Pluto

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 analysis platform 🔬 New to the platform: Our single-cell browser — built for scientists who want instant, interactive insights from their data Come see a demo, talk with our team, and grab some Pluto swag while you’re there. We can’t wait to connect with you in Boston! #ASHG2025 #ASHG #Genomics #Bioinformatics #SingleCell #MultiOmics #PlutoBio #Biotech

🔬 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: pluto-bio.zoom.us/webinar/regist… #MultiOmics #Bioinformatics #Genomics #TranslationalScience #PlutoBio

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 funding led by Kickstart, with support from Silverton Partners to fuel this mission and expand Pluto AI agents across therapeutic areas and modalities. Read the full press release: businesswire.com/news/home/2025…

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 combining multiple variables 🖌️ Customize # and % display values, colors, legends, and more 🏆 Export in high-res for publication-quality figures in seconds Learn more: pluto.releasenotes.io/release/Vdrla-… #bioinformatics #translationalscience

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 any edits to contents or appearance, and begin performing downstream analysis that addresses your own unique scientific questions. Seurat objects are powerful but were previously a challenge to work with if you don't know how to work with them in R. With these new capabilities in Pluto, you can create your own unique, publication-ready visualizations from #scrnaseq data with no coding required! #bioinformatics #datavisualization

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 perform all kinds of overlaps: 🔺 Identify highly expressed genes in accessible chromatin regions 🔻 Visualize lowly expressed genes with histone marks ↔️ Find targets expressed both at the transcript and protein level 🌟 And many more! Schedule a demo to see the process for yourself in minutes: pluto.bio/get-info #multiomics #datavisualization #transcriptomics #epigenetics #proteomics

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 are unique to YOUR science. For some examples, check out the poster we presented at AACR last week investigating the role of ZNF423 in glioma using Pluto's multi-omics canvas. Want to create novel figures from TCGA data? Visit pluto.bio/get-info to set up a demo for your team!

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 clusters identified in a scRNA-seq data set. Will you use manual steps (domain expertise) or automated/ML/AI approaches or both? Read the guide authored by the single cell experts at Pluto to get a foundational understanding of cluster annotation, perfect for scientists aiming to leverage scRNA-seq for target and biomarker discovery 👉 pluto.bio/resources/Lear… #scRNAseq #bioinformatics #targetdiscovery

Spending your Saturday munging data? Pro tip: Use Pluto to import & analyze published data sets in just a few clicks 👇 Watch the tutorial: youtube.com/watch?v=UKG_Ce… #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: pluto.bio/resources/Lear…

❌ 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: youtube.com/watch?v=7o7HxE… #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: Have your IT team implement compliance with NIST SP 800-171 & other requirements on any server or location where -omics data is being stored... 😬😬😬 Not sure where to start? We got you: pluto.bio/resources/Lear…

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 science. Just input the GEO accession ID and tap Request. You'll receive an email as soon as the data has been deposited into Pluto and is ready for analysis! As always, the analysis you do in Pluto is private, secure, and fully customizable to your questions. Go beyond summarizing patient characteristics - Pluto enables you to deeply understand the biology. Learn more: youtube.com/watch?v=UKG_Ce…

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 (ORA). Learn more about each of these methods, when to use them, and what kinds of visualizations they produce: pluto.bio/resources/Lear… For an even deeper dive into GSEA, check out this video tutorial: youtube.com/watch?v=7o7HxE…

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 saved them hours on analysis so they can focus on publishing high-impact findings. Read the case study: pluto.bio/resources/case…

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 human data - is shared responsibly and in a way that respects both participants' consent and security concerns. Its goal is to maximize the scientific value of genomic data while protecting the privacy and rights of the individuals who contributed to the research. 👉 Who needs to follow these guidelines? The GDS policy applies to all NIH-funded research generating human genomic data, as well as any subsequent research using this data. ⏰ What's changing? On January 25, 2025, the NIH will implement updates to the GDS policy designed to bolster the security of controlled-access genomic data repositories and provide clearer guidelines to approved users of this data. All approved users of controlled-access genomic data from NIH repositories will be expected to follow stricter security protocols, including compliance with NIST SP 800-171. 🔒 How do I make sure our organization is prepared? Organizations using Pluto for their research already comply with these new changes. You can find and download the appropriate documentation in your Pluto workspace to include in your grant submissions or other NIH required reporting. Not using Pluto yet? Our scientists wrote a new post breaking down the changes and what they might mean for your research: pluto.bio/resources/Lear… #bioinformatics #nih #genomics #transcriptomics #epigenetics

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. open.spotify.com/episode/4zdXUz…

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: pluto.bio/resources/Lear… Chat with our scientists to see Pluto's comprehensive multi-omics platform in action: pluto.bio/get-info?utm_s… #omics #drugdiscovery

🧬 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 provides clear explanations, expert tips, plus a table of annotation resources and tools you can use to enhance your analysis. 🔬✨ Check it out here! 👉 pluto.bio/resources/Lear… #scRNAseq #Bioinformatics #singlecell