scCoAnnotateÌýis aÌýSnakemakeÌýpipeline forÌýefficient reference-based consensus predictionÌýof cell-types in single-cell RNA sequencing (scRNA-seq) data.ÌýDeveloped by theÌý, the pipeline allowsÌýusers to runÌýmultiple annotation tools to predict cell type labels of multipleÌýscRNA-seq samples.ÌýThe tools consist of several statistical models and machine learning approaches used in the single-cell field.ÌýIt then outputs a consensus of the predictions,Ìýwhich has been found to increase accuracy in benchmarking experiments by combining the strengths of the different approaches.ÌýThe automated pipeline is user-friendly and running it does not require knowledge of machine learning.ÌýIt also features parallelization options to exploitÌýavailable computational resources for maximal efficiency.Ìý
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