
Use Case
Use Cases
Drylab is on a mission to eliminate every bottleneck on the dry lab side of biomedical and natural science research—one challenge at a time.
All
Data Analysis
Deep Search
Automation
Batch Analysis

Comming Soon Q3 2025
Run different pipelines of analysis on multiple datasets at once, suitable for rigorous analysis such as in research.
Cell-Cell Communication analysis

Run Time: 5-7 mins
Streamlines analysis by automating ligand–receptor mapping, comparisons, and visualization into clear insights.
Figure & Chart Creation

Coming Soon
Easily generate publication-ready figures and charts that stay synchronized with your data, with consistent colors and labels automatically.
Flow Cytometry Analysis (Auto-Gating)

Coming Soon
Automates cell population identification in flow or mass cytometry data to improve reproducibility and speed in immunophenotyping studies.
Hypothesis Consulting

Run Time: 3 minutes
Check if ideas and results are supported or challenged against high-quality, peer-reviewed research papers, ensuring well-grounded research direction.
Image J automation

Coming Soon August 2025
Simply describe what you want to measure and Drylab’s AI will run ImageJ workflows for you, including batch processing, to deliver data that answer your question.
Pathway Enrichment analysis and Target Gene identification

Run Time: 5 mins
Quick check and identify potential hit gene based on specific expression profile across datasets, cell types, and conditions.
Proteomics Differential Abundance

Coming Soon
Analyzes raw mass spectrometry data or processed abundance matrices to compare protein levels across conditions with comprehensive result visualizations.
Protocol Design

Run Time: 7 minutes
Quickly find and adapt methods from peer-reviewed literature or drop in your own protocol file to customize it for your available resources and experimental needs.
Report Generation

Comming Soon Q3 2025
Instantly creates reports or incorporates existing reports, reducing time spent on documentation.
RNA-Seq and Differential Expression analysis

Run Time: 5-7 mins
Upload count matrices to perform automated DE testing across experimental conditions, generating gene lists, plotting for easy interpretation.
Single-cell RNA-seq analysis

Run Time: 10-30 mins
Automates key steps of scRNA-seq data processing: quality control, normalization, clustering, marker gene identification, cell type annotation and more with customizable code scripts.
Spatial Transcriptomics

Coming Soon
Automates processing and analysis of spatial gene expression data, including QC, normalization, spot-level expression quantification, clustering, and visualization.
Statistical analysis

Run Time: 3-7 minutes
Accepts raw, uncleaned laboratory or clinical data, automatically handles cleaning, suggests appropriate tests and delivers clear results with plots and reports.
Structure and docking analysis (AlphaFold3)

Coming Soon
Input the name or sequence of molecules plus optional details to generate 3D structural models with docking poses and scoring reports
Workflow Standardization

Comming Soon Q3 2025
Ensure analyses use the same code and settings every time, with options to llet AI make small adaptations, to reduce redudant tasks.
All
Data Analysis
Deep Search
Automation
Batch Analysis

Comming Soon Q3 2025
Run different pipelines of analysis on multiple datasets at once, suitable for rigorous analysis such as in research.
Cell-Cell Communication analysis

Run Time: 5-7 mins
Streamlines analysis by automating ligand–receptor mapping, comparisons, and visualization into clear insights.
Figure & Chart Creation

Coming Soon
Easily generate publication-ready figures and charts that stay synchronized with your data, with consistent colors and labels automatically.
Flow Cytometry Analysis (Auto-Gating)

Coming Soon
Automates cell population identification in flow or mass cytometry data to improve reproducibility and speed in immunophenotyping studies.
Hypothesis Consulting

Run Time: 3 minutes
Check if ideas and results are supported or challenged against high-quality, peer-reviewed research papers, ensuring well-grounded research direction.
Image J automation

Coming Soon August 2025
Simply describe what you want to measure and Drylab’s AI will run ImageJ workflows for you, including batch processing, to deliver data that answer your question.
Pathway Enrichment analysis and Target Gene identification

Run Time: 5 mins
Quick check and identify potential hit gene based on specific expression profile across datasets, cell types, and conditions.
Proteomics Differential Abundance

