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Title

MOSMAP: Mosquito metagenome analysis pipeline

 

Authors

Umay Kulsum#, Chitra Patankar# & Debasis Biswas*

 

Affiliation

Department of Microbiology, All India Institute of Medical Sciences, Bhopal, India; #Equal Contribution for first author; *Corresponding author

 

Email

Umay Kulsum - E - mail: umay.project@aiimsbhopal.edu.in

Chitra Patankar - E - mail: chitra.phd2019@aiimsbhopal.edu.in

Debasis Biswas - E - mail: debasis.microbiology@aiimsbhopal.edu.in; Phone: +91 7747010312

 

Article Type

Research Article

 

Date

Received February 1, 2025; Revised February 28, 2025; Accepted February 28, 2025, Published February 28, 2025

 

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, Kraken2, 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.

 

Keywords

Mosquito metagenome analysis (MosMAP), bioinformatics pipeline, taxonomic classification, species abundance estimation

 

Citation

Kulsum et al. Bioinformation 21(2): 110-112 (2025)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.