A concrete, runnable pipeline that takes FASTQ files from whole-genome and RNA sequencing through alignment, variant calling, and expression quantification, wrapped in Nextflow so it reruns cleanly.
The Yale calculator is Levine's PhenoAge: a nine-biomarker mortality model fit in NHANES III and rescaled into years. Here are the coefficients, the unit traps, the noise floor, and how we would track it over time.
Epigenetic age kits report a number derived from DNA methylation at a few hundred CpG sites. Here is how that number is computed, how much of it is noise, and what to measure instead if you want something you can track.
Biological age tests run from about $75 for a blood-chemistry clock to $300-$500 for a methylation array, with outliers above $1,000. Here is what each tier measures, how reliable it is, and how to compute the same clocks yourself from raw data.
A practical guide to choosing, timing, and interpreting blood and molecular markers for endurance and strength training, including how to tell a real change from analytical noise.
A practical guide to blood biomarker panels: which analytes carry information, how analytical and biological variation limit interpretation, and how to store and analyze your own results over time.
A single fasting glucose of 115 mg/dL is one noisy measurement of a tightly regulated system. Here is how to read it, what measurements resolve the ambiguity, and how to analyze the data yourself.
You can collect a sample at home, but you cannot get clinical-grade whole-genome data from a benchtop device. Here is what each option produces, what the files look like, and how to analyze them yourself.
A working stack for going from a personal WGS VCF to a reviewable variant list: Ensembl VEP for annotation, slivar for filtering, InterVar for ACMG classification, and the checks that keep the whole thing from lying to you.
A practical comparison of VEP, snpEff, ANNOVAR, bcftools csq, and vcfanno for annotating a personal whole-genome VCF, with the flags we use and the failure modes that silently corrupt results.
A practical ranking framework for consumer and clinical whole genome sequencing: what coverage, platform, file formats, and data rights to demand, and how to verify what you received.
A technical guide to biological age testing: what epigenetic clocks measure, which ones to compute, how to get raw methylation data, and the failure modes that make a score move when your biology hasn't.
A technical comparison of consumer genotyping arrays, exomes, short-read whole genomes, and long-read sequencing, judged on the data files you receive and what you can compute from them.
Most blood analytes do not change enough in a month to beat their own noise. Here is the short panel worth drawing monthly, what belongs on a slower cadence, and how to standardize the draw so the numbers mean something.
A layer-by-layer guide to the multi-omics vendor market: instrument makers, service labs, assay platforms, and analysis software, judged by whether they hand you usable raw data.