ChatGPT Meets Drug Discovery: Unlocking New Frontiers
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Data Harmonization
Polly
Elucidata’s biomedical data platform
Managed Services
Data Concierge
We filter out noise from existing scientific literature.
Data Concierge
We filter out noise from existing scientific literature.
Technology
Harmonization Engine Overview
Harmonize multi modal data into ML-ready formats.
Harmonization Engine Overview
Harmonize multi modal data into ML-ready formats.
Curation App
Build AI-ready, annotated datasets at scale using LLM-powered metadata annotation & subject matter experts.
Data Types
Data on Polly
Single-cell RNA-seq
Bulk RNA-seq
Microarray
Proteomics
Spatial Transcriptomics
Data on Polly
Single-cell RNA-seq
Bulk RNA-seq
Microarray
Proteomics
Spatial Transcriptomics
Single cell CITE-seq
EHR
Repositories
Public Data on Polly
GEO
PRIDE
CPTAC
Public Data on Polly
GEO
PRIDE
CPTAC
Use-cases
Target Identification
Rapidly identify and validate targets with harmonized multi-omics data.
Biomarker Discovery
Predict diagnostic or prognostic biomarkers by analyzing multi-omics data.
Meta-analysis
Integrate expression data to extract molecular signatures.
Signature Exploration
Identify indications related to a gene signature, or find drugs that reverse a disease signature.
Patient Stratification
Train ML Classifiers on Harmonized Data to segment patient cohorts.
Target Identification
Rapidly identify and validate targets with harmonized multi-omics data.
Biomarker Discovery
Predict diagnostic or prognostic biomarkers by analyzing multi-omics data.
Meta-analysis
Integrate expression data to extract molecular signatures.
Signature Exploration
Identify indications related to a gene signature, or find drugs that reverse a disease signature.
Patient Stratification
Train ML Classifiers on Harmonized Data to segment patient cohorts.
Quick Links
case study
Elucidata x Hookipa: 7x Faster Insights In Translational Research
Blog
"Rarity Has an Inherent Value" - Single Cell Omics and Rare Cell Detection
Whitepaper
Leveraging ML for Cell Type Annotation
Solutions
Solutions
Custom solutions to get the most out your curated biomedical data.
Data Harmonization
In-house Data Harmonization
Curate, label, process, and manage data as per your specifications.
Public Data Harmonization
Use our data concierge service to find relevant public datasets more efficiently.
In-house Data Harmonization
Curate, label, process, and manage data as per your specifications.
Public Data Harmonization
Use our data concierge service to find relevant public datasets more efficiently.
Visualization Solutions
Build Custom Applications & Dashboards
Visualize and Analyze biomedical data with custom built web-applications and dashboards.
Build Custom Applications & Dashboards
Visualize and Analyze biomedical data with custom built web-applications and dashboards.
Pipeline Development
Build Custom Bioinformatics Pipelines
Build data processing pipelines customized to your data and analysis requirements.
Build Custom Bioinformatics Pipelines
Build data processing pipelines customized to your data and analysis requirements.
Quick Links
case study
Elucidata x Hookipa: 7x Faster Insights In Translational Research
R&D
Advance Precision Diagnostics With Polly
BLog
Scaling Data Pipelines for High-throughput Bioinformatics
Who We Serve
Who We Serve?
Discover tailored solutions for life sciences based on your unique requirements - Achieve faster R&D outcomes, unlock cost and time efficiencies, break data silos or scale cloud infrastructure for growth!
Early Stage R&D
Harmonized data with a full suite of IND-enabling solutions for accelerating R&D.
Precision Medicine Diagnostics
Scalable and secure data processing cloud infrastructure to set up your diagnostic R&D workflows for commercial growth and global expansion.
Research Informatics
End-to-end data ecosystem aided with technology, processes and experts to break data silos and drive successful AI initiatives in BioPharma.
Translational Research
Translational teams bridge the gap between scientific discoveries and clinical applications, accelerating the journey from bench to bedside.
Early Stage R&D
Harmonized data with a full suite of IND-enabling solutions for accelerating R&D.
Precision Medicine Diagnostics
Scalable and secure data processing cloud infrastructure to set up your diagnostic R&D workflows for commercial growth and global expansion.
Research Informatics
End-to-end data ecosystem aided with technology, processes and experts to break data silos and drive successful AI initiatives in BioPharma.
Translational Research
Translational teams bridge the gap between scientific discoveries and clinical applications, accelerating the journey from bench to bedside.
Quick Links
Blog
Building Biomedical Data & ML-ops Platform: From Collection to Discoveries
CASE STUDY
Optimizing Diagnostics: Elucidata Doubles (2X) Sample to Report Speed
Company
Company
At Elucidata, we are committed to building a TechBio company for the future that will transform drug discovery by integrating different forms of biomedical data.
About Us
Careers
Mission - Vision
Press & Media
Team
About Us
Careers
Mission - Vision
Press & Media
Team
Quick Links
Webinar
DataFAIR 2023: Data Quality- The Cornerstone of Effective Generative AI in Drug Discovery
Blog
Elucidata Leading Innovation in Biotech - A Fast Company Recognition
Resources
Elucidata Resources
Explore our product updates, industry insights and customer stories through our blogs, case-studies, webinars, white papers, videos and more.
