计算生物学
资源(消歧)
生物
计算机科学
抗体
免疫系统
DNA测序
序列(生物学)
原始数据
数据挖掘
数据科学
基因
遗传学
计算机网络
程序设计语言
作者
Aleksandr Kovaltsuk,Jinwoo Leem,Sebastian Kelm,James Snowden,Charlotte M. Deane,Konrad Krawczyk
出处
期刊:Journal of Immunology
[American Association of Immunologists]
日期:2018-09-14
卷期号:201 (8): 2502-2509
被引量:277
标识
DOI:10.4049/jimmunol.1800708
摘要
Abs are immune system proteins that recognize noxious molecules for elimination. Their sequence diversity and binding versatility have made Abs the primary class of biopharmaceuticals. Recently, it has become possible to query their immense natural diversity using next-generation sequencing of Ig gene repertoires (Ig-seq). However, Ig-seq outputs are currently fragmented across repositories and tend to be presented as raw nucleotide reads, which means nontrivial effort is required to reuse the data for analysis. To address this issue, we have collected Ig-seq outputs from 55 studies, covering more than half a billion Ab sequences across diverse immune states, organisms (primarily human and mouse), and individuals. We have sorted, cleaned, annotated, translated, and numbered these sequences and make the data available via our Observed Antibody Space (OAS) resource at http://antibodymap.org The data within OAS will be regularly updated with newly released Ig-seq datasets. We believe OAS will facilitate data mining of immune repertoires for improved understanding of the immune system and development of better biotherapeutics.
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