SOS：T和B细胞受体的在线概率估计和生成
SOS: Online probability estimation and generation of T and B cell receptors
摘要：
最近在模拟VDJ重组和随后选择T和B细胞受体方面的进展为分析和比较不同时间、个体和组织的免疫库提供了有用的工具。一套工具-IGoR [1]，OLGA [2]和SONIA [3]-已经公开发布给社区，允许从高通量测序数据中推断生成和选择模型。然而，使用这些工具需要一些脚本或命令行技能，并熟悉复杂的数据集。因此，上述模式的应用还没有提供给广大受众。在本应用笔记中，我们通过介绍Simple OLGA & SONIA（SOS）来填补这一空白，这是一个基于Web的界面，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，以及生成合成序列的批次。该应用程序也可以在手机上运行。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
