DeepTCR is a deep learning framework for revealing sequence concepts within T-cell repertoires

NATURE, 11/03/2021 / Partagé par : Beesens TEAM , le 07/04/2021
DeepTCR is a deep learning framework for revealing sequence concepts within T-cell repertoires

"Next-generation sequencing (NGS) has allowed a comprehensive description and understanding of the complexity encoded at the genomic level in a wide variety of organisms. The applications of NGS have grown rapidly as this technology has become a molecular microscope for understanding the genomic basis for the fundamental functions of the cell1. In parallel to this explosion of NGS applications, in the machine learning world, deep learning has seen a similar expansion of applications as computational resources have grown; there exist many opportunities to apply deep learning in genomics as the data generated from NGS are very large and highly complex.
T cell receptor sequencing (TCR-Seq) is an application of NGS that has allowed scientists across many disciplines to characterize the diversity of the adaptive immune response.
By selectively amplifying and sequencing the highly diverse antigen-specific CDR3 region of the β-chain of the T cell receptor, scientists have been able to study clonal expansion as a probe for responses to both foreign and native potential antigens..." > Lire la suite

Partagé par : Beesens TEAM , le 07/04/2021

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