The NextGen Blog

Deep dives into bioinformatics, genomics, cybersecurity, and the future of life sciences technology.

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The Future of Single-Cell Multi-Omics: Integrating Transcriptomics, Epigenomics, and Proteomics

Single-cell technologies have revolutionized our understanding of cellular heterogeneity. But the real breakthroughs are happening at the intersection of multiple omics layers. We explore the latest computational frameworks for multi-modal integration and what they mean for drug discovery.

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HIPAA in the Age of Cloud Genomics: A 2026 Compliance Checklist

With genomic data increasingly moving to the cloud, HIPAA compliance has become more complex than ever. Here's our updated checklist for ensuring your cloud genomics infrastructure meets every requirement.

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AlphaFold and Beyond: How AI is Reshaping Structural Biology in Drug Discovery

Protein structure prediction has leaped forward with AI. We examine the practical applications for pharmaceutical R&D and how to integrate these tools into your existing pipelines.

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AWS vs GCP vs Azure for Bioinformatics: A Head-to-Head Comparison

Choosing the right cloud provider for genomics workloads is critical. We benchmark all three major platforms on cost, HPC performance, managed services, and compliance features.

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Building Reproducible Nextflow Pipelines: Lessons from 100+ Production Deployments

Reproducibility is the foundation of good science. We share battle-tested patterns for building Nextflow pipelines that work reliably across environments, teams, and scales.

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Zero Trust Architecture for Genomic Data: A Practical Implementation Guide

Genomic data is among the most sensitive information in existence. We walk through implementing a zero trust security model specifically designed for life sciences organizations.

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Precision Medicine in 2026: Where We Are and Where We're Headed

From pharmacogenomics to liquid biopsy, precision medicine is transforming healthcare. We analyze the current landscape and predict the trends that will define the next five years.

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Foundation Models for Genomics: Training LLMs on DNA Sequences

Large language models aren't just for text. We explore the emerging field of genomic foundation models, how they're trained, and their potential to transform variant interpretation.

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Cutting Your Genomics Cloud Bill by 60%: Spot Instances, Autoscaling, and Smart Storage

Genomics workloads can be expensive in the cloud. We share proven strategies that have saved our clients hundreds of thousands of dollars without sacrificing performance.

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Spatial Transcriptomics: Mapping Gene Expression in Tissue Architecture

Spatial transcriptomics is bridging the gap between single-cell resolution and tissue context. We review the major platforms, analysis tools, and the computational challenges involved.

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