MOSMAP: Mosquito metagenome analysis pipeline
Umay Kulsum, Chitra Patankar, Debasis Biswas

TL;DR
MosMAP is a user-friendly pipeline for analyzing mosquito metagenomes, streamlining complex bioinformatics tasks.
Contribution
MosMAP integrates multiple tools into a simplified pipeline for mosquito metagenome analysis.
Findings
MosMAP showed high concordance with standard workflows in read retention and taxonomic accuracy.
The pipeline supports microbiology, ecology, and vector-borne disease research by simplifying metagenomic analysis.
Abstract
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…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsMosquito-borne diseases and control
