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European value-based healthcare benchmarking: moving from theory to practice.

• Authors : García-Lorenzo B; Gorostiza A ...

Subjects: Benchmarking*/Benchmarking*/Benchmarking*/methods ; Quality of Health Care*; Humans

• Source: European journal of public health [Eur J Public Health] 2024 Feb 05; Vol. 34 (1), pp. 44-51.Publisher: Oxford University Press Country of Publication: England NLM ID: 9204966 Publication Model: Print Cited Medium:

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Benchmarking multi-platform sequencing technologies for human genome assembly.

• Authors : Wang J; Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China.; Veldsman WP

Subjects: Genome, Human* ; Benchmarking*; Humans

• Source: Briefings in bioinformatics [Brief Bioinform] 2023 Sep 20; Vol. 24 (5).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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A comprehensive benchmarking of differential splicing tools for RNA-seq analysis at the event level.

• Authors : Jiang M; Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Rui-Jin Hospital, Shanghai Jiao Tong University School of Medicine and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 197 Ruijin Er Road, Shanghai 200025, China.; Zhang S

Subjects: Software* ; Benchmarking*; RNA-Seq

• Source: Briefings in bioinformatics [Brief Bioinform] 2023 May 19; Vol. 24 (3).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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Rigorous benchmarking of T-cell receptor repertoire profiling methods for cancer RNA sequencing.

• Authors : Peng K; Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, USA.; Nowicki TS

Subjects: Benchmarking* ; Neoplasms*/Neoplasms*/Neoplasms*/genetics; Humans

• Source: Briefings in bioinformatics [Brief Bioinform] 2023 Jul 20; Vol. 24 (4).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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Benchmarking of analytical combinations for COVID-19 outcome prediction using single-cell RNA sequencing data.

• Authors : Cao Y; School of Mathematics and Statistics, The University of Sydney, NSW 2006, Australia.; Charles Perkins Centre, The University of Sydney, NSW 2006, Australia.

Subjects: Benchmarking* ; COVID-19*; Humans

• Source: Briefings in bioinformatics [Brief Bioinform] 2023 May 19; Vol. 24 (3).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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Benchmarking of computational methods for m6A profiling with Nanopore direct RNA sequencing

• Authors : Maestri, S; Furlan, M; Mulroney, L

Subjects: benchmarking; dRNA-seq; machine learning

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IBRAP: integrated benchmarking single-cell RNA-sequencing analytical pipeline.

• Authors : Knight CH; Centre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ.; Khan F

Subjects: Software* ; Benchmarking*; Sequence Analysis, RNA/Sequence Analysis, RNA/Sequence Analysis, RNA/methods

• Source: Briefings in bioinformatics [Brief Bioinform] 2023 Mar 19; Vol. 24 (2).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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simAIRR: simulation of adaptive immune repertoires with realistic receptor sequence sharing for benchmarking of immune state prediction methods.

• Authors : Kanduri C; Centre for Bioinformatics, Department of Informatics, University of Oslo, 0373 Oslo, Norway.; UiORealArt Convergence Environment, University of Oslo, 0373 Oslo, Norway.

Subjects: Benchmarking*; Computer Simulation

• Source: GigaScience [Gigascience] 2022 Dec 28; Vol. 12. Date of Electronic Publication: 2023 Oct 17.Publisher: Oxford University Press Country of Publication: United States NLM ID: 101596872 Publication Model: Print-Electronic

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Systematic benchmarking of statistical methods to assess differential expression of circular RNAs.

• Authors : Buratin A; Department of Molecular Medicine, University of Padova, Padova, Italy.; Bortoluzzi S

Subjects: RNA, Circular* ; Benchmarking*/Benchmarking*/Benchmarking*/methods; Sequence Analysis, RNA/Sequence Analysis, RNA/Sequence Analysis, RNA/methods

• Source: Briefings in bioinformatics [Brief Bioinform] 2023 Jan 19; Vol. 24 (1).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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Benchmarking cell-type clustering methods for spatially resolved transcriptomics data.

• Authors : Cheng A; Department of Computer Science, Rutgers, The State University of New Jersey, 110 Frelinghuysen Road, Piscataway, 08854, NJ, USA.; Hu G

Subjects: Transcriptome* ; Benchmarking*; Gene Expression Profiling/Gene Expression Profiling/Gene Expression Profiling/methods

• Source: Briefings in bioinformatics [Brief Bioinform] 2023 Jan 19; Vol. 24 (1).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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