Prescriptive Analytics with Pro Tools

The value of bioinformatics tools is realized by empowering researchers to make informed decisions based on their data. However, this is not straightforward as every researcher is different, and every data is different, how can we develop tools to effectively meet such needs?

As shown in the figure on the right, we can achieve this in three stages – raw data processing, exploratory data analysis, and prescriptive analytics. For basic research, we are mainly at the first two stages (discovery phase). For translational applications, we need to validate a workflow from exploratory data analysis, and use the established workflow to process future data for decision making. The process is more rigorous and requires considerations of other contextual information. The generative AI is ideal for this task.

In addition to better interfaces and more features compared to the community tools, pro tools are designed with those goals in mind:

  • Efficiency & Productivity - streamlined workflow creation and execution based on templates (i.e. purpose-built workflows), automatic generation of analysis reports and slides.
  • Stability & Reproducibility - through project management, resumable analysis, and R command tracking
  • Better Computing & Support - more computing resources, prioritized support, and AI co-pilot (coming soon, see below).

Roadmap toward Analytics 3.0

AI technologies will transform omics data analytics. The main question is how we can leverage AI to improve our data understanding and decision making, while avoid the issues such as hallucinations and bias. We take three core measures as described below:

  • Using retrieval augmented generation (RAG) technology - RAG leverages our comprehensive training materials for different omics data analysis and user feedback;
  • Grounding - the AI generated content will be based firmly on the templates, user inputs and the current analysis context;
  • Co-pilot - the analysis report and slides (i.e. text and figures) are accessible and understandable to both human researchers and AI. The AI assistant can generate a draft based on our templates and your instructions, you can take over and add the final touch to the report.
The figure below summarizes the key milestones and we aim to have our beta release in summer 2024.

Subscription

The regular prices for annual subscription (in USD) of different pro tools are given below. If you have taken our Omics Data Science course, you are eligible for a membership discount on the regular price. Please use the Registration page to reach us.

Regular Price (Member Price)
All Six Pro Tools $1200 ($1000)
MetaboAnalyst Pro $750 ($600)
ExpressAnalyst Pro $600 ($500)
MicrobiomeAnalyst Pro $600 ($500)
OmicsAnalyst Pro $500 ($400)
OmicsNet Pro $500 ($400)
miRNet Pro $400 ($300)
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