Omics with Johnson 101

A practical guide to bioinformatics

Biological Data is Physical Data

Stop running pipelines. Understand the fluorescence, chemistry, and algorithms that shape your signal.

Open the Computational Black Box

From the Burrows-Wheeler Transform to deep neural networks, master the foundations of genomic AI.

From Single Cells to Mass Spectrometry

Map the high-dimensional landscape of biological systems using single-cell transcriptomics, spatial coordinates, and proteomics.

A Core Paradigm for Bioinformatics

• Principles Over Pipelines: The ultimate asset is not any single programming language or workflow manager, but the physical, mathematical, and statistical fundamentals that govern biological data.
• No Black Boxes: Every sequence mapping, statistical model, and neural network output rests on concrete physical truths—not default parameters.
• First-Principles Mastery: Stop simply running tools; start designing experiments by understanding how biological signals are physically captured and mathematically modeled.