Rinchai Darawan, Roelands Jessica, Toufiq Mohammed, Hendrickx Wouter, Altman Matthew C, Bedognetti Davide, Chaussabel Damien
Research branch, Sidra Medicine, Doha, Qatar.
Division of Allergy and Infectious Diseases, University of Washington, Seattle, WA, 98195, USA.
Bioinformatics. 2021 Aug 25;37(16):2382-2389. doi: 10.1093/bioinformatics/btab121.
We previously described the construction and characterization of fixed reusable blood transcriptional module repertoires. More recently we released a third iteration ('BloodGen3' module repertoire) that comprises 382 functionally annotated modules and encompasses 14 168 transcripts. Custom bioinformatic tools are needed to support downstream analysis, visualization and interpretation relying on such fixed module repertoires.
We have developed and describe here an R package, BloodGen3Module. The functions of our package permit group comparison analyses to be performed at the module-level, and to display the results as annotated fingerprint grid plots. A parallel workflow for computing module repertoire changes for individual samples rather than groups of samples is also available; these results are displayed as fingerprint heatmaps. An illustrative case is used to demonstrate the steps involved in generating blood transcriptome repertoire fingerprints of septic patients. Taken together, this resource could facilitate the analysis and interpretation of changes in blood transcript abundance observed across a wide range of pathological and physiological states.
The BloodGen3Module package and documentation are freely available from Github: https://github.com/Drinchai/BloodGen3Module.
Supplementary data are available at Bioinformatics online.
我们之前描述了固定可重复使用的血液转录模块库的构建和表征。最近,我们发布了第三个版本(“BloodGen3”模块库),它包含382个功能注释模块,涵盖14168个转录本。需要定制的生物信息学工具来支持依赖此类固定模块库的下游分析、可视化和解释。
我们在此开发并描述了一个R包BloodGen3Module。我们包的功能允许在模块级别进行组间比较分析,并将结果显示为注释指纹网格图。还提供了一个用于计算单个样本而非样本组的模块库变化的并行工作流程;这些结果显示为指纹热图。通过一个示例案例来演示生成脓毒症患者血液转录组库指纹所涉及的步骤。总之,该资源有助于分析和解释在广泛的病理和生理状态下观察到的血液转录本丰度变化。
BloodGen3Module包及其文档可从Github免费获取:https://github.com/Drinchai/BloodGen3Module。
补充数据可在《生物信息学》在线获取。