Article ID Journal Published Year Pages File Type
8418412 Journal of Immunological Methods 2012 7 Pages PDF
Abstract
Here we present an immunoinformatics pipeline for the identification of miHAs. The pipeline can be applied to large-scale miHA screening, for example, in the development of diagnostic tests. Another interesting application is the design of personalized miHA-based cancer therapies based on patient-donor pair-specific miHAs detected by this pipeline. The suggested method covers various aspects of genetic variant detection, effects of alternative transcripts, and HLA-peptide binding. A comparison of our computational pipeline and experimentally derived datasets shows excellent agreement and coverage of the computationally predicted miHAs.
Related Topics
Life Sciences Biochemistry, Genetics and Molecular Biology Biotechnology
Authors
, , , , , ,