Calvin Mok
University of Washington
4 Papers
10 Citations
Calvin Mok is an academic researcher from University of Washington. The author has contributed to research in topics: Population & Mutant. The author has an hindex of 2, co-authored 4 publications.
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Papers
MIP-MAP: High-Throughput Mapping of Caenorhabditis elegans Temperature Sensitive Mutants via Molecular Inversion Probes
Calvin Mok,Vinci Au,Owen Thompson,Mark L. Edgley,Louis Gevirtzman,John Yochem,Joshua B. Lowry,Nadin Memar,Matthew R. Wallenfang,Dominique Rasoloson,Bruce Bowerman,Ralf Schnabel,Geraldine Seydoux,Donald G. Moerman,Robert H. Waterston +14 more
TL;DR: The results suggest this collection of strains contains a diverse library of TS alleles for genes involved in development and reproduction, and the MIP-MAP protocol is a robust method to genetically map mutations in both viable and essential genes.
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PhenoMIP: High Throughput Phenotyping of Diverse C. elegans Populations via Molecular Inversion Probes
TL;DR: A pooled competitive fitness approach to quantitatively phenotype subpopulations of sequenced collections via molecular inversion probes (PhenoMIP) is presented and it is suggested that approximately 80% of MMP mutant strains may have a decreased fitness relative to the lab reference, N2.
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PhenoMIP: High-Throughput Phenotyping of Diverse Caenorhabditis elegans Populations via Molecular Inversion Probes.
TL;DR: A pooled competitive fitness approach to quantitatively phenotype subpopulations of sequenced collections via molecular inversion probes (PhenoMIP), which suggests that approximately 80% of MMP mutant strains may have a decreased fitness relative to the lab reference, N2.
MIP-MAP: High-Throughput Mapping of Caenorhabditis elegans Temperature-Sensitive Mutants via Molecular Inversion Probes.
Calvin Mok,Vinci Au,Owen Thompson,Mark L. Edgley,Louis Gevirtzman,John Yochem,Joshua B. Lowry,Nadin Memar,Matthew R. Wallenfang,Dominique Rasoloson,Bruce Bowerman,Ralf Schnabel,Geraldine Seydoux,Donald G. Moerman,Robert H. Waterston +14 more
TL;DR: MIP-MAP is a robust method to genetically map mutations in both viable and essential genes and should be adaptable to other organisms and may also simplify tracking of individual genotypes within population mixtures.