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Peter Krusche

Showing results (11-20 of 15) with videos related to

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Nature Biotechnology|March 13, 2019
Best practices for benchmarking germline small-variant calls in human genomesPeter Krusche, Len Trigg, Paul C Boutros, et al.
Nature Biotechnology|March 23, 2019
Author Correction: Best practices for benchmarking germline small-variant calls in human genomesPeter Krusche, Len Trigg, Paul C Boutros, et al.
Bioinformatics (Oxford, England)|May 29, 2019
ExpansionHunter: a sequence-graph-based tool to analyze variation in short tandem repeat regionsEgor Dolzhenko, Viraj Deshpande, Felix Schlesinger, et al.
BMC Medical Research Methodology|November 14, 2021
Advancing data science in drug development through an innovative computational framework for data sharing and statistical analysisAnn-Marie Mallon, Dieter A Häring, Frank Dahlke, et al.
Clinical Pharmacology and Therapeutics|November 15, 2023
Methodology for Good Machine Learning with Multi-Omics DataThibaud Coroller, Berkman Sahiner, Anup Amatya, et al.
Pageof 2

Showing results (11-20 of 15) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 15 results.
Nature Biotechnology|March 13, 2019
Best practices for benchmarking germline small-variant calls in human genomesPeter Krusche, Len Trigg, Paul C Boutros, et al.
Nature Biotechnology|March 23, 2019
Author Correction: Best practices for benchmarking germline small-variant calls in human genomesPeter Krusche, Len Trigg, Paul C Boutros, et al.
Bioinformatics (Oxford, England)|May 29, 2019
ExpansionHunter: a sequence-graph-based tool to analyze variation in short tandem repeat regionsEgor Dolzhenko, Viraj Deshpande, Felix Schlesinger, et al.
BMC Medical Research Methodology|November 14, 2021
Advancing data science in drug development through an innovative computational framework for data sharing and statistical analysisAnn-Marie Mallon, Dieter A Häring, Frank Dahlke, et al.
Clinical Pharmacology and Therapeutics|November 15, 2023
Methodology for Good Machine Learning with Multi-Omics DataThibaud Coroller, Berkman Sahiner, Anup Amatya, et al.
Pageof 2