Edmund Miller

Edmund Miller

@edmundmiller.dev

PhD Candidate @ UT Dallas in the Functional Genomics Lab working on Nascent RNA identification @nf-co.re Bioinformatics Engineer @seqera.io https://link.edmundmiller.dev/

1.4K followers1.9K following70 posts

Edmund Miller reposted

🚀 Introducing the @nextflow.io Plugins Registry: a centralized repository for discovering, sharing, and managing #Nextflow plugins. We've streamlined the entire plugin lifecycle for the bioinformatics community. 🧑‍💻Explore today: hubs.la/Q03P_Q8t0

Edmund Miller reposted

Edmund Miller reposted

Edmund Miller reposted

Super excited to share our review on genomic deep learning models for non-coding variant effect prediction, with Ayesha Bajwa and Nilah Ioannidis. We’d like this review to be a useful resource, and welcome any feedback, comments, or questions! 1/4 arxiv.org/abs/2411.11158

arxiv.orgLeveraging genomic deep learning models for non-coding variant effect predictionThe majority of genetic variants identified in genome-wide association studies of complex traits are non-coding, and characterizing their function remains an important challenge in human genetics. Gen...

Edmund Miller reposted

We got some amazing results from combining @seqera.io Fusion and NVIDIA Healthcare Parabricks! Can’t wait to start implementing all of the benefits of gpu workflows across all of the @nf-co.re pipelines!

Seqera@seqera.io

🚀 We’ve teamed up with #NVIDIA to help bioinformatics teams scale faster, analyze more efficiently, and simplify cloud operations 🧵 📖 Read now: hubs.la/Q03rQZx-0

What is This, a Crossover Episode? So excited to see the Modern Data Stack and Modern Biotech Stack collide!

Nextflow@nextflow.io

We’ve thrilled to announce a powerful new capability: native Databricks SQL support in @nextflow.io via the nf-databricks plugin! 🎉 🔗 Learn more: hubs.la/Q03rCjFY0

Edmund Miller reposted

Supporting Community at the Core of Innovation 🌍🙌 We were honored to provide space at the #NextflowSummit Boston for the incredible Boston Women in Bioinformatics group to gather, connect, and celebrate a major milestone: becoming a 501(c)(3) nonprofit! 🎉

Edmund Miller reposted

To continue advancing the vision that scientific innovation runs on software, we are thrilled to announce that Seqera has closed it’s Series B funding, led by Addition, with participation from Speedinvest, Talis, Amino Collective, BoxOne, and SNR! Learn more: hubs.la/Q03lcmf20

hubs.laScaling the Future of Scientific Software: Seqera Raises $26M Series BToday, we're ecstatic to announce that Seqera has raised $26 million in Series B funding, led by Addition with participation from Speedinvest, Talis, Amino Collective, BoxOne, and SNR. This milestone ...

Edmund Miller reposted

Dive into Pixi Packages! 🛠️ Build packages from source 📦 Cross-platform and cross-language ✨ Build backends for powerful standards! Currently released as a preview feature, with improvements dropping daily!

Edmund Miller reposted

Next week is the March 2025 @nf-co.re #hackathon! 🎉 With 44 local sites across 27 countries, this event is truly global 🌏🌏🌎 We have 992 people registered - so close to 1000! Register here: nf-co.re/events/2025/... 🎟 ✍️ If you still need convincing, here's a little video to whet your appetite 👩🏻‍💻

Edmund Miller reposted

🎤Call for Speakers! The @nextflow.io Summit returns to Boston this May! We’re looking for speakers to showcase groundbreaking research, innovative solutions, and real-world success stories. 👉 Submit your abstract by March 14 to be part of the lineup: hubs.la/Q036sG6T0

Edmund Miller reposted

Attending #SLAS2025? Don't miss our exclusive Exhibitor Tutorial at 2:00 PM today in Room 24C! In this talk, we will discuss how @nextflow.io and Seqera are simplifying the analysis of large-scale sequencing and cell imaging data! 🔗 Can't attend? Get the recording instead: hubs.la/Q034lfYZ0

Edmund Miller reposted

At Stockholm University, we are now starting a 2-year Master’s programme in Evolutionary Genomics! Topics include population genetics, phylogenetics, molecular & genome evolution, DNA sequencing, bioinformatics, and palaeogenetics. Please spread the word! www.su.se/english/sear...

Edmund Miller reposted

Congrats to Johannes Linder, David Kelley et al. on the journal publication of Borzoi - a long context sequence models of RNA-seq coverage profiles with many nice applications for transcriptional & post-transcriptional regulation & variant effect prediction. www.nature.com/articles/s41... 1/

nature.comPredicting RNA-seq coverage from DNA sequence as a unifying model of gene regulation - Nature GeneticsBorzoi adapts the Enformer sequence-to-expression model to directly predict RNA-seq coverage, enabling the in-silico analysis of variant effects across multiple layers of gene regulation.

Edmund Miller reposted

Another little uv trick I learned yesterday: ``` uvx --from git+https://github.com/httpie/cli httpie ``` You can just run #Python scripts from any git repo, no need for them to publish on PyPI.

The speed of uv isn't what drew me in. It's the small developer experience improvements over other Python package managers that have me hooked and excited about Python for the first time.

Edmund Miller reposted

Our ChromBPNet preprint out! www.biorxiv.org/content/10.1... Huge congrats to Anusri! This was quite a slog (for both of us) but we r very proud of this one! It is a long read but worth it IMHO. Methods r in the supp. materials. Bluetorial coming soon below 1/

biorxiv.orgChromBPNet: bias factorized, base-resolution deep learning models of chromatin accessibility reveal cis-regulatory sequence syntax, transcription factor footprints and regulatory variantsDespite extensive mapping of cis-regulatory elements (cREs) across cellular contexts with chromatin accessibility assays, the sequence syntax and genetic variants that regulate transcription factor (T...
Anshul Kundaje@anshulkundaje.bsky.social

Aiming to release our long awaited ChromBPNet preprint by early next week as well. I'm recovering from back to back infections for the past 6 weeks. But we're almost there. We have some solid variant prediction benchmarks in there against large supervised models and lots more. Stay tuned.