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Empower Researchers through Trainings, Tools and AI

Dear Colleagues and Friends,

It has been such a pleasure to serve you over the past decades. I started my bioinformatics journey about 15 years ago, and soon realized that for most data analysis tasks, many excellent methods and algorithms exist. However, properly using them requires substantial statistical knowledge and computer programming - skills that could take years to master by very few experts (elite analytics), and are uninteresting or even distracting to many in life sciences. We felt strongly that omics data analysis should be unintimidating, pleasant and inspiring to the majority who design their experiments and generate their data.

Analytics 1.0

Manual Effort

Data→Expert→Code→Result

The web and cloud technologies have played major roles to make data analytics accessible to broad audience. Leveraging these technologies, we have implemented a series of tools integrating visualization and statistics (visual analytics) to lower the barriers to omics data analysis. These tools have been used by ~1 million researchers worldwide. However, long-term sustainability and supporting advanced needs have become our growing concerns due to the inherent instability of funding and personnel as an academic lab.

Analytics 2.0

Cloud + Web

Data → Tool → Result

We are at the dawn of revolution on data analytics. The generative AI technologies allow us to chat with our data (conversational analytics). An AI assistant, grounded on our omics data analysis platforms, can not only answer questions, but also help create customized workflows and generate personalized reports based on your analysis goals. Data analysis can be greatly simplified (drop your data, define your workflow and pick up analysis report). You can review, refine this report towards your first draft with an AI assistant.

Analytics 3.0

Cloud + AI

Data ↔ Report

To help sustain our user communities and to smoothly transition into AI-augmented, conversational analytics, we now offer a comprehensive training and support package (see below), and invite you to join us on this exciting journey. Thank you for your support. Together, we can define the future of omics data analytics.

Training Omics Data Science course
Single omics & multi-omics analysis
Lectures + live demos + hands-on practices More Details

Pro-Tools Live report + PDF + Slides
Project management + workflow execution
Better interface + better computing + better support More Details

Enterprise Solution Self-hosted solution
Dedicated training & support
Private database & computing with pro-tools See Below

Enterprise Solution

We are aware of the important needs from companies or large research groups with large data generation or privacy concerns. They are best addressed using on premise or private cloud solution. We provide support for local installation of Pro versions of our OmicsTools. It is also possible to implement custom workflows or use private / commercial databases. Please contact us.

Roadmap toward Analytics 3.0

AI technologies will transform omics data analytics. The main question is how we can effectively leverage AI to improve our data analysis and decision making, while avoid the issues such as hallucinations and bias.

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, your inputs and the current analysis results (text and figures) and context;
Co-pilot - the AI assistant will work with you to develop a draft based on your data, study design, instructions, literature or other relevant docs.

The figure below summarizes the key milestones and we aim to have our beta release in late 2024.