$ tommy --field-guide --free-sampler

What they don't teach you in bioinformatics

290 hard-won lessons — the best of three years of daily posts, distilled. The judgment no course teaches, from a wet-lab biologist who became a Big Pharma bioinformatics director. Get 15 of them, free, today.

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From the author of From Cell Line to Command Line · 1,000+ copies sold · 140K+ follow the work.

✓ Free 15-lesson sampler, across all 13 chapters ✓ Founding-reader access this November ✓ No spam. Unsubscribe anytime.

01 — the gap

You can run the pipeline. But is the result right?

Every course teaches the tools: Seurat, DESeq2, the Unix commands. Almost none teach the part that separates a bioinformatician from a button-pusher: judgment.

The sanity checks. The paranoia. The biological common sense that catches the error a p-value never will. That knowledge is tacit. You earn it over a decade of getting burned, or you borrow it from someone who already did.

! Excel silently corrupted your gene symbols — SEPT9 became a date.

! Your UMAP looks like clean clusters. It's lying to you.

! The “batch effect” you ignored is your whole result.

! “Analyze this RNA-seq data” — the prompt that wastes an afternoon.

Catch these yourself, and you stop outsourcing judgment on your own data — and finally trust your own results.

This is the field guide I wish someone had handed me on day one.

Ming “Tommy” Tang · Director of Bioinformatics

02 — what's coming this november

One book. 13 chapters. 290 lessons.

For three years I posted every day (1000 day streak!). Then I pulled the best of 1,000+ posts, distilled a decade of hard-won judgment into 290 lessons, and organized them into 13 chapters — so you get the gold without scrolling three years of my feed. You get it in both a beautifully illustrated edition and a fully searchable one.

01 Learning & Getting Started 25 lessons

02 Programming & Math Basics 11 lessons

03 Craft & Good Practice 28 lessons

04 Career & Collaboration 10 lessons

05 Unix & Command Line 49 lessons

06 Reproducibility & Workflows 34 lessons

07 Visualization 11 lessons

08 RNA-seq 14 lessons

09 Single-Cell & Spatial 17 lessons

10 Genomics & Variants 29 lessons

11 Statistics, Artifacts & Pitfalls 36 lessons

12 AI & Claude Code 12 lessons

13 Drug Development & Clinical 14 lessons

290 lessons · 13 chapters · 2 editions (illustrated + searchable) · wet lab → Big Pharma

03 — your free sampler

15 of the best lessons, sampled across all 13 chapters.

No fluff, no drip-feed. Enter your email and you get a curated 15-lesson sampler drawn from all 13 chapters, pulled straight from the book. The same illustrated pages, so you can judge the real thing before it's for sale. A taste of what's inside:

I Regret Not Learning Linear Algebra in College

The Myth of Push-Button Bioinformatics

How Excel Corrupts Your Gene Symbols

Sixty Unix One-Liner Challenges

How UMAP Can Mislead Your Interpretation

Why No Bioinformatics Analysis Is Quick

Why Genome Builds Matter

Writing Claude Code Prompts That Actually Work

The Batch Effect That Was the Whole Result

Why In Vitro Success Needs DMPK

your free sampler

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04 — who's writing this

“I tackled de novo genome assembly, heatmaps and variant analysis on my own — and realized bioinformatics might just be my thing.”

— Dr. Jingling Li, reader of From Cell Line to Command Line

Director of Bioinformatics in Big Pharma

Boston Business Journal 40 Under 40 (2026)

140,000+ scientists follow the work · 30M+ yearly impressions

1,000+ bought the first book, From Cell Line to Command Line

Author of the Chatomics blog · 230+ tutorials

Came to the US with $2,000 and a wet-lab PhD. Couldn't open a 2GB file in Excel. Taught myself to fix that, and spent the next decade learning what the courses leave out.

Ming “Tommy” Tang — Connect with me on LinkedIn ↗

05 — founding readers

Get on the list now. Get the best of everything.

When the cart opens this November, the people on this list come first — at the lowest price it will ever be, with bonuses no one else gets.

01 The free 15-lesson sampler — today, the instant you join, sampled across all 13 chapters.

02 The founding-reader price — the lowest this book will ever sell for, before it rises to $149.

03 Founding-only bonuses

- My complete first book From Cell Line to Command Line ($59.99),
- A 3-hour hands-on data visualization workshop using ggplot2 and ComplexHeatmap for real genomics data and single-cell data. ($149),
- A 1-hour Claude Code course showing you how to build your website with AI. This is the first advice I always give to the job seekers. ($149)
- If you have bought my first book, you will get a secret bonus when the new book lanuches.


ALL FREE.

04 A 7-day, keep-everything guarantee — the same promise 1,000+ readers already trusted.

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Joining costs nothing and commits you to nothing. It just puts you at the front of the line.