دورية أكاديمية

neoANT-HILL: an integrated tool for identification of potential neoantigens

التفاصيل البيبلوغرافية
العنوان: neoANT-HILL: an integrated tool for identification of potential neoantigens
المؤلفون: Ana Carolina M. F. Coelho, André L. Fonseca, Danilo L. Martins, Paulo B. R. Lins, Lucas M. da Cunha, Sandro J. de Souza
المصدر: BMC Medical Genomics, Vol 13, Iss 1, Pp 1-8 (2020)
بيانات النشر: BMC, 2020.
سنة النشر: 2020
المجموعة: LCC:Internal medicine
LCC:Genetics
مصطلحات موضوعية: Neoantigens, Cancer, Immunogenomic analyses, Internal medicine, RC31-1245, Genetics, QH426-470
الوصف: Abstract Background Cancer neoantigens have attracted great interest in immunotherapy due to their capacity to elicit antitumoral responses. These molecules arise from somatic mutations in cancer cells, resulting in alterations on the original protein. Neoantigens identification remains a challenging task due largely to a high rate of false-positives. Results We have developed an efficient and automated pipeline for the identification of potential neoantigens. neoANT-HILL integrates several immunogenomic analyses to improve neoantigen detection from Next Generation Sequence (NGS) data. The pipeline has been compiled in a pre-built Docker image such that minimal computational background is required for download and setup. NeoANT-HILL was applied in The Cancer Genome Atlas (TCGA) melanoma dataset and found several putative neoantigens including ones derived from the recurrent RAC1:P29S and SERPINB3:E250K mutations. neoANT-HILL was also used to identify potential neoantigens in RNA-Seq data with a high sensitivity and specificity. Conclusion neoANT-HILL is a user-friendly tool with a graphical interface that performs neoantigens prediction efficiently. neoANT-HILL is able to process multiple samples, provides several binding predictors, enables quantification of tumor-infiltrating immune cells and considers RNA-Seq data for identifying potential neoantigens. The software is available through github at https://github.com/neoanthill/neoANT-HILLTest.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1755-8794
83806245
العلاقة: http://link.springer.com/article/10.1186/s12920-020-0694-1Test; https://doaj.org/toc/1755-8794Test
DOI: 10.1186/s12920-020-0694-1
الوصول الحر: https://doaj.org/article/bea0fd838062458d8edc14172abf2fe2Test
رقم الانضمام: edsdoj.bea0fd838062458d8edc14172abf2fe2
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:17558794
83806245
DOI:10.1186/s12920-020-0694-1