ScarfWeb Knowledge Base
Guides, tutorials, and troubleshooting tips to help you make the most of Nygen's analytics platform.
Getting Started
Learn how to kick-start your single-cell journey on Nygen Analytics.
Security, Privacy, and Compliance
How Nygen protects your data with encryption, access controls, GDPR compliance, and third-party provider policies.
Read articlePrerequisites
Data preprocessing and technical requirements prior to using the platform
Read articleProjects
All you need to know about Projects
Read articlePlatform Overview
Nygen is a cloud-based platform designed for comprehensive single-cell data analysis. The platform enables researchers to efficiently analyze, explore, and publish large-scale genomic datasets through
Read articleCount Matrix Upload Process
Learn how to easily upload single-cell count matrices and kickstart your analysis with Nygen Analytics.
Read articleNavigating Explore Page
Discover how to visualize cell clusters on UMAP scatter plots, search for features, explore gene expression with various plot types, and conduct advanced analyses like differential gene expression and
Read articleSupport Options
Available support tiers on Nygen including technical support, upload assistance, data procurement, and custom analysis.
Read articleData Storage and Backup
Where your data is stored, how long it is retained, backup policies, costs, and how to delete your data on ScarfWeb.
Read articleSupported file formats
Here you will find the details of the variety of file formats supported by Nygen.
Read articleData Management
How to manage your data on Nygen Analytics.
Security, Privacy, and Compliance
How Nygen protects your data with encryption, access controls, GDPR compliance, and third-party provider policies.
Read articleImporting Spatial and Clonotype Data
Learn how to import spatial coordinates post-analysis to combine gene expression data with spatial organization for deeper biological insights.
Read articleProjects
All you need to know about Projects
Read articleCount Matrix Upload Process
Learn how to easily upload single-cell count matrices and kickstart your analysis with Nygen Analytics.
Read articleTransferring Dataset
Discover how you can transfer datasets to another user.
Read articleData Storage and Backup
Where your data is stored, how long it is retained, backup policies, costs, and how to delete your data on ScarfWeb.
Read articleMetadata and existing analysis Import
Learn how to add metadata, including dataset labels and cell annotations, to your datasets on Nygen Analytics.
Read articleMerging and Demultiplexing Datasets
Learn how to easily merge datasets and demultiplex HTO samples, preserving genes and metadata across analyses.
Read articleSupported file formats
Here you will find the details of the variety of file formats supported by Nygen.
Read articleAnalysis Pipeline
Filtering, HVG selection, analysis setup, version control, and data integration.
Analysis Version Control
Discover how Nygen Analytics saves each analysis run for easy comparison, parameter optimization, and reproducibility.
Read articleData Integration and Batch Correction
Learn about managing batch effects in single-cell data analysis. This guide covers best practices for integration, normalisation strategies, and using Harmony for effective batch correction.
Read articleAdditional Analysis Parameters
Learn how to customize key parameters in ScarfWeb, including PCA dimensions, kNN graph, clustering resolution, and species info, to enhance your dataset analysis.
Read articleFiltering Cells
Learn how to filter low-quality cells using thresholds for metrics like transcripts per cell, genes per cell, mitochondrial counts, and ribosomal counts to ensure high-quality single-cell analysis.
Read articleHVG selection
Learn how to select Highly Variable Genes (HVGs) in single-cell data, set corrected variance thresholds, and use custom blocklists to refine your analysis while ensuring meaningful cell heterogeneity.
Read articleVisual Exploration
Navigate data visuals, adjust UMAPs, create custom categories, and explore visualization tools.
Visualization tools
Discover the tools available on our platform which can help visualise and analyse your datasets, featuring: Stacked bar plot - Radar plot - Dot plot - Feature scatter plot - Bar plot - Violin and box
Read articleCell Selections and Custom Categories
In this section, we will cover on how to create and adjust cell selections and ways you can use these selections to create new categories or extract cells into a new dataset.
