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NEXTA
Why a powerhouse
SCOPE
The full stack, under one roof

Computational biologists, domain experts, data scientists, and engineers working as one integrated team.

AI · ML
AI/ML built into the workflow

Predictive analytics, patient stratification, knowledge graphs, and cohort analytics embedded in every project.

OMICS
Every modality, every scale

RNA-seq, spatial omics, proteomics, metabolomics, genomics, and production-grade bioinformatics pipelines.

DOMAIN
Real therapeutic depth

MD and PhD scientists bringing expertise across oncology, immunology, CNS, nephrology, and rare diseases.

DECISIONS
Insights, not handoffs

From biomarker discovery to Go/No-Go decisions, we deliver actionable scientific outcomes.

capabilities
SCOPE
Multi-OMICs analysis & pipelines

Custom OMICs pipeline development on Nextflow, Airflow, or Databricks. Coverage across bulk RNA-seq, scRNAseq, spatial transcriptomics, proteomics, glycoproteomics, metabolomics, WGS/WES, and HLA typing.

DATA
Data curation & integration

Custom curation, ontology management, FAIRification, semantic enrichment, knowledge graphs, and ETL pipelines — turning unstructured public and literature data into queryable, analysis-ready assets.

AI · ML
Predictive analytics & AI/ML

Machine learning for biomarker discovery, drug response prediction, patient stratification, indication prioritization, and clinical-trial benchmarking. Interpretable models grounded in biological context.

CONSULTING
Scientific consulting

Target identification, prioritization, safety analysis, and dossier building. Disease landscape assessments and knowledge packages. Repositioning, indication expansion, and asset life-cycle management.

SCOPE
Computational biology

Pathway and network analysis, mechanism-of-action elucidation, systems-biology modeling, and integrative multi-OMICs analysis — with biological interpretation that holds up in scientific review.

SCOPE
Applications & visualization

R-Shiny, Java, and cloud-native applications. Custom databases, BioVisualizer™ dashboards, and visualization via Spotfire, Tableau, R, and Python — built around how your scientists actually work.

workflow
therapeutic areas
Start Your Journey
We're happy to walk through scope, approach, and timelines for a target ID program, an OMICs pipeline build, a biomarker study, or anything else in the bioinformatics space.