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快速克隆家族推断和分析从大规模B细胞受体目录测序数据的协议

Kaixuan Wang¹, Linru Cai¹, Hao Wang²

¹Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.

|March 19, 2024

概括

本研究提供了一个计算管道,用于从测序数据中快速识别和分析B细胞受体 (BCR) 克隆家族. 它通过简化数据处理和分析,简化了对B细胞免疫反应的理解.

科学领域:

免疫学免疫学免疫学
生物信息学是一种生物信息学.
计算生物学计算生物学

背景情况:

B细胞受体 (BCR) 谱系测序对于理解免疫反应至关重要.
在大型BCR数据集中识别克隆家族在计算上具有挑战性.
对于广泛的测序数据,现有的方法可能缺乏效率.

研究的目的:

从BCR重链测序数据中快速推断克隆家族的计算管道.
提供功能模块,用于简化BCR目录的集群后分析.
为了促进B细胞免疫反应的综合分析.

主要方法:

开发一个用于克隆家族推断的计算管道.
实现功能模块用于后集群分析.
软件安装,数据准备和分析执行的指南.

主要成果:

该管道允许从批量BCR重链测序数据中快速识别克隆家族.
功能模块简化了推断的克隆家族的分析.
该方法提供了一种系统的方法来分析BCR曲目.

结论:

开发的管道为分析BCR目录序列数据提供了一个有效的解决方案.
该工具有助于通过全面的克隆家族分析阐明B细胞免疫反应.
该协议促进了B细胞免疫学的可重复和系统的研究.

关键词:

生物信息学是一种生物信息学.免疫学免疫学免疫学序列分析是指进行序列分析.

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