Coming Soon
Analyzes raw mass spectrometry data or processed abundance matrices to compare protein levels across conditions with comprehensive result visualizations.
Protocol Design

Run Time: 7 minutes
Quickly find and adapt methods from peer-reviewed literature or drop in your own protocol file to customize it for your available resources and experimental needs.
Report Generation

Comming Soon Q3 2025
Instantly creates reports or incorporates existing reports, reducing time spent on documentation.
RNA-Seq and Differential Expression analysis

Run Time: 5-7 mins
Upload count matrices to perform automated DE testing across experimental conditions, generating gene lists, plotting for easy interpretation.
Single-cell RNA-seq analysis

Run Time: 10-30 mins
Automates key steps of scRNA-seq data processing: quality control, normalization, clustering, marker gene identification, cell type annotation and more with customizable code scripts.
Spatial Transcriptomics

Coming Soon
Automates processing and analysis of spatial gene expression data, including QC, normalization, spot-level expression quantification, clustering, and visualization.
Statistical analysis

Run Time: 3-7 minutes
Accepts raw, uncleaned laboratory or clinical data, automatically handles cleaning, suggests appropriate tests and delivers clear results with plots and reports.
Structure and docking analysis (AlphaFold3)

Coming Soon
Input the name or sequence of molecules plus optional details to generate 3D structural models with docking poses and scoring reports
Workflow Standardization

Comming Soon Q3 2025
Ensure analyses use the same code and settings every time, with options to llet AI make small adaptations, to reduce redudant tasks.
All
Data Analysis
Deep Search
Automation
Batch Analysis

Comming Soon Q3 2025
Run different pipelines of analysis on multiple datasets at once, suitable for rigorous analysis such as in research.
Cell-Cell Communication analysis

Run Time: 5-7 mins
Streamlines analysis by automating ligand–receptor mapping, comparisons, and visualization into clear insights.
Figure & Chart Creation

Coming Soon
Easily generate publication-ready figures and charts that stay synchronized with your data, with consistent colors and labels automatically.
Flow Cytometry Analysis (Auto-Gating)

Coming Soon
Automates cell population identification in flow or mass cytometry data to improve reproducibility and speed in immunophenotyping studies.
Hypothesis Consulting

Run Time: 3 minutes
Check if ideas and results are supported or challenged against high-quality, peer-reviewed research papers, ensuring well-grounded research direction.
Image J automation

Coming Soon August 2025
Simply describe what you want to measure and Drylab’s AI will run ImageJ workflows for you, including batch processing, to deliver data that answer your question.
Pathway Enrichment analysis and Target Gene identification

Run Time: 5 mins
Quick check and identify potential hit gene based on specific expression profile across datasets, cell types, and conditions.
Proteomics Differential Abundance

Coming Soon
Analyzes raw mass spectrometry data or processed abundance matrices to compare protein levels across conditions with comprehensive result visualizations.
Protocol Design

Run Time: 7 minutes
Quickly find and adapt methods from peer-reviewed literature or drop in your own protocol file to customize it for your available resources and experimental needs.
Report Generation

Comming Soon Q3 2025
Instantly creates reports or incorporates existing reports, reducing time spent on documentation.
RNA-Seq and Differential Expression analysis

Run Time: 5-7 mins
Upload count matrices to perform automated DE testing across experimental conditions, generating gene lists, plotting for easy interpretation.
Single-cell RNA-seq analysis

Run Time: 10-30 mins
Automates key steps of scRNA-seq data processing: quality control, normalization, clustering, marker gene identification, cell type annotation and more with customizable code scripts.
Spatial Transcriptomics

Coming Soon
Automates processing and analysis of spatial gene expression data, including QC, normalization, spot-level expression quantification, clustering, and visualization.
Statistical analysis

Run Time: 3-7 minutes
Accepts raw, uncleaned laboratory or clinical data, automatically handles cleaning, suggests appropriate tests and delivers clear results with plots and reports.
Structure and docking analysis (AlphaFold3)

Coming Soon
Input the name or sequence of molecules plus optional details to generate 3D structural models with docking poses and scoring reports
Workflow Standardization

Comming Soon Q3 2025
Ensure analyses use the same code and settings every time, with options to llet AI make small adaptations, to reduce redudant tasks.