论文标题
SOS：在线概率估计和T和B细胞受体的产生
SOS: Online probability estimation and generation of T and B cell receptors
论文作者
论文摘要
在建模VDJ重组和随后选择T和B细胞受体的最新进展提供了有用的工具，可以分析和比较跨时间，个体和组织。一套工具 - igor [1]，Olga [2]和Sonia [3] - 已公开发布给社区，允许从高通量测序数据中推断生成和选择模型。但是，使用这些工具需要一些脚本或命令行技巧以及对复杂数据集的熟悉。结果，上述模型的应用尚未向广泛的受众提供。在此应用程序注释中，我们通过呈现简单的Olga＆Sonia（SOS）来填补这一空白，这是一个基于Web的接口，没有编码技能的用户可以计算其序列的生成和选择后概率，并生成合成序列的批次。该应用程序还可以在手机上起作用。
Recent advances in modelling VDJ recombination and subsequent selection of T and B cell receptors provide useful tools to analyze and compare immune repertoires across time, individuals, and tissues. A suite of tools--IGoR [1], OLGA [2] and SONIA [3]--have been publicly released to the community that allow for the inference of generative and selection models from high-throughput sequencing data. However using these tools requires some scripting or command-line skills and familiarity with complex datasets. As a result the application of the above models has not been available to a broad audience. In this application note we fill this gap by presenting Simple OLGA & SONIA (SOS), a web-based interface where users with no coding skills can compute the generation and post-selection probabilities of their sequences, as well as generate batches of synthetic sequences. The application also functions on mobile phones.
