Biotechnology, bioinformatics and AI in biology
GenoMethods is a global media publication for people who want to understand how biotechnology, bioinformatics and AI in biology are changing medicine, research and the human future.
We write for readers who care about discoveries before they become everyday medicine: AI-designed molecules, genomic diagnostics, CRISPR therapies, cellular engineering, synthetic biology, longevity science and the data systems behind modern biomedicine.
Our editorial work starts with methods. A headline can say that a therapy is promising; our job is to explain what was measured, where the evidence comes from, how the tool works, which assumptions matter and what still needs to be proven.
GenoMethods began in 2002 as an online resource for artificial intelligence and machine learning methods in bioinformatics. That origin still defines the publication: computational biology is not a side beat for us, but the language through which many modern biotech breakthroughs are now built.
The 2026 return of GenoMethods brings the same method-literate discipline into a larger public newsroom. We cover the companies, products, labs, trials and databases that help turn biological insight into longer, healthier and more informed lives.
What we cover first
AI in Biology
Computational models, scientific agents, biological foundation systems and machine learning applied to living systems
Bioinformatics Methods
Algorithms, reproducible workflows, statistical designs and software practices for biological data
Genomics
Human genomes, population studies, sequencing technologies and variant interpretation
Functional Genomics
Expression dynamics, regulatory networks, pathway analysis and genome-scale perturbation
Drug Discovery
Target discovery, molecule design, translational pipelines and clinical development signals
Gene Editing
CRISPR systems, base editing, prime editing, delivery and therapeutic applications
Cell and Gene Therapy
Engineered cells, viral vectors, manufacturing, clinical outcomes and access questions
Diagnostics
Screening, biomarkers, liquid biopsy, molecular tests and early detection systems
Precision Medicine
Patient stratification, companion diagnostics, real-world evidence and individualized care
Synthetic Biology
Designed organisms, engineered enzymes, biofoundries and programmable biology
Longevity Science
Healthspan, aging mechanisms, biomarkers, geroscience and translational claims
Regenerative Medicine
Organoids, tissue engineering, reprogramming and repair biology
Data and Repositories
Datasets, standards, atlases, ontologies and public knowledge infrastructure
Tools and Platforms
Lab software, sequencing systems, automation, notebooks, models and APIs
Biotech Companies
Profiles, platform analysis, strategy, financing and product ecosystems
Companies, products and methods to watch
Our tag library follows the organizations, tools, therapies and historical methods that shape the field. The full index contains 400 entities selected for global relevance across biotech, genomics, AI drug discovery and clinical translation.
Explore the full companies and products index
A short history
GenoMethods first appeared in 2002, when machine learning and functional genomics were beginning to converge around microarrays, clustering, Bayesian models and public method sharing. The early site supported resources such as CAGED, BEST, BADGE and SCA, each tied to the practical problem of making computational biology usable by researchers.
Today that history matters because the world has moved toward the question GenoMethods asked early: how can computational methods help decode biology and improve human life. The publication now follows that question across a much larger field.