AI-Assisted Bioinformatics
Machine learning-enabled workflows for biomarker discovery, variant prioritization, and predictive genomics.
AI-Powered Microbiome, Metagenomics & Microbial Community Analysis for Human Health, Agriculture & Environmental Research

RASA Life Science Informatics provides advanced Metagenomics & Microbiome analysis services that enable researchers to characterize microbial communities, understand host–microbe interactions, identify functional pathways, and discover microbiome-based biomarkers across diverse biological and environmental systems.
Our bioinformatics workflows support shotgun metagenomics, 16S rRNA sequencing, whole-metagenome sequencing (WMS), microbial diversity studies, functional profiling, resistome analysis, and microbiome-driven biomarker discovery. We help pharmaceutical companies, biotechnology organizations, hospitals, research institutes, agricultural researchers, and environmental scientists transform complex sequencing datasets into actionable biological insights.
Using scalable, cloud-ready, and reproducible pipelines, we support microbiome research across human health, oncology, gastrointestinal disorders, infectious diseases, agriculture, veterinary sciences, food safety, and environmental monitoring.
Characterize microbial composition and diversity across biological samples.
Comprehensive characterization of microbial communities at species and functional levels.
Investigate the biological functions encoded within microbial communities.
Understand how microbial communities influence host physiology and disease.
Identify antimicrobial resistance genes and resistance mechanisms.
Gut, oral, skin, respiratory, and disease-associated microbiome studies.
Microbiome-associated cancer biomarkers and therapeutic response analysis.
Microbial community profiling and pathogen surveillance.
Microbiome-driven patient stratification and biomarker discovery.
Plant microbiome, soil microbiome, livestock health, and agricultural biotechnology research.
Environmental monitoring, biodiversity assessment, and ecosystem studies.
Characterization of microbial richness, diversity, and community structure.
Identification of metabolic pathways and microbial functions.
Discovery of microbiome signatures linked to disease and therapeutic response.
Detection and characterization of antimicrobial resistance genes.
Identification of predictive and diagnostic microbial biomarkers.
Machine learning-enabled workflows for biomarker discovery, variant prioritization, and predictive genomics.
Support for Illumina, Oxford Nanopore, PacBio HiFi, and 10x Genomics platforms.
From raw sequencing data to biological interpretation and publication-ready reports.
Deployable on AWS, Google Cloud, HPC clusters, and secure on-premise environments.
Built using Nextflow, Snakemake, Docker, and Singularity for enterprise-grade bioinformatics operations.
Get in touch with our team in Pune, India to discuss sample sizes, platform details, and custom bioinformatics pipeline configurations for your research program.
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