Harmonize in-house and public single-cell RNA-seq datasets to ML-ready formats, and leverage our suite of custom solutions designed for scRNA-seq data to accelerate analysis and insight generation.
Custom-curated datasets for your unique research objectives.
Diverse single-cell modalities to expand your research horizons.
Expert QC & analytics to support your data.
Elevate your data with expert metadata curation.
Harmonize unstructured single-cell data with a customizable, transparent curation process tailored to your criteria for faster analysis, supporting modalities like CITE-Seq, Spatial, ATAC-Seq, and more.
.svg)
Our harmonized and curated single-cell datasets undergo rigorous standardization and quality control, ensuring uniformity and reliability across all samples.
Leverage our harmonized and curated datasets across single-cell modalities such as CITE-Seq, Spatial Transcriptomics, and ATAC-seq, to gain deeper insights into cellular functions, tissue architecture, and gene regulation at an unprecedented resolution.
Integrate multi-modal datasets into a single, unified Atlas to uncover hidden patterns and accelerate research breakthroughs.
Access raw counts from original publications, obtain consistently processed single-cell data, or replicate author-defined counts to suit your research needs.
Leverage our harmonization engine for custom cell type annotations using markers derived from sub-clusters or figures in relevant publications.
Our single-cell datasets undergo a robust 50-step QA/QC process, ensuring high metadata quality, filtering, normalization, batch effect correction, and accurate measurement quality.
Utilize our comprehensive suite of machine learning (ML) solutions to extract insights faster and streamline your downstream analysis.
Collaborate with our experts to deploy popular foundational models, such as scGPT, on your harmonized data, or fine-tune existing models to enhance predictions and accelerate insights.
Utilize tools for constructing and analyzing cell-cell interaction networks, providing insights into cellular communication and signaling pathways. Perform advanced analyses, including differential expression, trajectory analysis, UMAP, clustering, and more.
Run complex queries across your harmonized data using GPT, a natural language querying interface that performs sophisticated statistical analyses, such as PCA and differential gene expression.
Leverage our expertise to create custom data consumption workflows unique to your research.
Utilize integrated web applications, such as CellxGene and CellxGene VIP, to analyze and visualize single-cell data in real time.
Stream harmonized data to external tools like Spotfire or integrate it with your preferred analysis environments, such as React or Shiny.
Develop methods to integrate single-cell data with other omics data types (e.g., genomics, proteomics) for a more comprehensive understanding of cellular processes.
Leverage scRNA-seq to dissect diverse immune cell populations within tumor microenvironments. This analysis reveals mechanisms of immune evasion and identifies novel therapeutic targets, enhancing the potential for effective cancer immunotherapies.
Utilize single-cell transcriptomics to trace the developmental pathways of specific cell types in both healthy and diseased tissues. By mapping these trajectories, we gain insights into lineage differentiation and disease progression, aiding in the development of targeted therapies.
Analyze individual cell responses to therapeutic agents within heterogeneous populations to identify resistant subpopulations. This critical evaluation informs personalized treatment strategies, ensuring therapies are tailored to meet the unique challenges posed by each patient’s disease.
%20(1).svg)
Request extra metadata fields, use custom ontologies, or annotate cell types with your preferred marker database.
Consistently process, annotate, and QC single-cell data using scientifically validated Polly pipelines to ensure data interoperability.
Seamlessly integrate Polly into your existing infrastructure! Automate ingestion of in-house data from your data storage (ELN, S3 bucket, CROs, and more) into a central Atlas on Polly.
Focus on discovery, not data wrangling! Polly automatically cleans, harmonizes, and structures your in-house single-cell datasets, ensuring they adhere to your custom schema.
Integrate multi-modal datasets into one central Atlas to unveil hidden patterns, and expedite research breakthroughs.
Effortlessly manage and analyze TBs of both in-house and public single-cell data on Polly's secure cloud.
%20(1).svg)
%20(1).svg)
All single-cell datasets delivered by Polly undergo ~50 QA checks to ensure quality and provenance.
Assess the intrinsic quality of the data (genes, cells, measurements) with comprehensive QA reports detailing the processing methodology.
Avail unrestricted data connectivity and consumption between Polly and your preferred analysis environments. Use APIs to stream harmonized data on Polly to external tools and applications.
%20(1).svg)
.webp)
.svg)
.webp)
.svg)
.webp)
.webp)
.svg)
.svg)
.webp)
.webp)
Harness single-cell insights to unravel intricate cellular heterogeneity, immune responses, and developmental pathways, driving innovative therapeutic strategies in precision medicine through advanced scRNA-seq analysis.
Data processing and scientific reporting of metabolomics data are crucial but also tedious. Polly’s range of applications helped our team in accelerating these processes significantly and effectively.
Extremely impressed by Polly and its power to digest and integrate large datasets. The unique partnership that we have allows us to work hand-in-hand with software engineers and scientists to rapidly develop novel hypotheses that we can test in the lab.
