SingleScan

SingleScan aggregates and summarizes tools, pipelines, workflows, and parameter usage for processing and mining single-cell transcriptome, single-cell genome, and spatial transcriptomics sequencing data.

Key Features:

• Comprehensive Tool Curation: Aggregates an up-to-date collection of tools and pipelines specifically for single-cell transcriptome and genome analysis, systematically categorized by primary function.
• Workflow Summaries: Provides detailed summaries of typical single-cell data analysis workflows describing processing steps and methodologies.
• Inclusion of Spatial Transcriptomics: Integrates solutions and tools relevant to spatial transcriptomics alongside single-cell analyses to support spatially resolved gene-expression studies.
• Parameter Insights: Reports specific parameters used in published studies for each tool and processing step, with explanations of how parameter choices influence results.
• Trend Analysis: Analyzes the included tools and related literature to identify current trends in single-cell studies.

Scientific Applications:

• Cellular heterogeneity: Supports analyses that resolve cellular heterogeneity from single-cell transcriptome and genome data.
• Developmental biology: Enables investigations of organism development using single-cell sequencing workflows.
• Immunology: Facilitates study of immune function at single-cell resolution.
• Disease mechanism studies: Supports exploration of disease progression and mechanisms using single-cell and spatial transcriptomics data.
• Spatial localization of gene activity: Enables mapping and analysis of gene activity localization within tissues using spatial transcriptomics tools.

Methodology:

Information was manually extracted and curated from relevant literature, and the included tools and publications were analyzed to derive parameter usage summaries and trend analyses.