isalgo/airr_benchmark

该数据集是一个基准数据集，汇集了来自多种AIRR（适应性免疫受体测序）工具和算法的数据，包括但不限于VDJtools、VDJdb、ALICE、TCRnet、GLIPH/GLIPH2和pyigmap。这些数据涵盖了T细胞受体（TCR）和B细胞受体（BCR）的免疫遗传学研究，涉及基序分析、抗原特异性、RNA-seq测序等方面，用于评估和比较不同工具的性能。数据来源包括多项已发表的研究，例如Glanville等人关于T细胞受体特异性组识别的Nature论文、Huang等人关于结核分枝杆菌免疫反应的GLIPH2应用研究、Emerson等人的混合淋巴细胞反应培养高通量测序分析、10X Genomics提供的单细胞数据、Qi等人关于人类T细胞库多样性的研究、Britanova等人关于个体T细胞库动态变化的研究，以及Emerson等人关于巨细胞病毒暴露史和HLA介导效应的免疫测序分析。Benchmark datasets from various AIRR (Adaptive Immune Receptor Repertoire) tools and algorithms, including, but not limited to VDJtools, VDJdb, ALICE, TCRnet, GLIPH/GLIPH2, and pyigmap. These datasets encompass immunogenetics research on T cell receptors (TCR) and B cell receptors (BCR), covering motif analysis, antigen specificity, RNA-seq sequencing, and other aspects, used for evaluating and comparing the performance of different tools. Data sources include multiple published studies, such as Glanville et al.s Nature paper on identifying specificity groups in the T cell receptor repertoire, Huang et al.s research on analyzing Mycobacterium tuberculosis immune response with GLIPH2, Emerson et al.s high-throughput sequencing of mixed lymphocyte reaction cultures, single-cell data from 10X Genomics, Qi et al.s study on diversity and clonal selection in the human T-cell repertoire, Britanova et al.s work on dynamics of individual T cell repertoires, and Emerson et al.s immunosequencing analysis of cytomegalovirus exposure history and HLA-mediated effects.