Cloud Pipeline Genomic data analysis software
Cloud Pipeline
Solution Overview
EPAM Cloud Pipeline is a cloud-based environment that provides the ability to build and run the customized scripts and workflows that support genomics analysis, modeling and simulation. As genomic data analysis software it relies on machine learning activities that are required to accelerate patient treatment, clinical trials and drug discovery research.
This genomic analysis software wraps cloud computing and storage resources into a single service, providing an easy and scalable approach to accomplish a wide range of scientific tasks. The main features include:
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Data processing: Create data processing pipelines (workflow scripts) and run them in the cloud
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Data storage management: Store and manage files
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Tools management: Create and deploy shared and personal computation environments using Docker’s container concept
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Scientific computing GUI applications: Launch and run GUI-based applications using a self-service web interface
Cloud Pipeline is compatible with AWS, Azure and GCP.
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Benefits
Democratizing the Cloud
Non-IT-savvy scientists can flexibly build and run pipelines/models in the cloud
Scalability
Pipeline instances are created on-demand — auto-scaled clusters are supported
Extensibility
Powerful API allows external systems to leverage Cloud Pipeline’s components
Minimize Vendor Lock-in Risks
Cloud-independent architecture supports any single cloud and multiple clouds
Security & Traceability
Support of single sign-on, access rights, encryption, logging & version control
Features
- User-friendly web interface for managing cloud infrastructure, accessing data storage and pipeline-building tools, and launching/managing interactive applications
- Support for multiple bioinformatics and modeling/simulation tools from an extensive library of Docker container images executed in the cloud
- A unified framework that allows for the use of different cloud platforms separately and together
- Possibility to build custom pipelines using a mixture of languages (including Shell script, Python, R, Java, Perl, WDL, etc.), and save them to a built-in, version-controlled repository
- Integration of cloud applications with on-premise applications (hybrid architecture)
- High scalability: support for thousands of users, utilizing thousands of nodes
- Management of data access permissions for both internal and external users
- Protecting data using encryption
- Support for various computation node and cluster configurations
Use Cases
Clinical Trial
Customer Problem:
A clinical trial sponsor faces challenges managing and analyzing vast amounts of clinical trial data. Their current system is:
- Inefficient: Data from various sources (hospitals, clinics, wearables) is siloed and requires manual integration.
- Time-consuming: Without proper genomics software, data cleaning and analysis are slow, delaying trial progress and regulatory submissions.
- Error-prone: Manual data handling increases the risk of errors and inconsistencies.
Proposed Solution:
The sponsor decides to start using EPAM Cloud Pipeline, genomics data analysis software, to:
- Develop automated workflows for data ingestion, cleaning, and analysis from diverse sources.
- Leverage the cloud's scalability to handle large datasets efficiently.
- Integrate with existing clinical trial management systems (CTMS) for seamless data flow.
- Employ machine learning for advanced analytics and real-time patient monitoring.
Achieved Results:
- Streamlined data management: Automated workflows improve data quality and reduce manual effort.
- Faster analysis: Cloud resources accelerate data processing, allowing for quicker insights.
- Improved data accuracy: The genomic analysis software reduced manual intervention and minimized errors and inconsistencies.
- Real-time insights: Machine learning enables proactive monitoring and informed decision-making.
- Faster trial completion: Efficient data management and analysis shorten trial timelines.
Additional Information
Awards
Cloud Security Alliance STAR Level 1
Proven compliance with the Cloud Controls Matrix cybersecurity framework.Questions & Answers
Can you install Cloud Pipeline on your own machine and use your own backend or is it solely on the cloud?
Posted on May 15, 2022 by James
Does Cloud Pipeline support workflow definition languages?
Posted on September 23, 2020 by Judy
Is Cloud Pipeline a SaaS solution?
Posted on September 16, 2020 by Alan
Integrates with
AWS
Azure
GCP
Docker
Kubernetes
Tech Requirements
Server
- AWS
- Azure
- GCP
Browser
- Google Chrome (best option)
- Firefox
- Microsoft EDGE
- Internet Explorer 11
industries
categories
license type
type
Version
Updated on Sep, 2019
Documentation
Links
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