for veterinary patients. Covers tumor/normal sequencing, so

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Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

This skill guides the computational pipeline for designing personalized neoantigen cancer vaccines for veterinary patients. It covers tumor/normal sequencing, somatic variant calling, DLA/MHC typing, neoantigen prediction, and candidate selection. The pipeline is adapted from human precision oncology for veterinary species, with consideration for dogs using DLA instead of HLA. The process involves tumor biopsy and sample collection, whole exome sequencing (WES) and RNA sequencing, and computational neoantigen prediction. This is a research framework and not a DIY protocol; vaccine synthesis and administration require laboratory infrastructure and veterinary oncologist oversight.

Key features

  • Tumor/normal sequencing
  • Somatic variant calling
  • DLA/MHC typing
  • Neoantigen prediction
  • Candidate selection for vaccine design

Pricing

Model
Free
Category
Skills
Rating
No reviews yet

Use cases

Personalized Cancer Treatment for Veterinary Patients

Exploring personalized immunotherapy options for animal cancer patients using neoantigen vaccines

Neoantigen Vaccine Design for Veterinary Oncology

Designing personalized neoantigen cancer vaccines for dogs, cats, or horses using the computational pipeline

Pros & Cons

Pros

  • Provides a comprehensive computational pipeline for personalized neoantigen cancer vaccine design
  • Adapted from human precision oncology, with successful application in a canine case
  • Considers veterinary-specific challenges, such as DLA typing

Cons

  • Requires specialized laboratory infrastructure and veterinary oncologist oversight
  • Not a DIY protocol; institutional ethics approval is necessary
  • Costly, with sample preparation costs typically $200-500

Reviews

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Q&A

What data inputs are required to run the computational pipeline?

You need tumor biopsy samples and matched normal tissue, followed by whole exome sequencing (WES) and RNA sequencing. The pipeline then performs somatic variant calling, DLA/MHC typing, neoantigen prediction, and candidate selection.

Asked by Ulrik Madsen · Mar 24, 2026

What veterinary species are supported by the DLA/MHC typing feature?

The pipeline is adapted from human precision oncology to veterinary species, with specific consideration for dogs using DLA typing. While the framework can be applied to other species, it has been successfully demonstrated in canine cases.

Asked by Zara Ahmed · Mar 15, 2026

Is this tool suitable for a DIY approach or does it need professional oversight?

No, it is a research framework only. Vaccine synthesis, administration, and clinical decisions must be carried out under veterinary oncologist oversight and with institutional ethics approval; it is not a DIY protocol.

Asked by Vasyl Kovalenko · Jan 27, 2026

What is the cost for the sample preparation in this neoantigen vaccine design tool?

Sample preparation typically costs between $200 and $500, covering tumor/normal sequencing and associated laboratory work. Additional costs for vaccine synthesis and administration are not included and require separate clinical infrastructure.

Asked by Urszula Kowalczyk · Jan 11, 2026

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