Publication:

pipeComp, a general framework for the evaluation of computational pipelines, reveals performant single cell RNA-seq preprocessing tools

Date

Date

Date
2020
Journal Article
Published version

Citations

Citation copied

Germain, P.-L., Sonrel, A., & Robinson, M. D. (2020). pipeComp, a general framework for the evaluation of computational pipelines, reveals performant single cell RNA-seq preprocessing tools. Genome Biology, 21, 227. https://doi.org/10.1186/s13059-020-02136-7

Abstract

Abstract

Abstract

We present pipeComp ( https://github.com/plger/pipeComp ), a flexible R framework for pipeline comparison handling interactions between analysis steps and relying on multi-level evaluation metrics. We apply it to the benchmark of single-cell RNA-sequencing analysis pipelines using simulated and real datasets with known cell identities, covering common methods of filtering, doublet detection, normalization, feature selection, denoising, dimensionality reduction, and clustering. pipeComp can easily integrate any other step, tool, or eva

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57 since deposited on 2020-12-08
Acq. date: 2025-11-12

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99 since deposited on 2020-12-08
Acq. date: 2025-11-12

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Creators (Authors)

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
21

Number

Number

Number
1

Page range/Item number

Page range/Item number

Page range/Item number
227

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Keywords

Benchmark, Clustering, Filtering, Normalization, Pipeline, Single-cell RNA sequencing (scRNAseq)

Language

Language

Language
English

Publication date

Publication date

Publication date
2020-12-01

Date available

Date available

Date available
2020-12-08

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
1474-7596

OA Status

OA Status

OA Status
Gold

Free Access at

Free Access at

Free Access at
DOI

Metrics

Downloads

57 since deposited on 2020-12-08
Acq. date: 2025-11-12

Views

99 since deposited on 2020-12-08
Acq. date: 2025-11-12

Citations

Citation copied

Germain, P.-L., Sonrel, A., & Robinson, M. D. (2020). pipeComp, a general framework for the evaluation of computational pipelines, reveals performant single cell RNA-seq preprocessing tools. Genome Biology, 21, 227. https://doi.org/10.1186/s13059-020-02136-7

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