SCANPY: large-scale single-cell gene expression data analysis.

Genome Biol

Helmholtz Zentrum München - German Research Center for Environmental Health, Institute of Computational Biology, Munich, Neuherberg, Germany.

Published: February 2018

SCANPY is a scalable toolkit for analyzing single-cell gene expression data. It includes methods for preprocessing, visualization, clustering, pseudotime and trajectory inference, differential expression testing, and simulation of gene regulatory networks. Its Python-based implementation efficiently deals with data sets of more than one million cells ( https://github.com/theislab/Scanpy ). Along with SCANPY, we present ANNDATA, a generic class for handling annotated data matrices ( https://github.com/theislab/anndata ).

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5802054PMC
http://dx.doi.org/10.1186/s13059-017-1382-0DOI Listing

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