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Meenu Ghai

Showing results (11-20 of 26) with videos related to

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Forensic Science International|April 24, 2023
Analysis of Y-STR diversity and DNA methylation variation among Black and Indian males from KwaZulu-Natal, South AfricaSthabile Shabalala, Meenu Ghai, Moses Okpeku
Molecular Genetics and Genomics : MGG|August 15, 2022
Sex-specific DNA methylation: impact on human health and developmentPriyanka Govender, Meenu Ghai, Moses Okpeku
Applied Microbiology and Biotechnology|January 14, 2026
Characterization of the oral microbiome in the diverse South African population by PacBio HiFi sequencingPriyanka Govender, Errol Cason, Meenu Ghai
Behavioural Brain Research|December 15, 2017
The effects of DNA methylation on human psychologyFarzeen Kader, Meenu Ghai, Leah Maharaj
Journal of Forensic Sciences|April 24, 2026
Recovery of male DNA acquired from carrion-feeding insects in a simulated sexual assault scenarioTinotenda Angel Mupfumi, Meenu Ghai, Danisile Tembe
International Journal of Legal Medicine|November 13, 2019
Characterization of DNA methylation-based markers for human body fluid identification in forensics: a critical reviewFarzeen Kader, Meenu Ghai, Ademola O Olaniran
International Journal of Legal Medicine|November 1, 2025
The human skin microbiome: factors affecting individuality and application in forensic investigationsMishka Dass, Nathlee S Abbai, Meenu Ghai
Molecular Biology Research Communications|August 18, 2020
Molecular characterization and DNA methylation profile of <i>Libyodrilus violaceous</i> from oil polluted soilAemere Ogunlaja, Vikas Sharma, Meenu Ghai, et al.
Forensic Science International. Genetics|September 26, 2020
Identification of novel semen and saliva specific methylation markers and its potential application in forensic analysisMeenu Ghai, Natalie Naidoo, Dyfed Lloyd Evans, et al.
International Journal of Environmental Research and Public Health|November 11, 2022
Accuracy of Machine Learning Classification Models for the Prediction of Type 2 Diabetes Mellitus: A Systematic Survey and Meta-Analysis ApproachMicheal O Olusanya, Ropo Ebenezer Ogunsakin, Meenu Ghai, et al.
Pageof 3

Showing results (11-20 of 26) with videos related to

Sort By:
Pageof 3
Forensic Science International|April 24, 2023
Analysis of Y-STR diversity and DNA methylation variation among Black and Indian males from KwaZulu-Natal, South AfricaSthabile Shabalala, Meenu Ghai, Moses Okpeku
Molecular Genetics and Genomics : MGG|August 15, 2022
Sex-specific DNA methylation: impact on human health and developmentPriyanka Govender, Meenu Ghai, Moses Okpeku
Applied Microbiology and Biotechnology|January 14, 2026
Characterization of the oral microbiome in the diverse South African population by PacBio HiFi sequencingPriyanka Govender, Errol Cason, Meenu Ghai
Behavioural Brain Research|December 15, 2017
The effects of DNA methylation on human psychologyFarzeen Kader, Meenu Ghai, Leah Maharaj
Journal of Forensic Sciences|April 24, 2026
Recovery of male DNA acquired from carrion-feeding insects in a simulated sexual assault scenarioTinotenda Angel Mupfumi, Meenu Ghai, Danisile Tembe
International Journal of Legal Medicine|November 13, 2019
Characterization of DNA methylation-based markers for human body fluid identification in forensics: a critical reviewFarzeen Kader, Meenu Ghai, Ademola O Olaniran
International Journal of Legal Medicine|November 1, 2025
The human skin microbiome: factors affecting individuality and application in forensic investigationsMishka Dass, Nathlee S Abbai, Meenu Ghai
Molecular Biology Research Communications|August 18, 2020
Molecular characterization and DNA methylation profile of <i>Libyodrilus violaceous</i> from oil polluted soilAemere Ogunlaja, Vikas Sharma, Meenu Ghai, et al.
Forensic Science International. Genetics|September 26, 2020
Identification of novel semen and saliva specific methylation markers and its potential application in forensic analysisMeenu Ghai, Natalie Naidoo, Dyfed Lloyd Evans, et al.
International Journal of Environmental Research and Public Health|November 11, 2022
Accuracy of Machine Learning Classification Models for the Prediction of Type 2 Diabetes Mellitus: A Systematic Survey and Meta-Analysis ApproachMicheal O Olusanya, Ropo Ebenezer Ogunsakin, Meenu Ghai, et al.
Pageof 3