AntiRef: reference clusters of human antibody sequences

Abstract excerpt

<h4>Motivation</h4> Biases in the human antibody repertoire result in publicly available antibody sequence datasets containing many duplicate or highly similar sequences. These redundant sequences are a barrier to rapid similarity searches and reduce the efficiency with which these datasets can be used to train statistical or machine learning models of human antibodies. Identity-based clustering provides a soluti...

Topics

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• Cytomegalovirus and herpesvirus research
• Glycosylation and Glycoproteins Research
• Immune Cell Function and Interaction
• Monoclonal and Polyclonal Antibodies Research
• RNA and protein synthesis mechanisms
• T-cell and B-cell Immunology
• vaccines and immunoinformatics approaches

Identifiers and source

Literature Corpus work

34bb64ad-aa97-5062-9461-a68aa257c823

DOI

10.1101/2022.12.30.522338