CASE STUDY

Cloud Processing of Metabolomics Data

Key Highlights

A metabolomics experiment generates hundreds of gigabytes (GBs) of data.
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Conventional workstations lack the computing power required for subsequent processing.
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Customizable high-speed LC/MS data processing and metabolomic analysis in linear workflows can be generated using El-MAVEN.
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El-MAVEN speeds up the processing and Polly apps facilitate downstream analysis making Polly an end-to-end solution.

All Case Studies

Oncology Company Achieves ~80% Acceleration in Gene Target ID/ Validation

Pharma-AI Collaboration Drives ~$3M Cost Reduction by Using Highly Curated Public Data

Leading Oncology Company Uses Elucidata’s Drug OmixAtlas to Drive Drug Discovery

Polly PeakML Accelerates Biological Insight Derivation from Untargeted Metabolomics Analysis

Cutting- Edge Cancer Tx Accelerated Target ID by 75% using ML & Curated Biomolecular Data

Cloud Processing of Metabolomics Data

Accelerate Cell-Type Annotation of scRNA-seq Data

Predicting Survivability of Patients with Liver Hepatocellular Carcinoma

Integrated Metabolomics and Transcriptomics Profiling

Network Integration of Parallel Metabolic and Transcriptional Data Reveals Metabolic Modules that Regulate Macrophage Polarization

Why Polly CRISPR Screening is Better than MAGeCK VISPR

Other Resources

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