Heading into Boston for ASHG 2025! 🧬 The Pluto Bio team is excited to see everyone at the American Society of Human Genetics Annual Meeting this week! 📍 Booth: # 2079 at the Boston Convention & Exhibition Center 🧪 Try it yourself: Get hands-on with Pluto’s multi-omics

🔬 Drowning in multi-omics chaos? Join our live webinar: Multi-Omics Made Simple: Translational Discovery with Pluto Bio 📅 Sept 30 | 11am ET See how to: ✔️ Unify workflows ✔️ Analyze data in minutes ✔️ Share publication-ready plots — no coding required 👉 Register:

New funding announcement! 🎉 Pluto accelerates drug discovery by putting the power of multi-omics and AI into the hands of domain expert scientists, enabling them to address key scientific questions with data, faster and more reproducibly. We're thrilled to announce $3.6M in new

Did you know? Pluto lets you create and customize proprietary pie charts using your own or published data sets. 👯 Summarize patient populations by any categorical attribute 🧪 Count samples based on experimental variables in your study ✨ Dynamically create new groupings by

In case you missed it: you can now upload Seurat objects for analysis in Pluto! ⭐ Want to perform your OWN analysis on a published study or an already-preprocessed object from a collaborator? Upload the RDS object to Pluto to browse the cell type annotations it contains, make

Multi-omics questions are nuanced, but addressing them doesn't have to require complex coding! With Pluto's multi-omics canvas, you can easily investigate the interplay between gene expression, protein expression, DNA-protein binding, and chromatin accessibility. Flexibly

The Cancer Genome Atlas (TCGA) is a valuable resource for mining multiple -omics data types in oncology, but platforms like cBioPortal offer only a limited number of graphs. In Pluto, you can analyze all of the TCGA data sets and create beautiful, publication-ready figures that

The Pluto team had an excellent time in Chicago for #AACR25! We were inspired meeting so many new folks working on the toughest problems in #cancerbiology. Thanks to everyone who came out for our Multi-Omics Mixer too, great turnout! 🧬🍻

One of the main barriers preventing more companies from leveraging single cell data in their target discovery is uncertainty about how to interpret the vast amount of information in a single study. A helpful step towards clear interpretation begins with how you annotate the

Spending your Saturday munging data? Pro tip: Use Pluto to import & analyze published data sets in just a few clicks 👇 Watch the tutorial: https://t.co/IgxSVqEaCq #bioinformatics #transcriptomics #research

🚨 The NIH Genomic Data Standards are getting an update and the new changes go into TOMORROW, on January 25th. Is your team prepared? We wrote a blog post breaking down the changes and what they might mean for your research:

❌ Say no to low-res pathway analysis figures 💜 Create enrichment plots, barplots, dot plots, and other stunning pathway visualizations from GSEA (plus other algorithms) all in one place in Pluto Watch & learn: https://t.co/Tids22HsJN #bioinformatics

As of this week, any grants & research subject NIH Genomic Data Sharing (GDS) policy will be required to comply with additional guidelines. Make sure your institution is prepared! Option 1: Use Pluto to manage & analyze your -omics data & you automatically comply ✅ Option 2:

Published data offers a key advantage: test critical biological questions without needing to run new experiments. Instead of spending hours on manual downloading & munging, you can import data directly via Pluto, enabling your experts to focus on what matters most: your unique

Pathway analysis is an important way to understand targets & biomarkers (genes, proteins, etc) in the greater context of the biology. In this blog, we compare two of the most popular pathway analysis methods: Gene Set Enrichment Analysis (GSEA) and Overrepresentation Analysis

Dr. Issam Al Diri and his team at the University of Pittsburgh School of Medicine use Pluto to investigate transcriptional regulatory networks in retinal development using RNA-seq and ATAC-seq. By enabling their scientists to run their own #bioinformatics pipelines, Pluto has

This week: Are you ready to navigate the NIH's updated genomic data security best practices that go into effect on Jan 25th? 🧬 First, what is the NIH GDS Policy? The NIH Genomic Data Sharing (GDS) policy was established to help ensure that large-scale genomic data - especially

What does it take to break into one of the most challenging markets for SaaS? Pluto founder Rani Powers discusses Pluto's approach to building secure, reliable software for enterprise. https://t.co/GZBKBAp2mt

Leveraging multi-omics data in drug discovery, or not quite sure where to begin? Our new blog outlines essential strategies for using transcriptomics, proteomics, and other assays together to accelerate target discovery. Read more: https://t.co/MyaApdurKc Chat with our

🧬 New to single cell RNA sequencing (scRNA-seq)? We've got you covered! Dive into the essential steps of annotating clusters in scRNA-seq, a critical process for understanding cellular diversity. Whether you're a beginner or a pro looking to brush up on your skills, this guide