Publication | Open Access
clustifyr: an R package for automated single-cell RNA sequencing cluster classification
129
Citations
27
References
2020
Year
GeneticsTranscriptomics TechnologyGenomicsBioinformatics DatabaseGene Expression ProfilingHigh Throughput SequencingR PackageSingle Cell SequencingComputational GenomicsCluster ClassificationClustifyr R PackageSingle-cell Rna SequencingSignature Gene ListsRna SequencingSingle-cell GenomicsOmicsGene ExpressionSingle-cell AnalysisBioinformaticsCell BiologyFunctional GenomicsBiologyNatural SciencesComputational BiologyMicrobiologySystems BiologyMedicineSingle-cell Rna
Assignment of cell types from single-cell RNA sequencing (scRNA-seq) data remains a time-consuming and error-prone process. Current packages for identity assignment use limited types of reference data and often have rigid data structure requirements. We developed the clustifyr R package to leverage several external data types, including gene expression profiles to assign likely cell types using data from scRNA-seq, bulk RNA-seq, microarray expression data, or signature gene lists. We benchmark various parameters of a correlation-based approach and implement gene list enrichment methods. clustifyr is a lightweight and effective cell-type assignment tool developed for compatibility with various scRNA-seq analysis workflows. clustifyr is publicly available at https://github.com/rnabioco/clustifyr.
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