Theo Nelson (@MakeBrainHappy) header
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Bioinformatics ; Nanopore Direct-RNA Sequencing & Epitranscriptomics @mason_lab

Joined January 2017
Photo by Theo Nelson (@MakeBrainHappy)Photo by Theo Nelson (@MakeBrainHappy)Photo by Theo Nelson (@MakeBrainHappy)Photo by Theo Nelson (@MakeBrainHappy)Photo by Theo Nelson (@MakeBrainHappy)Photo by Theo Nelson (@MakeBrainHappy)Photo by Theo Nelson (@MakeBrainHappy)Photo by Theo Nelson (@MakeBrainHappy)Photo by Theo Nelson (@MakeBrainHappy)
We have been excited to implement the latest @nanopore models released at the Boston Community Meeting in @mason_lab. These are true multi-modification callers for inosine, m5C, m6A, and pseudouridine. The accuracy metrics are attached below. @Stoibs11
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Theo Nelson retweeted
📢 Join us this Friday for the #dkNET #webinar "A Hormone Cell Atlas Maps the Human #Endocrine System at Cellular Resolution" 🎤 Lijiang Fei, PhD, University of Cambridge 📅 Friday, Oct 23, 2026 | 11 AM–12 PM PT 🔗 dknet.org/about/blog/2952 #Endocrinology #SingleCell
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Theo Nelson retweeted
"Modulator Resolves Transcript-, Allele-, and Condition-associated RNA Modification Differences from Direct RNA Sequencing." biorxiv.org/content/10.64898… our lab's cool new algorithm and epitranscritpome analysis tool set led by Theo @MakeBrainHappy in partnership with the Horner lab. Check it out!
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Congratulations to Michael Goneos for delivering an excellent prize-winning talk: "Pilot discovery of allele-specific RNA modifications." Thank you D.C. for a great time at ISMB 2026! #ISMB #HITseq #Nanopore @mason_lab @ISMBinfo @iscb
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Theo Nelson retweeted
Online Now: Activated T cell extracellular vesicle DNA transfer enhances antigen presentation and anti-tumor immunity dlvr.it/TSKVFp
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"Activated T cell extracellular vesicle DNA transfer enhances antigen presentation and anti-tumor immunity" sciencedirect.com/science/ar…
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Check out our new roadmap for single cell analyses of adipose tissue at @NatMetabolism 🧐 Thrilled to share our work put together by amazing colleagues from Adipose Bionetwork in @humancellatlas 🤩 Huge thanks to my fellow co-coordinators @susmandrup Evan D. Rosen and Margo Emont
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This is great! @NIAIDNews have launched a collection of public domain illustrations (currently 550 individual icons) bioart.niaid.nih.gov/
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Our work from the @Axiom_Space Ax-2 missions has been published! Thank you to Dr. Bader Shirah for leading this monumental effort, our partners across academia & the team at @IIAS_NLC for making this happen. Truly a good year for space-based neuroscience research. 🧠🚀👩🏽‍⚕️🏥🌠
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Theo Nelson retweeted
Contamination detection in genomic data: more is not enough | Genome Biology genomebiology.biomedcentral.… #BioInformatics
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Do you remember when you joined Twitter? I do! #MyTwitterAnniversary
Theo Nelson retweeted
(1) Finally out, after one of the most painful and long reviews (with nitpicky reviews, see my last comment) is a method that I am extremely proud of and excited about. One of the best in my career: nature.com/articles/s41592-0…
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🎮 Multiplayer IGV, anyone? Here's a sneak peek of a prototype I built to enable scientists to collaborate on a shared IGV.js view. It uses WebSockets and Cloudflare Durable Objects to sync state.
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🩹Bioprinting bandages 🩺Cancer research 👕Space stain remover 🔬Student experiments And more will launch aboard the next @Space_Station commercial resupply launch! Explore the research: go.nasa.gov/339gHDD
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Our newest work Chromap for fast chromatin profiling analysis is published on Nature Communications today! Chromap significantly reduces the pain of waiting in the era of deep sequencing and single-cell analysis. @haowen_zhang @XShirleyLiu @lh3lh3 nature.com/articles/s41467-0…
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Are the ChIP-seq/(sc)ATAC-seq/Hi-C communities jealous of RNA-seq community for fast data processing with Kallisto/Salmon? With joint forces from @haowen_zhang @XShirleyLiu @lh3lh3, we are thrilled to present Chromap for fast chromatin profiling analysis. biorxiv.org/content/10.1101/…
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`ffq` (Fetch FastQ) is a new command line tool that makes it easier to find #sequencing data from the SRA / GEO / ENA. Importantly `ffq` does not download files, just file metadata / download links in #json format github.com/pachterlab/ffq developed by @lioscro and myself.
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New Video available on MakeTheBrainHappy - Scientific Exploration: #BioInformatics #computationalbiology #compbio #sequencing #rnasequencing - How do you calculate effective counts? youtube.com/watch?v=NkyAsXs5…
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A little feature of the latest #bioinformatics #computationalbiology #compbio video on MakeTheBrainHappy - Scientific Exploration, answering how you can calculate effective length in order to correct for length-based differences in RNA count matrices!