遇见数据集

Vdjdb: A Curated Database Of T-Cell Receptors With Known Antigen Specificity

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Zenodo2025-02-21 更新2026-05-25 收录
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<strong>DISCLAIMER You are free to use VDJdb in research studies for the purpose of RepSeq sample and T-cell clonotype list annotation. However, the authors request priority in publishing a meta-analysis of the dataset aggregated and stored here. This message will be removed once VDJdb is officially published in a peer-review journal.</strong> The primary goal of VDJdb is to facilitate access to existing information on T-cell receptor antigen specificities, i.e. the ability to recognize certain epitopes in certain MHC contexts. Our mission is to both aggregate the scarce TCR specificity information available so far and to create a curated repository to store such data. In addition to routine database updates providing the most up-to-date information, we make our best to ensure data consistency and fight irregularities in TCR specificity reporting with a complex database validation scheme: We take into account all available information on experimental setup used to identify antigen-specific TCR sequences and assign a single confidence score to highligh most reliable records at the database generation stage. Each database record is also automatically checked against a database of V/J segment germline sequences to ensure standardized and consistent reporting of V-J junctions and CDR3 sequences that define T-cell clones.

免责声明:您可将VDJdb用于研究工作,以对免疫组库测序(RepSeq)样本及T细胞克隆型列表进行注释。但作者要求优先发表针对本数据集所聚合存储内容的荟萃分析。本提示将在VDJdb正式发表于同行评议期刊后移除。 VDJdb的核心目标是助力获取T细胞受体(TCR)抗原特异性相关的现有信息——此类特异性指T细胞在特定主要组织相容性复合体(MHC)背景下识别特定表位的能力。 我们的使命在于两点:一是整合目前已公开的稀缺T细胞受体特异性信息,二是搭建经人工审核整理的存储库以留存此类数据。 除通过常规数据库更新以提供最新信息外,我们还依托一套复杂的数据库验证机制,竭力保障数据一致性,纠正T细胞受体特异性信息报告中的不规范之处: 1. 在数据库构建阶段,我们会全面考量用于鉴定抗原特异性TCR序列的所有实验设计相关信息,并为每条记录赋予单一置信度评分,以突出最可靠的数据条目。 2. 每条数据库记录还会自动与V/J基因种系序列数据库进行比对,确保V-J连接区及定义T细胞克隆的互补决定区3(CDR3)序列的报告符合统一标准且保持一致。

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Zenodo
创建时间:
2017-05-25
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