BBKNN: fast batch alignment of single cell transcriptomes
Wellcome Sanger Institute · European Bioinformatics Institute · +1 more institution
Abstract
MOTIVATION: Increasing numbers of large scale single cell RNA-Seq projects are leading to a data explosion, which can only be fully exploited through data integration. A number of methods have been developed to combine diverse datasets by removing technical batch effects, but most are computationally intensive. To overcome the challenge of enormous datasets, we have developed BBKNN, an extremely fast graph-based data integration algorithm. We illustrate the power of BBKNN on large scale mouse atlasing data, and favourably benchmark its run time against a number of competing methods. AVAILABILITY AND IMPLEMENTATION: BBKNN is available at https://github.com/Teichlab/bbknn, along with documentation and multiple…
Citation impact
- FWCI
- 32.90
- Percentile
- 100%
- References
- 20
Authors
6Topics & keywords
- Computer science
- Benchmark (surveying)
- Documentation
- Graph
- Data integration
- Data mining
- Scale (ratio)
- Theoretical computer science
- Industry, innovation and infrastructure