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Ian McQuillan

Showing results (1-10 of 9) with videos related to

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Methods (San Diego, Calif.)|January 18, 2025
SV-JIM, detailed pairwise structural variant calling using long-reads and genome assembliesClarence Todd, Lingling Jin, Ian McQuillan
BMC Genomics|December 9, 2017
Computational identification of harmful mutation regions to the activity of transposable elementsLingling Jin, Ian McQuillan, Longhai Li
Proteomics|August 3, 2011
Speed improvements of peptide-spectrum matching using single-instruction multiple-data instructionsJian Zhang, Ian McQuillan, Fang-Xiang Wu
Frontiers in Genetics|September 6, 2021
Comparative Analyses of Gene Co-expression Networks: Implementations and Applications in the Study of EvolutionKatie Ovens, B Frank Eames, Ian McQuillan
BMC Bioinformatics|March 17, 2021
Juxtapose: a gene-embedding approach for comparing co-expression networksKatie Ovens, Farhad Maleki, B Frank Eames, et al.
Human Genomics|October 23, 2019
Size matters: how sample size affects the reproducibility and specificity of gene set analysisFarhad Maleki, Katie Ovens, Ian McQuillan, et al.
Genes|October 23, 2021
Silver: Forging almost Gold Standard DatasetsFarhad Maleki, Katie Ovens, Ian McQuillan, et al.
Frontiers in Physiology|March 20, 2023
Deciphering the functions of Stromal Interaction Molecule-1 in amelogenesis using AmelX-iCre miceRaed Said, Helyasadat Mortazavi, David Cooper, et al.
Frontiers in Plant Science|January 24, 2022
Exploiting High-Throughput Indoor Phenotyping to Characterize the Founders of a Structured <i>B. napus</i> Breeding PopulationJana Ebersbach, Nazifa Azam Khan, Ian McQuillan, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Methods (San Diego, Calif.)|January 18, 2025
SV-JIM, detailed pairwise structural variant calling using long-reads and genome assembliesClarence Todd, Lingling Jin, Ian McQuillan
BMC Genomics|December 9, 2017
Computational identification of harmful mutation regions to the activity of transposable elementsLingling Jin, Ian McQuillan, Longhai Li
Proteomics|August 3, 2011
Speed improvements of peptide-spectrum matching using single-instruction multiple-data instructionsJian Zhang, Ian McQuillan, Fang-Xiang Wu
Frontiers in Genetics|September 6, 2021
Comparative Analyses of Gene Co-expression Networks: Implementations and Applications in the Study of EvolutionKatie Ovens, B Frank Eames, Ian McQuillan
BMC Bioinformatics|March 17, 2021
Juxtapose: a gene-embedding approach for comparing co-expression networksKatie Ovens, Farhad Maleki, B Frank Eames, et al.
Human Genomics|October 23, 2019
Size matters: how sample size affects the reproducibility and specificity of gene set analysisFarhad Maleki, Katie Ovens, Ian McQuillan, et al.
Genes|October 23, 2021
Silver: Forging almost Gold Standard DatasetsFarhad Maleki, Katie Ovens, Ian McQuillan, et al.
Frontiers in Physiology|March 20, 2023
Deciphering the functions of Stromal Interaction Molecule-1 in amelogenesis using AmelX-iCre miceRaed Said, Helyasadat Mortazavi, David Cooper, et al.
Frontiers in Plant Science|January 24, 2022
Exploiting High-Throughput Indoor Phenotyping to Characterize the Founders of a Structured <i>B. napus</i> Breeding PopulationJana Ebersbach, Nazifa Azam Khan, Ian McQuillan, et al.
Pageof 1