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. 2020 Sep 29;49(D1):D468–D474. doi: 10.1093/nar/gkaa796

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© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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Figure 1. — Overview of TCRdb. (A) The pipeline of data collection and processing. The TCR-Seq raw data from SRA after quality control were performed by three methods to extract TCR sequences and then intersected. TCR sequences from other TCR databases were also imported. (B) The data architecture of TCRdb, all data were formed a three-layer structure, comprised of project, sample, and sequence. (C) The search function of TCRdb. TCRdb provides two kinds of search method: ‘Fuzzy search’ and ‘Regex search’, allowing the search for similar sequences or sequences with a specific pattern. The search results are listed and visualized in interactive statistical plots by sample distribution and V-J gene usage. (D) The browse function of TCRdb. Users could browse specific projects or samples in TCRdb for their TCR repertoire.