Nature Communications (Nov 2018)

A web server for comparative analysis of single-cell RNA-seq data

  • Amir Alavi,
  • Matthew Ruffalo,
  • Aiyappa Parvangada,
  • Zhilin Huang,
  • Ziv Bar-Joseph

DOI
https://doi.org/10.1038/s41467-018-07165-2
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 11

Abstract

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Publicly available single cell RNA-seq datasets represent valuable resources for comparative and meta-analysis. Here, the authors develop scQuery, a web server integrating over 500 different studies with over 300 unique cell types for comparative analysis of existing and new scRNA-seq data.