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Hamed Haselimashhadi

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

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Mammalian Genome : Official Journal of the International Mammalian Genome Society|May 8, 2023
A consensus score to combine inferences from multiple centresHamed Haselimashhadi, Kolawole Babalola, Robert Wilson, et al.
Mammalian Genome : Official Journal of the International Mammalian Genome Society|September 15, 2021
Pleiotropy data resource as a primer for investigating co-morbidities/multi-morbidities and their role in diseaseVioleta Muñoz-Fuentes, Hamed Haselimashhadi, Luis Santos, et al.
Plos One|December 30, 2020
OpenStats: A robust and scalable software package for reproducible analysis of high-throughput phenotypic dataHamed Haselimashhadi, Jeremy C Mason, Ann-Marie Mallon, et al.
Nature Communications|December 12, 2022
Sex differences in allometry for phenotypic traits in mice indicate that females are not scaled malesLaura A B Wilson, Susanne R K Zajitschek, Malgorzata Lagisz, et al.
Plos Biology|February 13, 2026
New approaches to meta-analyze differences in skewness, kurtosis, and correlationPietro Pollo, Szymon M Drobniak, Hamed Haselimashhadi, et al.
Mammalian Genome : Official Journal of the International Mammalian Genome Society|February 16, 2020
A comprehensive and comparative phenotypic analysis of the collaborative founder strains identifies new and known phenotypesHeike Kollmus, Helmut Fuchs, Christoph Lengger, et al.
Nature Communications|February 2, 2020
Human and mouse essentiality screens as a resource for disease gene discoveryPilar Cacheiro, Violeta Muñoz-Fuentes, Stephen A Murray, et al.
Pain|May 13, 2022
Identifying genetic determinants of inflammatory pain in mice using a large-scale gene-targeted screenJanine M Wotton, Emma Peterson, Ann M Flenniken, et al.
Nature Communications|January 20, 2018
Identification of genetic elements in metabolism by high-throughput mouse phenotypingJan Rozman, Birgit Rathkolb, Manuela A Oestereicher, et al.
Bioinformatics (Oxford, England)|October 9, 2019
Soft windowing application to improve analysis of high-throughput phenotyping dataHamed Haselimashhadi, Jeremy C Mason, Violeta Munoz-Fuentes, et al.
Pageof 1

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

Sort By:
Pageof 1
Mammalian Genome : Official Journal of the International Mammalian Genome Society|May 8, 2023
A consensus score to combine inferences from multiple centresHamed Haselimashhadi, Kolawole Babalola, Robert Wilson, et al.
Mammalian Genome : Official Journal of the International Mammalian Genome Society|September 15, 2021
Pleiotropy data resource as a primer for investigating co-morbidities/multi-morbidities and their role in diseaseVioleta Muñoz-Fuentes, Hamed Haselimashhadi, Luis Santos, et al.
Plos One|December 30, 2020
OpenStats: A robust and scalable software package for reproducible analysis of high-throughput phenotypic dataHamed Haselimashhadi, Jeremy C Mason, Ann-Marie Mallon, et al.
Nature Communications|December 12, 2022
Sex differences in allometry for phenotypic traits in mice indicate that females are not scaled malesLaura A B Wilson, Susanne R K Zajitschek, Malgorzata Lagisz, et al.
Plos Biology|February 13, 2026
New approaches to meta-analyze differences in skewness, kurtosis, and correlationPietro Pollo, Szymon M Drobniak, Hamed Haselimashhadi, et al.
Mammalian Genome : Official Journal of the International Mammalian Genome Society|February 16, 2020
A comprehensive and comparative phenotypic analysis of the collaborative founder strains identifies new and known phenotypesHeike Kollmus, Helmut Fuchs, Christoph Lengger, et al.
Nature Communications|February 2, 2020
Human and mouse essentiality screens as a resource for disease gene discoveryPilar Cacheiro, Violeta Muñoz-Fuentes, Stephen A Murray, et al.
Pain|May 13, 2022
Identifying genetic determinants of inflammatory pain in mice using a large-scale gene-targeted screenJanine M Wotton, Emma Peterson, Ann M Flenniken, et al.
Nature Communications|January 20, 2018
Identification of genetic elements in metabolism by high-throughput mouse phenotypingJan Rozman, Birgit Rathkolb, Manuela A Oestereicher, et al.
Bioinformatics (Oxford, England)|October 9, 2019
Soft windowing application to improve analysis of high-throughput phenotyping dataHamed Haselimashhadi, Jeremy C Mason, Violeta Munoz-Fuentes, et al.
Pageof 1