Genetic Genie's methylation panel reads about two dozen genotypes out of a consumer array file. This guide shows how to extract and verify those calls yourself, what they can and cannot tell you, and how to measure actual DNA methylation if that is what you were after.
Pharmacogenomic panels marketed for ADHD medication selection rest on thin evidence for stimulants. Here is what the genotypes predict, which variants have real pharmacokinetic support, and how to extract them from your own sequencing data.
A postprandial reading of 97 mg/dL is a normal, unremarkable value in a person without diabetes. Here is what the number tells you, what it does not, and how to read postprandial glucose properly from CGM or fingerstick data.
How to run a genome-wide association study in R end to end, from VCF to QC to association testing to polygenic scores, and what you can and cannot do with a single genome.
HIPAA compliance is a property of the entity holding your data, not of a sequencing assay. Here is what HIPAA does and does not cover for genetic data, what to read in a lab's contract instead, and how to take custody of your own FASTQ, BAM, and VCF files.
Dehydration concentrates plasma by a few percent, which is far too small to explain most ALT and AST elevations. Here is what usually causes them, how to draw a clean measurement, and how to read enzymes against your own genomic and proteomic baseline.
A working pipeline for taking Olink, SomaScan, or DIA-NN output into R: QC, missingness, normalization, and longitudinal within-person modeling of a single individual's plasma proteome.
A working pipeline from FASTQ files to gene-level counts, differential expression, and enrichment, using salmon, pytximport, and PyDESeq2, with the failure modes specific to blood RNA from a single person.
A post hoc |log2FC| > 1 filter is the wrong tool. Test against a fold-change threshold directly with DESeq2's lfcThreshold or edgeR's glmTreat, shrink effect sizes before ranking, and pick the threshold from your own replicate structure.
How Rob Phillips turns molecular biology into estimates and equations: order-of-magnitude reasoning, counting molecules with coin flips, the thermodynamic model of gene regulation, and what the same method would look like applied to a person's own data.
A practical pipeline for turning a tellmeGen raw data export into a build-verified VCF, running quality control, annotating it, and understanding what a genotyping array can and cannot tell you.
Arthur Mattuck's derivation of the Laplace transform as the continuous analogue of a power series, and where the transform does real work in pharmacokinetics, gene circuits, signaling, stochastic gene expression, and survival analysis.
What quantum mechanics says about measurement, where observer and observed are genuinely coupled in biology, and why a longitudinal personal dataset has to account for the effect of measuring on the person measured.
Michael Levin's "Ingressing Minds" asks where the shape and behavior of never-before-existing organisms come from. We read the paper, weigh its proposal against the mainstream view, and connect it to de-extinction and to the difference between simulating data and fitting models to it.
A practical comparison of Oxford Nanopore, Illumina, Element, PacBio, and Sanger for sequencing one person's genome: why we would choose nanopore long reads, what to ask a provider for, and the pipeline we would run on the output.
A practical comparison of DNA methylation tests: which array, which clocks, how to get the raw IDATs, and how to process them yourself with sesame and dnaMethyAge. Plus the noise sources that make a single epigenetic age number close to meaningless.
A CGM measures the output of your glucose system, not its input. Here is what a sensor can and cannot tell you about insulin sensitivity, and the paired measurements that make the trace interpretable.
Over-the-counter continuous glucose monitors are now sold directly to adults in the US. Which one to buy, what their accuracy numbers mean, how to export the data, and what to compute once you have it.
The Sinclair-associated biological age test is a buccal DNA methylation clock. Here is what methylation clocks measure, how noisy they are, and how to get data you can analyze yourself.
A FoundMyFitness report is a literature annotation layer on top of a consumer genotyping array. Here's how to audit the underlying file, rebuild the analysis yourself, and understand where array data runs out.