Introduction

Data Management

Secure and expandable storage space with no requirements on storage duration.

Analysis

One-click execution of a diversified pipeline choices, e.g. WGS, WES, RNA-Seq, microbe and many other analysis pipelines.

Interpretation

Genomic insights to support genetics research and medical practices through flexible, robust and secure web.

Collaboration

Fine-grained access control and sharing of protected genomics data, tools and pipelines among team members.

Public Pipelines

  • DNA
    Whole-genome sequencing
    Whole-exome sequencing
    Target region sequencing
  • RNA
    MRNA-Seq
    LncRNA-Seq
    SmallRNA-Seq
  • Epigenetics
    Methylation sequencing
    ChIP-Seq
  • Microbial
    De novo sequencing
    Resequencing
    Amplicon sequencing
    Metagenomic sequencing
  • Cancer
    Inherited disease
    Individualized Mutation
    Liquid biopsy

USE CASE

  • Genome Center

    Support scientific discovery and collaboration

  • Diagnostic Test Provider

    Grow your test portfolio and expand your global reach

  • Biopharmaceutical R&D

    Identify disease targets and advance your drug discovery program

Features

  • Rapidness

    Rapidness

    The distributed scheduling engine makes full use of the cloud platform to support parallel computing jobs, and will leading to a significant savings in computing time.

  • Easy to Use

    Easy to Use

    The platform provide analysis and interpretation service with a visual and interactive web interface, to reduce the dependency of IT technologies for researchers in traditional bioinformatic analyses model, which will reduce the threshold of biological data analysis and interpretation.

  • Accuracy

    Accuracy

    The platform integrated many common highly-cited medical databases, as well as local analysis results, to provide accurate results for analytic interpretation.

  • Flexibility

    Flexibility

    The platform supports the customization of the tools and pipelines, users can easily modify tools and pipelines with the pipeline editor according to their requirements.

  • Efficient

    Efficient

    The intelligent job scheduling system. The system will allocate the appropriate resources from the resources pool according to the resources requirements of the analytical tasks, using a scheduling algorithm for distributed clusters.

  • Scalability

    Scalability

    The pipeline engine is developed based on the international common CWL specification. As many international cloud analysis platforms follow the CWL specification, it will be helpful to integrate with international conventions and expand the international market.

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