genomics

Single-cell RNA sequencing measures gene activity in individual cells instead of averaging a tissue. See how the workflow runs, what it finds, and where it misleads.

The Human Genome Project sequenced all 3 billion base pairs of human DNA for $2.7 billion. Here is how the 13-year effort worked and why it still matters.

The Human Genome Project cost $3 billion, took 13 years, and involved 20 countries — to produce a sequence that was still 8 percent incomplete. A single lab can now sequence a human genome for under $200 in a single day. That price collapse, steeper than Moore's Law for a decade straight, has changed medicine, ancestry research, evolutionary biology, and our understanding of what 'the genome' actually is. The truly complete human genome, published in 2022, revealed nearly 200 million base pairs we never knew existed and overturned the idea that most DNA has no function.

CRISPR has produced its first approved cures for sickle cell disease and beta-thalassemia. Here's what's real, what's coming, and what remains hype in 2026.

How genetic data and machine learning guide drug choice, and what trials of cancer, warfarin, and antidepressant testing actually show.

From bacterial immune system to approved therapies: how CRISPR-Cas9, base editing, and prime editing are rewriting the genetic code of medicine.

How machine learning decodes individual cell states from single-cell RNA sequencing data.

AI is combing through genomic, proteomic, and metabolomic data to identify novel biomarkers—measurable biological signals that predict disease, drug response, and patient outcomes.

Medicine has gone from bloodletting and prayer to gene editing in just a few centuries. Here's how we got there.

Machine learning is making CRISPR more precise and predictable, designing better guide RNAs and anticipating off-target edits before they happen.