Abiosciences Launches Chat2Research (C2R): An AI-Powered Platform to Democratize Single-Cell and Spatial Omics Analysis
Abiosciences
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On July 2, Abiosciences officially launched Chat2Research (C2R), a proprietary AI-driven automated platform for biomedical research. This platform encapsulates the company’s years of expertise in big data and intelligent analysis within single-cell spatial omics, aiming to completely overcome the technical barriers, efficiency bottlenecks, and reproducibility challenges associated with traditional bioinformatics analysis, thereby ushering single-cell and spatial omics research into a new era of natural language-driven intelligent analysis.
In traditional research settings, data analysis has long been the core bottleneck constraining scientific progress. Countless researchers spend substantial time on tedious preliminary tasks such as environment configuration, data downloading, format conversion, and code debugging, often taking days without advancing core biological discoveries. Clinicians and basic science researchers possess high-quality research samples and innovative research ideas, yet struggle to efficiently unlock the value of multi-omics data due to a lack of programming foundations and insufficient professional bioinformatics expertise. Even professional bioinformaticians are frequently drained by repetitive, low-value preprocessing work, significantly diminishing the efficiency of scientific innovation.
Bioinformatics analysis was meant to be a tool for exploration and discovery, yet in reality, it has become a formidable barrier. Abiosciences’ C2R is designed to tear down this wall with its robust “hard power”!
The core advantage of C2R lies in compressing tasks that would traditionally require a professional bioinformatics team weeks to complete into just hours or even minutes, truly serving as an “AI bioinformatics research partner” for scientists.
Zero-Threshold Ease of Use
Similar to the recently popular Claude Science, C2R also leverages natural language to drive complex bioinformatics analyses, significantly lowering the barrier to entry. Unlike Claude Science’s “broad coverage,” C2R internalizes Abiosciences’ years of practical experience into the platform’s robust foundation, achieving deeper professional adaptation in the specialized field of single-cell and spatial omics—ensuring that each analysis is more attuned to the data and better aligned with scientific research needs.
● Natural Language Interaction, No Code or Complex Commands Required, researchers need only input their analytical requirements in natural language, and C2R will complete the entire workflow and visualize the results.
● Upon reviewing intermediate results, follow-up queries can be made: “Is the change in the proportion of this cell cluster significant?” “Try a different batch correction method.” The AI retains context and dynamically iterates for optimization.
● Covers mainstream omics technologies, including scRNA-seq, spatial transcriptomics (Visium/Xenium/Stereo-seq), scTCR/scBCR sequencing, scATAC-seq, CITE-seq, and bulk RNA-seq, enabling researchers across diverse fields to rapidly adopt these tools.
Figure 1: Natural Language – Develop Analysis Plan
Ultra-High Efficiency Enhancement
In traditional research workflows, the journey from data acquisition to result generation involves multiple stages—“download → cleaning → quality control → analysis → visualization → interpretation”—each requiring specialized expertise and substantial time investment.
Key to Achieving Ultra-High Efficiency Improvement with C2R:
● 2000+ GEO Samples: Select and Analyze Instantly.C2R features a built-in GEO Datasets engine, offering pre-curated standardized atlases for over 2,000 GEO samples. It enables one-command access to public data without the need for downloading, cleaning, or preprocessing.
● 100+ High-Frequency Methods + 1,000+ Algorithm Tool Library.Covers mainstream frameworks such as Seurat, Scanpy, Monocle, and scVI, integrating cutting-edge methods including Transformer-based feature extraction and interpretable AI for cell annotation.
● While others are still waiting for FTP downloads, you are already making biological discoveries.
Figure 2: Directly Calling the Built-in Public Database
Reproducible and Traceable
“Reproducibility” is the lifeline of academic research. Traditional manual analysis is prone to introducing errors, and factors such as software version changes or forgotten random seeds can lead to irreproducible results.
C2R Ensures Academic Rigor from the Ground Up:
● Backed by Abiosciences' proprietary R&Dsc/stLego Standardized WorkflowandAbios AI Agent, the code has been validated by dozens of top-tier journal/high-impact publications, with stable and reproducible results.
● Every step of data processing, analysis software, and parameter settings is fully recorded and can be traced back at any time.
● Built-inAI Advisor for Top-Tier Journal Knowledge Base, employing a hierarchical RAG architecture that incorporates classic analytical strategies from top-tier journals such as Cell, Nature, Science, and Immunity, ensuring authentic and reliable knowledge sources.
Figure 3: Discussion with Knowledge Advisors from Top-Tier Journals
Figure 4: Markers extracted from the literature for CAF subset analysis
Figure 5: Generation of CNS-level mechanistic diagrams based on analysis results
There is more than one product on the market for AI-driven bioinformatics analysis. After a horizontal comparison of over 10 similar products, the differences with C2R are significant.
More Rational AI Architecture: Balancing Result Stability and Analytical Flexibility
● Most competing products adopt a single LLM Agent or MCP plugin model, with limited flexibility and synergy.
● C2R adoptsMulti-Agent Collaboration + Self-Evolving Skills Library Architecture(Abios driver), agent division of labor and collaboration, Skills library automatic iterative update.
Figure 6: Free Analysis, Results Interpretation with Illustrations
High-quality data resources with clear and traceable sources
● Most traditional cloud platforms lack preloaded public datasets, requiring users to upload their own data; some platforms offer only literature search capabilities.
● Abiosciences'GEO DatasetsIt is a self-built standardized dataset with 2,000+ samples, available for immediate analysis without download or preprocessing, featuring clear sources and easy indexing.
Strong analytical capabilities, with on-demand access to 1,000+ analytical skills
● Most competing products offer single-cell analysis methods covering between 20 and 100 cells.
● Built-in C2R100+ High-Frequency Single-Cell/Spatial Methodsand1000+ Algorithmic Skill Tools, while also supporting mainstream analysis frameworks such as Seurat in R and Scanpy in Python, unlocking endless possibilities for analysis.
Figure 8: Proposing New Scientific Questions and Analytical Needs Based on Existing Results(Mac System)
Figure 9: Obtain Key Findings in One Sentence (macOS)
Low Barrier to Entry: Register and Start Using Immediately
● Some products, despite being marketed as AI-driven, still require users to configure the environment, upload data, and select parameters.
● C2R isWeb-based Cloud Platform, ready to use upon registration, with zero installation and zero configuration.
Figure 10: Ready-to-Use Cloud Platform
The era of AI for Science has arrived. AI will not replace researchers, but those who leverage AI tools are widening the gap with their peers. Rather than continuing to expend energy battling R package errors, consider a different approach:
Leverage dialogue-driven analytics to free up time for genuine scientific inquiry. Chat2Research has delivered its results—now it’s your turn to experience it!
New Arrival Perks
To celebrate the official launch of Chat2Research, we are offering a 1-month free trial to every newly registered user!
→ We cordially invite you to access Chat2Research - AI Research Analysis Platform, register an account, and be among the first to experience it.
Scan the QR code to register and become a Product Experience Officer
Looking Forward to Exploring the New AI-Driven Research Paradigm with You!
Product Demo Video:
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