NGS Tutorials May 4, 2026
Designing a production scRNA-seq pipeline with Nextflow
How to architect a reproducible single-cell pipeline that scales from a laptop to AWS Batch without rewriting code.
#scRNA-seq#Nextflow#AWS
Insights
All articles →Scientific writing
Precision Medicine May 24, 2026
Digital Twins in Biology: Building Virtual Humans with Bioinformatics
Virtual computational replicas of organs, tissues and entire patients — how multi-omics, AI and systems biology are building biological digital twins for precision medicine.
#Digital Twins#Precision Medicine#AI#Systems Biology
AI in Biology May 24, 2026
AI-Powered Multi-Omics Integration: The New Era of Precision Medicine
How AI is unifying genomics, transcriptomics, proteomics, spatial and single-cell layers into clinically actionable molecular profiles — and what it means for the future of personalized medicine.
#Multi-Omics#AI#Precision Medicine#Spatial
Spatial Biology May 24, 2026
Spatial Transcriptomics: Mapping Biology in 3D
Preserving the spatial coordinates of gene expression is reshaping cancer research, neuroscience and clinical diagnostics — and AI is unlocking 3D molecular atlases at organ scale.
#Spatial#Transcriptomics#3D Biology#Cancer
Gene Editing May 24, 2026
CRISPR Bioinformatics and AI: The Computational Revolution Behind Gene Editing
Guide RNA design, off-target prediction, single-cell CRISPR screens, base/prime editing and generative Cas engineering — how AI and bioinformatics power modern gene editing.
#CRISPR#AI#Gene Editing#Single-Cell
AI in Biology May 24, 2026
Large Language Models in Bioinformatics: Beyond Chatbots
LLMs are learning the language of biology — DNA, proteins, pathways and literature — powering protein design, omics interpretation and generative biology.
#LLMs#AI#Protein Design#Generative Biology
AI in Biology Apr 22, 2026
Foundation models in biology: what actually works
A pragmatic look at scGPT, Evo, Geneformer and ESM-3, and when classical methods still win.
#AI#scRNA-seq#Genomics
Computational Biology Apr 8, 2026
Cancer multi-omics integration with MOFA2 in practice
Step-by-step walkthrough integrating expression, methylation and mutations into latent factors with biological interpretation.
#Cancer#MOFA2#R
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