Blogs
Case Studies
Datasets at a Glance
Glossary
Solution Briefs
Webinars
Whitepapers
Blogs
Case Studies
Datasets at a Glance
Glossary
Solution Briefs
Webinars
Whitepapers
Quick Links
Whitepaper
Leveraging ML for Cell Type Annotation
Solution Brief
Faster Insights on Omics Data Signatures with Polly Discover
dataset roundup
Multi-modal Obesity Datasets For Target ID and Validation
Resources
Spotlight
Upcoming
Events
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FAIR Data
FAIR Data
Data Processing Pipelines for RNA-seq Data
Deepthi Das
FAIR Data
Multi-omics: Opportunities, Challenges and Applications in Biomarker Discovery
Radhika Rajan
FAIR Data
"Rarity Has an Inherent Value" - Single Cell Omics and Rare Cell Detection
Ayush Praveen
FAIR Data
Decoding Complexities: The Critical Role of Deconvolution in Spatial Transcriptomics
Tasneem Campwala
FAIR Data
Best Practices for Biomarker Discovery Using Transcriptomics Data
Deepthi Das
FAIR Data
Integrative Analysis of Spatial and Single-cell RNA-seq Datasets to Characterize Tumor Microenvironment
Kanupriya Tiwari
FAIR Data
Comparison of Single Cell Data Visualization Tools | Part 3
Ayush Praveen
FAIR Data
Comparison of Single Cell Data Visualization Tools | Part 2
Ayush Praveen
FAIR Data
Power of Meticulously Curated Datasets in Accelerating Biomedical Research
Deepthi Das
FAIR Data
Mining Data and Metadata from GEO Datasets
Deepthi Das
FAIR Data
Uniting the Omics: Integrating Proteomics and Transcriptomics Data
Pooja Viswanathan
FAIR Data
Harmonizing Proteomics and Transcriptomics Data
Pooja Viswanathan
FAIR Data
Deciphering Gene Expression in 3D with Spatial Transcriptomics
Omnya Mohamed Izzeldin
FAIR Data
Navigating the Complexity of Single-Cell Data: Role of Harmonization in Biomedical R&D
Deepthi Das
FAIR Data
Data Quality in Early-Stage Drug Development: Paving the Way for Reliable Research Outcomes
Pawan Verma
FAIR Data
The Essential Role of Data Harmonization in Early-Stage R&D
Pooja Viswanathan
FAIR Data
A Deep Dive into Single-cell Analysis in Life Sciences R&D
Kanupriya Tiwari
FAIR Data
Leveraging RNA-seq Data in Life Sciences R&D
Pooja Viswanathan
FAIR Data
Proteomics in Research and Development: A Comprehensive Exploration
Pooja Viswanathan
FAIR Data
Importance of Gene Expression Omnibus (GEO) Data in Biomedical Research
Pooja Viswanathan
FAIR Data
Navigating the Single-cell Ship Through the Pseudo-bulk Route
Ayush Praveen
FAIR Data
GPT & Drug Discovery: Rise of Generative Model
Jayashree
FAIR Data
Batch Effect in Single-cell RNA-seq: Frequently Asked Questions and Answers
Anurag Srivastava
FAIR Data
Achieving Precision Medicine Through Data Quality Improvement
Shrushti Joshi
FAIR Data
Single Cell Differential Expression: Sham or Incorrect Practices ?
Ayush Praveen
FAIR Data
GEO Datasets for Transcriptomics Meta-Analysis in Research
Shrushti Joshi
FAIR Data
Challenges of Data Quality in Drug Discovery: Managing Complexity for Better Innovations
Kriti Srivastava
FAIR Data
Analyzing Transcriptomics Data from GEO Datasets
Shrushti Joshi
FAIR Data
All You Need to Know about Gene Expression Omnibus (GEO)
Kriti Srivastava
FAIR Data
Preprocessing of Bulk RNA-seq Datasets from GEO for Accurate Analysis
Jayashree
FAIR Data
5 Reasons Not to Use GEO Datasets
Shrushti Joshi
FAIR Data
RNA Sequencing as a Tool in the Search for Cancer Biomarkers
Shrushti Joshi
FAIR Data
How Curation of Biomedical Data Can Accelerate the Drug Discovery Process?
Pranav Divakar, Jayashree
FAIR Data
Polly's Bulk OmixAtlases: The Effortless Dataset Discovery and Retrieval Platform
Jayashree
FAIR Data
Querying GEO Datasets: Curated Biomedical Datasets on Polly
Kriti Srivastava
FAIR Data
Single Cell RNA Sequencing: Evolution & Advancements
Deepthi Das
FAIR Data
Visualizing Bulk RNA-seq Data Using Phantasus
Jayashree
FAIR Data
NIH Data Management & Sharing Policy 2023
Deepthi Das
FAIR Data
FAIRifying Research Data: Your Resolution for 2023
Trisha Dhawan
FAIR Data
The Curious Case of Mis-labelling Data: Orangutan Genomic Data Mix-Up
Deepthi Das
FAIR Data
DataFAIR 2022 at a Glance
Trisha Dhawan
FAIR Data
GEO OmixAtlas: Standardized and Curated Biomolecular Data from GEO Databases on Polly
Jayashree
FAIR Data
Why is FAIR Data Pivotal for Pharma's Digital Transformation?
Jainik Dedhia, Deepthi Das
FAIR Data
Clinical Data Management and How It Can Benefit Pharmaceutical Companies?
Jayashree
FAIR Data
Challenges in Data Sharing in Biomedical Research
Malavika Srikanth
FAIR Data
What is FAIR Data and How to Achieve It?
Pawan Verma
FAIR Data
Are You Being FAIR to Your Data ?
Swetabh Pathak
FAIR Data
Top 10 Latest Single-cell Atlases for Normal Tissues
Vipul Jain
FAIR Data
Data-driven Target Identification Using Public Datasets
Soumya Luthra
Book A Demo
Enable R&D by Harnessing ML’s Potential for Biological Data.
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