Read articleNavigating Explore Page
Discover how to visualize cell clusters on UMAP scatter plots, search for features, explore gene expression with various plot types, and conduct advanced analyses like differential gene expression and
Read articleAutoannotation
Learn how to create auto annotations with Nygen Insights and explore key features and details of the report to accelerate your cell annotation process.
Read articleAdjusting UMAPs
Learn how to efficiently navigate and use tool options to adjust the UMAP on our platform.
Read articleInteractive Analysis
Differential gene expression, compositional analysis, pseudotime, and gene sets with signature scores.
Differential Gene Expression
Learn how to run a differential gene expression analysis, interpret the results and visualize in a volcano plot.
Read articleCompositional Analysis with Statistical Testing
Learn how to do a compositional analysis using stacked bar plot and how to create analyses that are customized to your research experiment
Read articleGene sets and signature scores
Learn how you can create and save multiple lists of genes as a gene set, visualise the gene set signatures on the platform.
Read articlePseudotime Analysis
Discover how pseudotime analysis can be used to reconstruct an estimated order of cells in a cell development process, and identify the correlated genes expressed through the process.
Read articleCollaboration
Manage your projects and share your results effectively.
Sharing Dataset Directly
Learn how to easily share a read-only version of your analyzed dataset with others via email or generate a public link for broader access.
Read articlePublishing on Nygen Database
Get guidance on preparing and publishing your dataset on Nygen Database, including annotations, metadata, and project details for seamless sharing and accessibility.
Read articleCreating Public Links
Learn how to create a public link to a dataset
Read articleMiscellaneous
Tracking analysis progress, interpreting markers, and other helpful resources.
Tracking progress
Learn how to track ongoing tasks such as monitoring file uploads, analyses, and task progress from the cloud icon on Nygen Analytics.
Read articleSupport Options
Available support tiers on Nygen including technical support, upload assistance, data procurement, and custom analysis.
Read articleMarker Interpretation
Learn more about the marker scores calculated for each cluster and how to interpret these scores.
Read articleFrequently Asked Questions
Datasets deleted on ScarfWeb are immediately removed from our system and the cloud. Within one week of deletion, all traces of the data are eradicated from the backup system.
Backup Routines: Our database undergoes hourly and weekly backup routines to ensure that your data is consistently saved and can be restored in case of any unexpected events.
Encryption: Your data is encrypted in transit and at rest using industry-standard protocols.
Access Controls: Robust access control mechanisms ensure only authorized personnel can access your data. All Nygen employees follow two-factor authentication procedures and use secure password storage tools. Their access to cloud infrastructure expires in 8 hours.
Firewalls and Intrusion Detection: We employ advanced firewalls and intrusion detection systems to monitor and protect our network.
2. Enable two-factor authentication (if not already enabled).
3. Contact Nygen support to report the issue and get further assistance.
• You have requested support from Nygen, requiring us to examine your files to debug issues.
• You have shared your data privately with someone using their email address, granting them read-only access.
• You generated a public link, allowing anyone with the link to access a read-only version.
Users' datasets are never indexed, crawled, or otherwise used by Nygen for any purpose other than hosting and providing support.
We share users' emails with third-party providers for specific purposes:
• Auth0: User authentication
• Posthog: Activity monitoring (30-day retention)
• UserFlow: Onboarding workflows
• Hubspot: Support and sales
• Brevo / SendGrid: Transactional emails
• JumpShare: Unstructured data files
• Stripe: Payments
All third-party providers are subject to strict data protection requirements.
Upload Support: Uploading custom file formats from existing projects, generally within 24 hours.
Data Procurement: Downloading files from GEO or other public portals and making datasets available in your ScarfWeb account, generally within one week.
Custom Analysis: Custom analysis support for tasks connected to ScarfWeb.
• Modality integration
• Statistical significance analysis
• Pathway enrichment analysis
• Doublet detection
• Quality reports on raw matrices
• ADT normalization from multiple batches
• Merging samples from multiple species
• Bulk generation of figures
Nygen reserves the right to decline requests that are too extensive. Our licenses are product licenses, not service packages.
Enterprise customers can negotiate SLAs (Service Level Agreements) based on their organization's needs.