We really were pleasantly surprised because this tool [El-MAVEN] is really useful in fast analysis of tracer data. It allows us to really look at a broad set of targets so you are not limited anymore for data analysis. A data analyst of mine stepped up to me and said, "I can do now in 3 hours what used to take 4 days.
Data analysis is the biggest bottleneck for metabolomics research. Elucidata has worked directly with us to streamline our analysis pipeline, accelerating the pace of our research.
We were looking for public data on a tight deadline to make decisions on our back up targets for solid tumors. Elucidata was able to understand our relevance criteria, identify, and deliver high-quality harmonized data ahead of schedule. We are really happy with their deliveries and this partnership.
.svg)
%201.svg){kind=icon}
Lorem ipsum dolor sit amet consectetur. Dictumst faucibus nibh imperdiet phasellus vitae ut sit. Ut eros amet massa tellus orci. Vestibulum ac arcu est nulla non eget nulla. Eget pulvinar eu ac mi cursus elementum neque. Massa nisl fringilla platea diam faucibus nullam. In lacus mauris nec ultrices. Ut accumsan leo adipiscing montes proin.
Lorem ipsum dolor sit amet consectetur. Dictumst faucibus nibh imperdiet phasellus vitae ut sit. Ut eros amet massa tellus orci. Vestibulum ac arcu est nulla non eget nulla. Eget pulvinar eu ac mi cursus elementum neque. Massa nisl fringilla platea diam faucibus nullam. In lacus mauris nec ultrices. Ut accumsan leo adipiscing montes proin.
We offer 30+ curated fields for single-cell RNA-seq datasets on Polly. If any additional curated fields are required, they are added on request as part of custom curation.
Lorem ipsum dolor sit amet consectetur. Dictumst faucibus nibh imperdiet phasellus vitae ut sit. Ut eros amet massa tellus orci. Vestibulum ac arcu est nulla non eget nulla. Eget pulvinar eu ac mi cursus elementum neque. Massa nisl fringilla platea diam faucibus nullam. In lacus mauris nec ultrices. Ut accumsan leo adipiscing montes proin.
Single-cell datasets are stored in the H5AD format on Polly. Additionally, our team can also support custom requests for providing data in the file formats that are best suited for the downstream bioinformatics tools and pipelines used by our clients.
Lorem ipsum dolor sit amet consectetur. Dictumst faucibus nibh imperdiet phasellus vitae ut sit. Ut eros amet massa tellus orci. Vestibulum ac arcu est nulla non eget nulla. Eget pulvinar eu ac mi cursus elementum neque. Massa nisl fringilla platea diam faucibus nullam. In lacus mauris nec ultrices. Ut accumsan leo adipiscing montes proin.
Lorem ipsum dolor sit amet consectetur. Dictumst faucibus nibh imperdiet phasellus vitae ut sit. Ut eros amet massa tellus orci. Vestibulum ac arcu est nulla non eget nulla. Eget pulvinar eu ac mi cursus elementum neque. Massa nisl fringilla platea diam faucibus nullam. In lacus mauris nec ultrices. Ut accumsan leo adipiscing montes proin.
Single-cell data on Polly has various benefits,
Lorem ipsum dolor sit amet consectetur. Dictumst faucibus nibh imperdiet phasellus vitae ut sit. Ut eros amet massa tellus orci. Vestibulum ac arcu est nulla non eget nulla. Eget pulvinar eu ac mi cursus elementum neque. Massa nisl fringilla platea diam faucibus nullam. In lacus mauris nec ultrices. Ut accumsan leo adipiscing montes proin.
Lorem ipsum dolor sit amet consectetur. Dictumst faucibus nibh imperdiet phasellus vitae ut sit. Ut eros amet massa tellus orci. Vestibulum ac arcu est nulla non eget nulla. Eget pulvinar eu ac mi cursus elementum neque. Massa nisl fringilla platea diam faucibus nullam. In lacus mauris nec ultrices. Ut accumsan leo adipiscing montes proin.
Lorem ipsum dolor sit amet consectetur. Dictumst faucibus nibh imperdiet phasellus vitae ut sit. Ut eros amet massa tellus orci. Vestibulum ac arcu est nulla non eget nulla. Eget pulvinar eu ac mi cursus elementum neque. Massa nisl fringilla platea diam faucibus nullam. In lacus mauris nec ultrices. Ut accumsan leo adipiscing montes proin.
Yes, our team has the expertise to provide integrated single-cell datasets on Polly upon request. We don't follow a specific method for integration. The integration methodology is architected by our team of experts based on the biological question and the downstream analysis our client wants to perform.
Lorem ipsum dolor sit amet consectetur. Dictumst faucibus nibh imperdiet phasellus vitae ut sit. Ut eros amet massa tellus orci. Vestibulum ac arcu est nulla non eget nulla. Eget pulvinar eu ac mi cursus elementum neque. Massa nisl fringilla platea diam faucibus nullam. In lacus mauris nec ultrices. Ut accumsan leo adipiscing montes proin.
.svg)
.svg)
.svg)
%201%20(1).svg)
%20(1).svg)
%201%20(1).svg)
.svg)
.webp)
%20(1).svg)
.svg)
.svg)
.svg)
