Kulsum Umay, Patankar Chitra, Biswas Debasis
Department of Microbiology, All India Institute of Medical Sciences, Bhopal, India.
Bioinformation. 2025 Feb 28;21(2):110-112. doi: 10.6026/973206300210110. eCollection 2025.
MosMAP is a bioinformatics pipeline designed for mosquito metagenome analysis. MosMAP automates essential processes like quality control, taxonomic classification, species abundance estimation and visualization by integrating tools such as Trimgalore, Kraken 2, Bracken and Krona into a user-friendly workflow. Each of these tools is integrated to ensure a smooth and efficient workflow from raw data to interpretable results. The pipeline simplifies complex bioinformatics tasks, making them accessible to researchers with limited computational expertise. MosMAP demonstrated high concordance with standard bioinformatics workflows such as Kraken and Bracken in terms of read retention, taxonomic accuracy and abundance estimation when applied to metagenomes of mosquito collected in Bhopal, India. This accessible pipeline promotes the simplification of meta-genomics, supporting research in microbiology, ecology and vector-borne diseases.
MosMAP是一个专为蚊子宏基因组分析设计的生物信息学流程。MosMAP通过将诸如Trimgalore、Kraken 2、Bracken和Krona等工具集成到一个用户友好的工作流程中，实现了质量控制、分类学分类、物种丰度估计和可视化等基本过程的自动化。这些工具中的每一个都经过整合，以确保从原始数据到可解释结果的工作流程顺畅且高效。该流程简化了复杂的生物信息学任务，使计算专业知识有限的研究人员也能够进行操作。当应用于印度博帕尔采集的蚊子宏基因组时，MosMAP在读取保留率、分类学准确性和丰度估计方面与Kraken和Bracken等标准生物信息学工作流程表现出高度一致性。这个易于使用的流程促进了宏基因组学的简化，支持微生物学、生态学和媒介传播疾病方面的研究。
