Pipeline Benchmarking
Pipeline Benchmarking is a systematic evaluation framework used to assess and compare the performance, accuracy, and efficiency of bioinformatics pipelines in the context of metagenomic data quality control, distinguished by its focus on standardized metrics and reference datasets to enable reproducible and objective appraisal of computational methods.
44
Publications
2.6K
Citations
386
Authors
248
Institutions
Publications per year
2017–2026
32
44
A benchmark for RNA-seq quantification pipelines
Mingxiang Teng, Michael I. Love, Carrie Davis et al. · Genome biology · 2016 · 219 citations · Full text
MOCAT: A Metagenomics Assembly and Gene Prediction Toolkit
Jens Roat Kultima, Shinichi Sunagawa, Junhua Li et al. · PLoS ONE · 2012 · 210 citations · Full text
Widespread purifying selection on RNA structure in mammals
Martin A. Smith, Tanja Gesell, Peter F. Stadler et al. · Nucleic Acids Research · 2013 · 178 citations · Full text
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248

SIB Swiss Institute of Bioinformatics
Lausanne, Switzerland
5 h-index
12 publications
863 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
14 publications
1.2K citations

The University of Melbourne
Melbourne, Australia
4 h-index
16 publications
840 citations
University of Zurich
Zurich, Switzerland
4 h-index
13 publications
955 citations
Inserm
Paris, France
3 h-index
6 publications
390 citations

Walter and Eliza Hall Institute of Medical Research
Melbourne, Australia
3 h-index
14 publications
749 citations
Stanford University
Stanford, United States
3 h-index
22 publications
2.2K citations

Johns Hopkins University
Baltimore, United States
2 h-index
3 publications
256 citations
1–8 of 248
6 publications · 452 citations
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5 publications · 158 citations
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5 publications · 510 citations
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Repository · 3 publications · 167 citations
3
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3 publications · 80 citations
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1–5