Ming "Tommy" Tang

@tangming2005 · Boston, MA · joined 10 Dec 2011

Director of bioinformatics at AstraZeneca. YouTube at chatomics. On my way to helping 1 million people learn bioinformatics. Also talks about leadership.

46 886Followers

2 662Following

76 882Posts total

103.2KViews on collected posts

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Ming "Tommy" Tang@tangming200516 Sep

Cancer treatment alters mutant selection in normal esophagus https://t.co/1TBphDhNCb https://t.co/MjczjXl5ND

560 views · 7 likes · 0 reposts · 0 replies Open on X →

Ming "Tommy" Tang@tangming200516 Sep

fastVEP: A high-performance Variant Effect Predictor written in Rust. https://t.co/l9bxxSDDul https://t.co/m4zXMnjO9P

962 views · 5 likes · 1 reposts · 4 replies Open on X →

Ming "Tommy" Tang@tangming200516 Sep

Everyone wants to master bioinformatics fast. But speed is a lie — time is the ally. What a decade actually taught me about learning this field. 1 of 290 👉 https://t.co/D9hfIdcztU https://t.co/RO6SyABUCR

867 views · 20 likes · 2 reposts · 1 replies Open on X →

Ming "Tommy" Tang@tangming200515 Sep

@tangming2005 wonder if polyA selection in rna-seq dodges this or if gRNAs still sneak through 20 views · 0 likes · 0 reposts · 0 replies Open on X →

Ming "Tommy" Tang@tangming200515 Sep

"guide RNAs copurify during RNA extraction and inhibit RT–qPCR for amplicons spanning or upstream of the guide RNA binding site" A pervasive RT–qPCR artifact inflates RNA knockdown by RNA-targeting CRISPR https://t.co/ISud2dkGtk https://t.co/OjnpOcBmgn

1.6K views · 22 likes · 6 reposts · 1 replies Open on X →

Ming "Tommy" Tang@tangming200515 Sep

Enjoy this tweet? follow me @tangming2005 and join my newsletter to learn computational biology https://t.co/w5URe0YlWz 645 views · 0 likes · 0 reposts · 1 replies Open on X →

Ming "Tommy" Tang@tangming200514 Sep

@tangming2005 yeah the implicit centering killing sparsity in irlba still haunts me 439 views · 1 likes · 0 reposts · 1 replies Open on X →

Ming "Tommy" Tang@tangming200514 Sep

1 of 290 in the field guide. Free sampler 👉 https://t.co/D9hfIdcztU 2.1K views · 15 likes · 3 reposts · 0 replies Open on X →

Ming "Tommy" Tang@tangming200514 Sep

My biggest bioinformatics regret: barely passing linear algebra in college. Every matrix, PCA, and single-cell method made me pay for it later. Here's what I wish I'd learned. https://t.co/yU55wA8XhH

19.1K views · 182 likes · 15 reposts · 4 replies Open on X →

Ming "Tommy" Tang@tangming200522 Apr

@tangming2005 A great resource. A lot of people need exactly this kind of step-by-step bridge between a paper figure and a real workflow. It also complements well what we share at @Dldbioscience, where we focus more on the downstream analysis side once that first replication step 204 views · 1 likes · 0 reposts · 0 replies Open on X →

Ming "Tommy" Tang@tangming200525 Jul 2025

@tangming2005 全基因组复制在维管植物的物种形成过程中普遍存在, 被认为是物种适应极端环境的重要机制之一，对吧？ 725 views · 2 likes · 0 reposts · 0 replies Open on X →

Ming "Tommy" Tang@tangming200526 Jun 2025

@tangming2005 I just noticed you haven't used Twitter in 20 years? 493 views · 1 likes · 0 reposts · 0 replies Open on X →

Ming "Tommy" Tang@tangming200522 Feb 2025

The guide I wish I had 12 years ago: a step-by-step guide to replicate a genomics paper figure https://t.co/xUftcdYz9K 75.4K views · 659 likes · 101 reposts · 17 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

9 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม ต่ำกว่าบัญชีรุ่นเดียวกันทั้งการเข้าถึงและการมีส่วนร่วม.

ยอดดูมัธยฐาน867บัญชีนี้924ค่ามัธยฐานของ 10K–100K

การเข้าถึง, %1.85%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K

การมีส่วนร่วม, %1.06%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 10K–100K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	867	924	0.94×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	1.85%	3.62%	0.51×
อัตราการมีส่วนร่วม	1.06%	1.52%	0.70×

บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

75.4K22 Feb

49326 Jun

72525 Jul

20422 Apr

19.1K14 Sep

2.1K

439

64515 Sep

1.6K

86716 Sep

962

560

Last 13 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.03%22 Feb

0.20%26 Jun

0.28%25 Jul

0.49%22 Apr

1.06%14 Sep

0.84%

0.46%

0.16%15 Sep

1.87%

0.00%

2.65%16 Sep

1.14%

1.25%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes48.0%915 in total

Reposts6.7%128 in total

Replies1.5%29 in total

Quotes0.3%5 in total

Bookmarks43.5%829 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

Followers by day

16 Sep

Daily snapshots since 16 Sep 2026; the dashed line is the starting count.

โพสต์ล่าสุด

เทียบกับบัญชีขนาดเดียวกัน

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Followers by day

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