pipeComp, a general framework for the evaluation of computational pipelines, reveals performant single cell RNA-seq preprocessing tools
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1474-760X
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
pipeComp, a general framework for the evaluation of computational pipelines, reveals performant single cell RNA-seq preprocessing tools ; volume:21 ; number:1 ; day:1 ; month:9 ; year:2020 ; pages:1-28 ; date:12.2020
Genome biology ; 21, Heft 1 (1.9.2020), 1-28, 12.2020
- Creator
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s13059-020-02136-7
- URN
-
urn:nbn:de:101:1-2020102201094293508386
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:30 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Germain, Pierre-Luc
- Sonrel, Anthony
- Robinson, Mark D.
- SpringerLink (Online service)
Other Objects (12)
A comparison of RNA-Seq data preprocessing pipelines for transcriptomic predictions across independent studies
FastqPuri: high-performance preprocessing of RNA-seq data
Benchmarking UMI-based single-cell RNA-seq preprocessing workflows
A benchmark for RNA-seq quantification pipelines
PhytoPipe: a phytosanitary pipeline for plant pathogen detection and diagnosis using RNA-seq data
ARPIR: automatic RNA-Seq pipelines with interactive report
Erratum to: A benchmark for RNA-seq quantification pipelines
Erratum to: A benchmark for RNA-seq quantification pipelines
Challenges for the development of automated RNA-seq analyses pipelines
Choice of pre-processing pipeline influences clustering quality of scRNA-seq datasets
NDRindex: a method for the quality assessment of single-cell RNA-Seq preprocessing data
A multiplex single-cell RNA-Seq pharmacotranscriptomics pipeline for drug discovery
A comparison of RNA-Seq data preprocessing pipelines for transcriptomic predictions across independent studies
FastqPuri: high-performance preprocessing of RNA-seq data
Benchmarking UMI-based single-cell RNA-seq preprocessing workflows
A benchmark for RNA-seq quantification pipelines
PhytoPipe: a phytosanitary pipeline for plant pathogen detection and diagnosis using RNA-seq data
ARPIR: automatic RNA-Seq pipelines with interactive report
Erratum to: A benchmark for RNA-seq quantification pipelines
Erratum to: A benchmark for RNA-seq quantification pipelines
Challenges for the development of automated RNA-seq analyses pipelines
Choice of pre-processing pipeline influences clustering quality of scRNA-seq datasets
NDRindex: a method for the quality assessment of single-cell RNA-Seq preprocessing data
A multiplex single-cell RNA-Seq pharmacotranscriptomics pipeline for drug discovery
A comparison of RNA-Seq data preprocessing pipelines for transcriptomic predictions across independent studies
FastqPuri: high-performance preprocessing of RNA-seq data
Benchmarking UMI-based single-cell RNA-seq preprocessing workflows
A benchmark for RNA-seq quantification pipelines
PhytoPipe: a phytosanitary pipeline for plant pathogen detection and diagnosis using RNA-seq data
ARPIR: automatic RNA-Seq pipelines with interactive report
Erratum to: A benchmark for RNA-seq quantification pipelines
Erratum to: A benchmark for RNA-seq quantification pipelines
Challenges for the development of automated RNA-seq analyses pipelines
Choice of pre-processing pipeline influences clustering quality of scRNA-seq datasets
NDRindex: a method for the quality assessment of single-cell RNA-Seq preprocessing data