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New software package employs deep-learning algorithms to analyze T-cell receptor sequencing data Researchers at the Bloomberg~Kimmel Institute for Cancer Immunotherapy at the Johns Hopkins Kimmel Cancer Center have developed DeepTCR, a software package that employs deep-learning algorithms to analyze T-cell receptor (TCR) sequencing data. T-cell receptors are found on the surface of immune T cells. These receptors bind to certain antigens, or proteins, found on abnormal cells, such as cancer cells and cells infected with a virus or bacteria, to guide the T cells to attack and destroy the affected cells. DeepTCR is an open-source software that can be used to answer questions in research into infectious disease, cancer immunology and autoimmune disease; any place where the immune system has a role through its T-cell receptors, said lead study author John-William Sidhom, an M.D./Ph.D. student at the Johns Hopkins University School of Medicine and Department of Biomedical Engineering

United statesJohn william sidhomEmily hendersonNature communicationsAmerican association for cancer researchJohns hopkins kimmel cancer centerBloomberg kimmel institute for cancer immunotherapyDepartment of biomedical engineeringJohns hopkins university school of medicineKimmel instituteJohns hopkins university schoolBiomedical engineeringAmerican associationWilliam sidhomLead studyAutoimmune disease