Single-Cell Analysis Market

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Question ^*

What type of single-cell data are you primarily working with?

1. A. Single-cell RNA sequencing (scRNA-seq)

2. B. Single-cell ATAC sequencing (scATAC-seq)

3. C. Single-cell proteomics

4. D. Multi-omics (e.g., scRNA-seq + scATAC-seq)

5. E. Spatial transcriptomics

6. F. Other (Please specify: ___________)

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Question ^*

What level of analysis support do you typically require or desire for your single-cell data?

1. A. Basic data processing and quality control

2. B. Cell type annotation and clustering

3. C. Differential expression analysis

4. D. Pathway and gene ontology enrichment analysis

5. E. Custom bioinformatics analysis

6. F. I prefer to do all analysis myself

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Question ^*

What is the biggest unmet need you have regarding single-cell analysis?

1. A. More affordable analysis options

2. B. Improved data visualization tools

3. C. Easier integration with existing datasets

4. D. Access to specialized single-cell expertise

5. E. Higher throughput/faster turnaround times

6. F. Better methods for rare cell type identification

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Question ^*

What is the primary application of single-cell analysis in your research?

1. A. Cell type identification and characterization

2. B. Disease mechanism investigation

3. C. Drug discovery and development

4. D. Biomarker discovery

5. E. Immune profiling

6. F. Other (Please specify: ___________)

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Question ^*

Which aspect of the single-cell analysis workflow do you find most challenging?

1. A. Sample preparation and cell isolation

2. B. Library preparation and sequencing

3. C. Data analysis and interpretation

4. D. Cost of reagents/services

5. E. Data storage and management

6. F. Lack of bioinformatics expertise

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