Fueling discovery with data.

Tier Comparison

Tier 1: Basic Support ($500/month)

  • Key Features:
    • Pre-Built Pipelines: Access to automated pipelines for common analyses such as RNA-seq, variant calling, and basic metabolomics.
    • Basic Visualization Tools: Generate publication-ready figures like heatmaps, bar charts, and scatter plots using a plug-and-play interface.
    • Limited Customization: Adjust basic parameters such as p-value thresholds, fold-change cutoffs, and filtering options.
    • Email Support: Receive email support with a 48-hour response time for troubleshooting and guidance.
    • 1 Hour of Consultation: One hour of expert consultation per week to help with data interpretation or experimental design.
  • Cloud Compute Capabilities:
    • Server Access: Limited access to pre-built pipelines and basic tools.
    • Capabilities:
      • Run pre-configured pipelines (e.g., RNA-seq, variant calling).
      • Adjust basic parameters (e.g., thresholds, filters).
      • Generate basic visualizations (e.g., heatmaps, bar charts).
    • User Interface: Web-based interface with plug-and-play functionality.
    • Example Use Case: A lab member uploads RNA-seq data, selects a pipeline, and adjusts the p-value threshold to generate a list of differentially expressed genes.
  • What You Can Do:
    • Upload RNA-seq data, select a pre-built pipeline, adjust the p-value threshold, and generate a heatmap of differentially expressed genes.
    • Run variant calling on whole-exome sequencing (WES) data and export a list of variants.
    • Create basic visualizations like bar charts or scatter plots for metabolomics data.
  • Ideal For:
    • Labs with basic bioinformatics needs.
    • Researchers who prefer a hands-off approach to data analysis.
    • Labs with limited technical expertise but need reliable, automated workflows.

Tier 2: Advanced Support ($1,500/month)

  • Key Features:
    • Custom Workflows: Create and modify workflows tailored to your specific research needs, such as multi-omics integration or advanced single-cell analysis.
    • Advanced Visualization Tools: Use interactive dashboards to explore data with network graphs, pathway maps, and other advanced visualizations.
    • API Access: Integrate our tools into your local workflows or scripts using an API for automated data uploads and analysis.
    • Batch Processing: Run large-scale analyses with batch processing capabilities, allowing you to process multiple datasets simultaneously.
    • Phone and Chat Support: Get faster support with a 24-hour response time via phone or chat.
    • 3 Hours of Consultation: Three hours of expert consultation per week for in-depth analysis, experimental design, or grant writing support.
    • Training Sessions: Access to training sessions for lab members to learn how to use advanced tools and workflows.
  • Cloud Compute Capabilities:
    • Server Access: Full access to custom workflows, advanced tools, and APIs.
    • Capabilities:
      • Create and modify workflows (e.g., multi-omics integration).
      • Use APIs to automate data uploads and analysis.
      • Generate advanced visualizations (e.g., network graphs, pathway maps).
    • User Interface: Web-based interface with optional command-line access for advanced users.
  • What You Can Do:
    • Use an API to upload RNA-seq and metabolomics data, run a custom multi-omics integration workflow, and create an interactive pathway map to explore the results.
    • Design a custom single-cell RNA-seq analysis workflow and visualize cell clusters using advanced network graphs.
    • Run batch jobs to process hundreds of whole-genome sequencing (WGS) samples simultaneously.
  • Ideal For:
    • Labs with more complex projects that require custom workflows.
    • Researchers who need advanced visualization tools to explore complex datasets.
    • Labs with some technical expertise that want to automate their workflows using APIs.

Tier 3: Premium Support ($3,000/month)

  • Key Features:
    • Custom Algorithm Development: Collaborate with our team to develop custom algorithms tailored to your unique research questions, such as novel cross-omics integration tools or machine learning models.
    • High-Performance Computing (HPC): Access scalable, high-performance computing resources for large-scale analyses, such as whole-genome sequencing for hundreds of samples.
    • Real-Time Collaboration: Share data and results with collaborators in real time using interactive dashboards and collaborative tools.
    • Priority Access: Get early access to new tools, features, and updates before they are released to other tiers.
    • Dedicated Account Manager: Receive personalized support from a dedicated account manager who will assist with project planning, troubleshooting, and strategic advice.
    • 5 Consultation Hours: Access 5 consultation hours per week with our experts for data interpretation, experimental design, or grant writing.
    • On-Site or Virtual Training: Arrange on-site or virtual training sessions for your entire lab to ensure everyone is up to speed with the latest tools and workflows.
  • Cloud Compute Capabilities:
    • Server Access: Full access to custom algorithms, HPC resources, and real-time collaboration tools.
    • Capabilities:
      • Develop custom algorithms with support from our team.
      • Use HPC resources for large-scale analyses.
      • Share data and results with collaborators in real time.
    • User Interface: Web-based interface with full command-line access and dedicated support.
    • Example Use Case: A Tech collaborates with our team to develop a custom algorithm for single-cell RNA-seq analysis, uses HPC resources to process a large dataset, and shares the results with collaborators through an interactive dashboard.
  • What You Can Do:
    • Collaborate with our team to develop a custom algorithm for integrating single-cell RNA-seq and proteomics data, use HPC resources to analyze a large dataset, and share the results with collaborators through an interactive dashboard.
    • Run a large-scale whole-genome sequencing (WGS) project for hundreds of samples using HPC resources and generate a comprehensive report with advanced visualizations.
    • Develop a machine learning model to predict gene expression patterns based on multi-omics data.
  • Ideal For:
    • Labs conducting cutting-edge research that requires custom algorithms and high-performance computing.
    • Researchers who need real-time collaboration tools to share results with collaborators.
    • Labs with complex projects that require ongoing support and consultation.