Multi-Omics Integration: Complex Realities Beyond the Hype
Thread: Multi-omics sounds cool—until you actually try it. Here's are the nuances. 1/ You’ve got RNA-seq. Methylation. Proteomics. Time to “integrate” the data. But how? And why? Let’s break it down. https://t.co/Wxhcp6OJ68
Stop Context Switching to Boost Bioinformatics Productivity
🧵 Bioinformaticians: Drowning in multiple projects? Here's why context switching is killing your productivity—and how to fix it. https://t.co/VIGWIz78Zt
Command-Line Genome Viewers: Terminal Genome Viewer & ASCIIGenome
Terminal Genome Viewer https://t.co/ppe3ckC5kp Another one that is around for a while: ASCIIGenome https://t.co/pnrzu48qZo https://t.co/qRCjn2Rft2
Choosing the Right Color Map Transforms Heatmap Insight
🧵 Heatmaps are everywhere in bioinformatics. But most people get one critical thing wrong: the color map. Understanding this can make or break your visualizations. Let’s dig into how to choose the right color map for your heatmap. https://t.co/TgYRmaVC4b
Latent Space Explained Simply: No More PCA Confusion
🧵"What the heck is Latent Space?" If PCA and VAE confuse you, you're not alone. Here’s a plain-English breakdown you’ll actually understand:
AI Auto-Approves 93% of Prompts, Still Risky
You click "yes" to 93% of Claude Code permission prompts. You stopped reading them after the first 10 minutes. Anthropic built a classifier to click yes for you. It misses 1 in 6 dangerous actions. https://t.co/xQGG3KkBdv
Integrate scRNA‑seq PBMCs only After Evaluating Batch Effects
🧵 Should you integrate single-cell RNA-seq datasets or not? You've got PBMCs from multiple donors. Merge them—or keep them separate? Let's break it down.
PCA Is Just SVD in Disguise
🧵 PCA is everywhere in bioinformatics—but did you know it’s just SVD in disguise? 1/ If you've done bioinformatics, you've likely used PCA. But did you know Singular Value Decomposition (SVD) is at its core? Let’s break it down. 👇 https://t.co/LGtVfpAEsD
AI Speeds Coding Tenfold, but Fundamentals Still Required
1/ I’m bullish on AI—especially for generating code. It 10x’d my coding speed. But there's one thing you still must learn. 👇 https://t.co/lpWDyBJIi2
Bioinformatics Isn’t a One‑Click, Push‑Button Process
🧵 The Myth of Push-Button Bioinformatics 1/ Some think bioinformatics is just pressing a button: 🔘 RNA-seq Analysis 🔘 Make Fancy Figures 🔘 Submit to GenBank If only it were that easy... but reality is very different. https://t.co/HrPErqRzBV
Real‑time Biological Data Is the Missing Link for AI
🧵 Unlocking the true potential of AI and bioinformatics hinges on one missing link: real-time biological data. I saw that Prof. Nikolai Slavov posted this, and that reminds me of how complicated a single cell is. https://t.co/UCUeL2Bdge
Choosing Cutoffs for P‑values, Log2
🧵“What cutoff should I use for p-value, log2FC, or mito content?” This is the most common question I get. Here's why it’s not simple: https://t.co/A4P37eEwdc
Claude Code Automates Browser Testing Directly From Terminal
Claude Code can control your browser. I asked it to test a form on localhost. It opened Chrome, typed in the fields, submitted bad data, and caught a validation error. All from my terminal. No Selenium. No Playwright.
Curated 10‑course Bioinformatics Curriculum Essentials
10 courses for my dream bioinformatics curriculum: 1. Unix Commands with Greg Wilson https://t.co/83VHvTqbMt 2. statistics and R with Rafael Irizarry https://t.co/ofYSIiChoW
Claude Code Now Runs as Recurring Cron Loop
Claude Code just became a cron job. /loop 5m check if the deployment finished. It runs any prompt on a recurring interval while you keep coding in the same session.
