scfind

scfind enables rapid querying of single-cell RNA sequencing (scRNA-seq) datasets by constructing a compact index to retrieve cells or cell types expressing specified genes.

Key Features:

• Index construction: Builds a compact index from large collections of scRNA-seq datasets to organize data for efficient retrieval.
• Gene expression queries: Allows searches for cells or cell types based on the expression of a specified list of genes.
• Scalable data organization: Organizes information from large single-cell transcriptome collections to facilitate exploration of tissue composition and cellular heterogeneity.

Scientific Applications:

• Cell type identification: Aids definition of cell types within complex tissues by leveraging unsupervised clustering of transcriptomes.
• Tissue composition and heterogeneity analysis: Enables exploration of tissue composition, identification of novel cell types, and investigation of cellular heterogeneity across conditions or experimental setups.
• Comparative analysis across experiments: Organizes scRNA-seq data to facilitate understanding and comparison of cells across different experiments, in a context related to tools such as scmap.

Methodology:

Constructs an index from scRNA-seq datasets to organize data into a format that supports rapid and efficient querying.