iReceptor: A platform for querying and analyzing antibody/B-cell and T-cell receptor repertoire data across federated repositories.
iReceptor: A platform for querying and analyzing antibody/B-cell and T-cell receptor repertoire data across federated repositories.
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DOI：
10.1111/imr.12666
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发表时间：
2018-07
影响因子：
8.7
通讯作者：
Breden F
中科院分区：
文献类型：
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作者：
Corrie BD;Marthandan N;Zimonja B;Jaglale J;Zhou Y;Barr E;Knoetze N;Breden FMW;Christley S;Scott JK;Cowell LG;Breden F
下一代测序允许在精致的细节表征适应性免疫受体库（AIRR）。这些大规模的AIRR-seq数据集已迅速成为疫苗开发、了解自身免疫性疾病和传染性疾病的免疫反应以及监测抗癌新疗法的关键。然而，目前还没有一种简单的方法来比较不同研究和机构之间的AIRR-seq数据集。结合和比较不同疾病状况信息的能力将大大提高AIRR-seq数据在改善生物医学研究和患者护理方面的价值。iReceptor数据集成平台（gateway.ireceitor.org）提供了AIRR社区（AIRR- community.org）设想的AIRR数据共享的一种实现，该社区正在开发协议，以促进AIRR-seq数据的共享和比较。iReceptor科学网关连接分布式（联合）AIRR-seq存储库，允许在多个机构的多个研究中进行序列搜索或元数据查询，返回满足特定标准的序列集。我们回顾了iReceptor的发展，以及它如何适应共享基因组和健康数据的大趋势，以及描述和报告AIRR-seq数据的标准的发展。有兴趣将AIRR-seq数据库整合到iReceptor平台的研究人员，请联系ireceptor-help@sfu.ca。
Next Generation Sequencing allows the characterization of the Adaptive Immune Receptor Repertoire (AIRR) in exquisite detail. These large-scale AIRR-seq data sets have rapidly become critical to vaccine development, understanding the immune response in autoimmune and infectious disease, and monitoring novel therapeutics against cancer. However, at present there is no easy way to compare these AIRR-seq data sets across studies and institutions. The ability to combine and compare information for different disease conditions will greatly enhance the value of AIRR-seq data for improving biomedical research and patient care. The iReceptor Data Integration Platform (gateway.ireceptor.org) provides one implementation of the AIRR Data Commons envisioned by the AIRR Community (airr-community.org), an initiative that is developing protocols to facilitate sharing and comparing AIRR-seq data. The iReceptor Scientific Gateway links distributed (federated) AIRR-seq repositories, allowing sequence searches or metadata queries across multiple studies at multiple institutions, returning sets of sequences fulfilling specific criteria. We present a review of the development of iReceptor, and how it fits in with the general trend toward sharing genomic and health data, and the development of standards for describing and reporting AIRR-seq data. Researchers interested in integrating their repositories of AIRR-seq data into the iReceptor Platform are invited to contact ireceptor-help@sfu.ca.
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影响因子：
30.8
作者：
Emerson, Ryan O.;DeWitt, William S.;Robins, Harlan S.
通讯作者：
Robins, Harlan S.
实现癌症基因组数据的共同愿景。
DOI：
10.1056/nejmp1607591
发表时间：
2016-09-22
期刊：
The New England journal of medicine
影响因子：
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作者：
Grossman RL;Heath AP;Ferretti V;Varmus HE;Lowy DR;Kibbe WA;Staudt LM
通讯作者：
Staudt LM
影响因子：
64.8
作者：
通讯作者：
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影响因子：
7.3
作者：
Christley S;Scarborough W;Salinas E;Rounds WH;Toby IT;Fonner JM;Levin MK;Kim M;Mock SA;Jordan C;Ostmeyer J;Buntzman A;Rubelt F;Davila ML;Monson NL;Scheuermann RH;Cowell LG
通讯作者：
Cowell LG
DOI：
10.1126/science.aaf6162
发表时间：
2016-06-10
期刊：
Science (New York, N.Y.)
影响因子：
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作者：
通讯作者：
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