Seqera

Modern computational workflows are increasingly incorporating tasks that require dedicated GPU hardware. 💻 Research using AI, ML, protein folding, and other tasks can involve complicated setup and configuration. Our latest blog post shows how Seqera Platform and the Batch Forge feature can build flexible, customizable and scalable infrastructure that can intelligently schedule heterogenous GPU and CPU workloads to cost-efficient hardware on AWS. 🚀 👉 Check it out: https://hubs.la/Q030f8HW0

Join us for our first webinar of 2025! 🎉 As the volume of genomic data continues to grow, translating it into meaningful scientific insights becomes increasingly challenging, demanding substantial computational power and advanced bioinformatics techniques. This is further complicated when data resides across different laboratories and biobanks, creating bottlenecks and delaying research progress. This webinar will explore how Seqera is lowering the barrier to bioinformatics tools, making it easier than ever to perform end-to-end scientific data analysis! 👉 Secure your place: https://hubs.la/Q0300QGn0

Missed the New Era for #Nextflow webinar last week? The recording is now available on-demand! 🎉 Watch now to explore: 🔹Updates to the Nextflow VS Code extension 🔹The powerful new Nextflow language server 🔹Upcoming improvements to Nextflow syntax 👉 https://hubs.la/Q02_KB4q0 #Nextflow #VSCode #LanguageServer #Syntax

At Seqera, we believe that AI isn’t just a tool - it’s the future of scientific discovery. We're committed to harnessing its transformative power to revolutionize the Life Sciences. Check out our latest article in Genetic Engineering & Biotechnology News exploring how #Nextflow and #AI are transforming scientific research. 🚀 📖 Read now: https://hubs.la/Q02_Bq3D0 #Nextflow #SeqeraAI #Bioinformatics

Last chance!⏳The call for #NextflowAmbassadors 2025 is closing this week! If you’re passionate about bioinformatics, workflows, and making a real impact, apply now! 🌐 Program website: https://hubs.la/Q02_dJGv0 👉 Apply here: https://hubs.la/Q02_dLCb0 Get inspired by some incredible stories from our current Nextflow Ambassadors! 💡 "How I became a Nextflow Ambassador" by Firas Zemzem 🔗 https://lnkd.in/drKtJCpU “One-year reflections on Nextflow Mentorship” by Anabella Trigila, Ph.D. 🔗 https://lnkd.in/darQEJYQ "My Journey with Nextflow: From Exploration to Automation” by Pritam Kumar Panda, Ph.D. 🔗 https://lnkd.in/dayv_Wyp “Reflecting on a six-month collaboration: insights from a Nextflow Ambassador” by Cristina Tuñí i Domínguez 🔗 https://lnkd.in/dcF3uEWQ “Fostering Bioinformatics Growth in Türkiye” by Kübra NARCI, PhD 🔗 https://lnkd.in/dmXbbgSe “How Nextflow builds key software development skills for bioinformaticians” by Simon Murray 🔗 https://lnkd.in/d9vdX3kR Don't miss out! Apply now: https://hubs.la/Q02_dLCb0

🔎 Easily run molecular structure predictions on CPUs/GPUs and seamlessly visualize results in an interactive, reproducible and containerized environment with Seqera's Data Studios! Import nf-chai, a prototype #Nextflow pipeline for running predictions on entities supported by Chai-1, directly into your Seqera Workspace from Seqera Pipelines. Try it now: https://hubs.la/Q02_dWhx0

Exciting news! 🎉You can now try Chai-1, the SOTA model for biomolecular structure prediction by Chai Discovery, with Seqera! We have developed a prototype #Nextflow pipeline called nf-chai to run predictions on any entities supported by Chai-1, including protein sequences and small molecules in FASTA format. ✔ Quickly locate nf-chai on Seqera Pipelines ✔ Easily provide your input sequences ✔ Launch nf-chai using GPUs on your own infrastructure ✔ Perform interactive analysis to further explore results The nf-chai pipeline was created using the nf-core pipeline template and is publicly available on GitHub, as well as from Seqera Pipelines: 💡 GitHub: https://hubs.la/Q02_47fM0 👉 Seqera Pipelines: https://hubs.la/Q02_6L940

📢 Last chance to register! #Nextflow Webinar Happening Tomorrow! Join us for our last webinar of #2024 where you will learn about: 🔹Updates to the Nextflow VS Code extension, including streamlined workflow development with features like real-time feedback and auto-completion, all designed to elevate the developer experience. 🔹The powerful new Nextflow language server, which improves coding support across IDEs and introduces syntax refinements that elevate Nextflow from a DSL to a robust, standalone programming language. 🔹Upcoming improvements to Nextflow syntax, and how to identify and understand new warnings you may encounter when loading your pipeline code for the first time with the VS Code extension. 👉 Register now: https://hubs.la/Q02-TDqR0

💡Seqera accelerates scientific development by integrating data, code, computing, and environments, empowering researchers to develop and deploy bioinformatics pipelines faster. Focus on what really matters, your science. "By running our Nextflow pipelines with Seqera, we now spend 50% less time compared to running individual workflows on EC2. Also, by leveraging nf-core pipelines and tools, we spend 80% less time developing workflows." - Sage Bionetworks 🔗 Read the case study: https://hubs.la/Q02-wxnC0

Achieving consistent results with Conda and Docker, both now and over time, is easier than ever! 🎉 Wave now generates Conda lockfiles alongside containers, locking every dependency for precise reproducibility. 🔹Locked Environments: Match software setups inside and outside containers. 🔹Faster Builds: Skip dependency resolution with explicit version pinning and direct package URIs 🔹Transparent & Portable: Combine container portability with Conda transparency. 👉 Learn more: https://hubs.la/Q02-kC9Z0 #Reproducibility #Wave