VDJdb in 2019: database extension, new analysis infrastructure and a T-cell receptor motif compendium. Academic Article uri icon

Overview

abstract

  • Here, we report an update of the VDJdb database with a substantial increase in the number of T-cell receptor (TCR) sequences and their cognate antigens. The update further provides a new database infrastructure featuring two additional analysis modes that facilitate database querying and real-world data analysis. The increased yield of TCR specificity identification methods and the overall increase in the number of studies in the field has allowed us to expand the database more than 5-fold. Furthermore, several new analysis methods are included. For example, batch annotation of TCR repertoire sequencing samples allows for annotating large datasets on-line. Using recently developed bioinformatic methods for TCR motif mining, we have built a reduced set of high-quality TCR motifs that can be used for both training TCR specificity predictors and matching against TCRs of interest. These additions enhance the versatility of the VDJdb in the task of exploring T-cell antigen specificities. The database is available at https://vdjdb.cdr3.net.

publication date

  • January 8, 2020

Research

keywords

  • Computational Biology
  • Databases, Genetic
  • Nucleotide Motifs
  • Receptors, Antigen, T-Cell
  • V(D)J Recombination

Identity

PubMed Central ID

  • PMC6943061

Scopus Document Identifier

  • 85075469598

Digital Object Identifier (DOI)

  • 10.1093/nar/gkz874

PubMed ID

  • 31588507

Additional Document Info

volume

  • 48

issue

  • D1