Which Multi-Omics Companies Are Worth Using, and For What
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.
Tag: multi-omics
11 posts
How to Analyze Your Own RNA-Seq Data
A practical pipeline for taking personal bulk RNA-seq FASTQs through quality control, quantification, normalization, and interpretation, with the parameters and failure modes that matter when n=1.
How to Buy Metabolomics Services and Analyze the Data Yourself
A practical guide to choosing between untargeted and targeted metabolomics providers, what you get in the deliverable, and how to process the data yourself in mzML, XCMS, and MetaboAnalyst.
What an Omics Database Contains, and Which Ones to Use for Your Own Data
A practical map of omics data types, the public databases worth querying, and how to structure your own multi-omics data so annotation queries return something useful.
Omics Analysis Tools: What to Use for Your Own Genome, Transcriptome, and Proteome
A practical map of the software that turns raw multi-omics files into results you can query, with the commands, formats, and failure modes that matter for a single person's data.
What Proteomics Results Tell You, and How to Read Your Own
A plasma proteomics report measures the relative abundance of hundreds to thousands of circulating proteins. Here is what the numbers mean, how the three main platforms differ, and how to analyze your own data without fooling yourself.
How to Analyze Your Own Plasma Proteomics Data
A working guide to taking personal proteomics data from raw instrument files or NPX tables to a quantitative matrix, QC'd and normalized, and then to within-person statistics you can defend.
How to Run Correlation Analysis on Your Own RNA-Seq Data
A practical guide to correlating genes, samples, and timepoints in personal RNA-seq data: which transform to use before computing a coefficient, how to filter, how to handle confounders, and how to correlate expression against proteomics, labs, and continuous glucose data.
What blood test startups sell and how to read the results
A technical assessment of the consumer blood panel companies: who runs the assays, what the $349-$499 membership buys, how to get structured data out, and why a 100-biomarker panel flags something for almost everyone.
Multi-Omics Companies: Who Sells What, and What You Can Get
A map of the multi-omics vendor market in four layers, what files each layer hands back, and how to evaluate a provider if you want data you can analyze yourself.
What Software to Use for Analyzing Your Own Omics Data
A concrete stack for working with personal genome, transcriptome, proteome, and biomarker data: file formats, tools, commands, and where each approach breaks down.