Author

Megumi Inoue

Nagasaki UniversityORCID 0000-0002-6595-8282Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:mouse· 1 Organism:rat· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Abhinay RamaprasadiD· 1 shared Arita Acharjee· 1 shared Arnab PainiD· 1 shared Augustin Zoungrana· 1 shared Axel MartinelliiD· 1 shared Christopher J. R. IllingworthiD· 1 shared Hayato MitakaiD· 1 shared Hussein Molu AbkalloiD· 1 shared

Activity by Year

2017-2017 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Abhinay RamaprasadORCID

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1 paper

Recent·Most cited

Quantitative Seq-LGS: Genome-Wide Identification of Genetic Drivers of Multiple Phenotypes in Malaria Parasites

Hussein Molu Abkallo, Axel Martinelli, Megumi Inoue, Abhinay Ramaprasad, Phonepadith Xangsayarath, Jesse Gitaka, Jianxia Tang, Kazuhide Yahata, Augustin Zoungrana, Hayato Mitaka, Arita Acharjee, Partha P. Datta, Paul Hunt, Richard Carter, Osamu Kaneko, , Richard Leighton Culleton

This paper introduces a method to identify genetic drivers of multiple phenotypes in malaria parasites by combining LGS, sequencing, and mathematical modeling, demonstrating its effectiveness in detecting novel alleles for growth rate and strain-specific immunity.

PLoS Pathogens · Jul 12, 2017Peer-reviewedGenomics