flâneur

ctglab/ENEO

github.com · 125 words · saved by 1 readers

ENEO (pronunced /eˈnɛjo/) is a Snakemake workflow developed for detecting immunogenic neoantigens arising from somatic mutations using only bulk tumor RNA-seq, without requiring matching samples or additional genomic data (WES/WGS). It uses a probabilistic model that leverages population genetics databases and genotype likelihoods to discriminate germline variants from the call set. Additional details are reported in the bioRxiv preprint. Pipeline documentation is available at https://ctglab.github.io/ENEO If you used this workflow in your work, don't forget to give credit to the authors by citing the original publication Tatoni, D., Dalsass, M., Brunelli, G., Grandi, G., Chiariello, M., & D'Aurizio, R. (2024). Efficient and effective identification of cancer neoantigens from tumor only RNA-seq. bioRxiv, 2024-08. There was an error while loading. Please reload this page. There was an error while loading. Please reload this page.

ENEO ENEO (pronunced /eˈnɛjo/ ) is a Snakemake workflow developed for detecting immunogenic neoantigens arising from somatic mutations using only bulk tumor RNA-seq, without requiring matching samples or additional genomic data (WES/WGS). It uses a probabilistic model that leverages population genetics databases and genotype likelihoods to discriminate germline variants from the call set. Additional details are reported in the publication . Usage Pipeline documentation is available at https://ctglab.github.io/ENEO Cite If you used this workflow in your work, don't forget to give credit to the

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