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Proteomics

Analyze unbiased or targeted proteomics data sets. Create signatures, identify biomarkers, and explore inter- and intra-sample variability. The technique involving chromatin immunoprecipitation + sequencing (ChIP-seq) is used for analyzing protein interactions with DNA. Comparing how transcription factors and other chromatin-associated proteins like histone marks interact with DNA in different conditions provides valuable, epigenetic insights into mechanisms of disease, the effect of different treatments, & more. Cleavage Under Targets and Release Using Nuclease (CUT&RUN) is a newer technique for measuring DNA-protein interactions. Scientists working in oncology, immunology, drug discovery & other areas of research can use ChIP-seq or CUT&RUN to compare healthy and disease states to identify differentially binding and altered biological pathways to discover therapeutic targets.

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Analyzing protein-DNA interactions is intuitive with Pluto

Pluto is a cloud-based platform designed and tested by scientists specifically for managing, analyzing, & visualizing life sciences data like ChIPseq and CUT&RUN. With an elegant interface tailored to your lab’s experimental workflows, Pluto allows both wet lab researchers & bioinformaticists a simple and secure way to collaborate on data analysis and visualization.

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Visual data analysis

1. Upload raw data (e.g. FASTQ or BigWig files) or processed, tabular data. 2. Run automated ChIP-seq and CUT&RUN pipelines with customizable parameters. View quality control report and all analysis methods recorded for auditing & end-to-end reproducibility. 3. Ask scientifically relevant questions. 4. Share results securely within your internal team, external vendors & exec stakeholders

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Wet lab biologist friendly

Can a wet lab biologist with no coding experience analyze their own ChIP-seq experiment using Pluto? Yes! Scientists can run bioinformatics analyses like differential binding, peak analysis, motif analysis & more to create interactive plots without any code.

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Why ChIP-seq or CUT&RUN?

Faster time to insight

  • Hours instead of days
  • No need to wait days or weeks in a backlog

Fully leverage all of your data

  • Instant searchability
  • Stop searching cloud storage and hard drives

Bioinformatics pipelines

  • Automated
  • No-Coding Required
  • Eliminate the frustration managing & maintaining pipelines

Resources & Updates

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Learning Series
Unifying Your Science: The Power of an Integrated Multi-Omics Platform

End fragmented data workflows with a secure, collaborative hub for multi-omics research.

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News
Pluto Bio Raises $3.6M to Expand AI-Powered Multi-Omics Analysis Platform for Pharma

Funding led by new investor Kickstart, with continued support from Silverton Partners and other investors

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Learning Series
Proteomics 101: A primer for translational scientists

Discover how proteomics empowers translational scientists to uncover disease biomarkers, identify novel drug targets, and optimize clinical decisions.

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Learning Series
Unlocking biological insights with multi-omics approaches

Explore how multi-omics integrates diverse datasets like RNA-seq, ATAC-seq, and ChIP-seq to unlock biological insights, accelerate drug discovery, and drive personalized therapies. Learn more about its impact on cancer research and target identification.

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Learning Series
Multi-Omics Target Validation: Building an Effective Drug Discovery Pipeline

Discover how Pluto’s multi-omics pipelines accelerate target validation in drug discovery. Learn how integrated platforms streamline the path from omics data to validated therapeutic targets.

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Learning Series
Alternatives to Rosalind for Bioinformatics and Computational Biology

Discover top alternatives to Rosalind for bioinformatics and computational biology. Explore platforms like Pluto Bio, BaseSpace, GenePattern, and more to find the right solution for your research needs.

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Learning Series
Using Multi-Omics Approaches for Effective Target Discovery

Discover how multi-omics revolutionizes drug discovery by integrating genomics, proteomics, and more to reveal complex disease networks, enabling precise target validation and accelerated breakthroughs.

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Downloads
Unlocking multi-omics in drug discovery with bioinformatics

Multi-omics has emerged as a transformative technology in drug discovery. Layering genomics, transcriptomics, proteomics and other molecular analyses in a single experiment can provide deep biological insight and identify new therapeutic targets. However, developers face challenging data integration and analysis to get the most out of multi-omics data. Here, we explore how bioinformatics is key to unlocking the full potential of multi-omics and transforming drug discovery.

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Product Updates
Pluto Product Update - January 2023

Check out the latest features from Pluto for 2023! Upgrade your presentation game with interactive slides and live data, get early access to the new Scientific Storyboards feature, auto-detect RNA-seq strandedness, and access over 14,000 published experiments. Plus, learn about differential expression analysis in the latest Pluto Learning Series. Join the Pluto community today!

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Learning Series
Exploring the Differences Between Computational Biology and Bioinformatics

This blog post explains the differences between computational biology and bioinformatics. Bioinformatics is concerned with the development and application of computational methods for analyzing and interpreting large biological datasets, while computational biology involves mathematical models and computer simulations to study complex biological systems and processes. The post also describes the different tools and platforms used in each field and how modern SaaS platforms are bringing the two fields together. Finally, a top 10 list summarizes the main differences between computational biology and bioinformatics.

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Learning Series
Differential Expression Analysis: Understanding the Techniques and Benefits in Research

Differential expression analysis is a powerful tool used to identify genes or transcripts that are differentially expressed between two or more conditions or sample types. This technique is commonly used in the field of genomics, transcriptomics, and proteomics to study the molecular mechanisms underlying different biological processes, such as disease development, response to treatment, or adaptation to different environments.

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Learning Series
Cytokine Panels: An In-Depth Guide to Analysis and Significance

Cytokines are small proteins that play a crucial role in regulating the immune system, inflammation, and cell growth.

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