Automated Bioinformatics Analysis via AutoBA
Juexiao Zhou Bin Zhang Xiuying Chen Haoyang Li Xiaopeng Xu Siyuan Chen Xin Gao
With the fast-growing and evolving omics data, the demand for streamlined and
adaptable tools to handle the analysis continues to grow. In response to this
need, we introduce Auto Bioinformatics Analysis (AutoBA), an autonomous AI
agent based on a large language model designed explicitly for conventional
omics data analysis. AutoBA simplifies the analytical process by requiring
minimal user input while delivering detailed step-by-step plans for various
bioinformatics tasks. Through rigorous validation by expert bioinformaticians,
AutoBA's robustness and adaptability are affirmed across a diverse range of
omics analysis cases, including whole genome sequencing (WGS), RNA sequencing
(RNA-seq), single-cell RNA-seq, ChIP-seq, and spatial transcriptomics. AutoBA's
unique capacity to self-design analysis processes based on input data
variations further underscores its versatility. Compared with online
bioinformatic services, AutoBA deploys the analysis locally, preserving data
privacy. Moreover, different from the predefined pipeline, AutoBA has
adaptability in sync with emerging bioinformatics tools. Overall, AutoBA
represents a convenient tool, offering robustness and adaptability for complex
omics data analysis.