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Mohammed Baqur S. Al-Shuhaib

Researcher at Green University of Bangladesh

Publications -  68
Citations -  371

Mohammed Baqur S. Al-Shuhaib is an academic researcher from Green University of Bangladesh. The author has contributed to research in topics: Awassi & Genotype. The author has an hindex of 6, co-authored 49 publications receiving 182 citations. Previous affiliations of Mohammed Baqur S. Al-Shuhaib include United States Department of Agriculture.

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Exploring the Potential and Limitations of PCR-RFLP and PCR-SSCP for SNP Detection: A Review

TL;DR: This review provides a useful guide for comparing PCR-RFLP and PCR-SSCP in terms of their concepts, efficiency, ease of use, interpretation, and sensitivity as well as several other parameters.
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A universal, rapid, and inexpensive method for genomic DNA isolation from the whole blood of mammals and birds.

TL;DR: This is the first manuscript that describes use of distilled water as the only eliminator of RBCs among all other known DNA extraction techniques.
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Highly deleterious variations in COX1, CYTB, SCG5, FK2, PRL and PGF genes are the potential adaptation of the immigrated African ostrich population

TL;DR: The cumulative predictions from the present study are an impressive guide for the genotypes of African ostriches, which bypassed the expensive protocols for wet laboratory screening, to identify the effects of variants.
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Infection with different strains of SARS-CoV-2 in patients with COVID-19

TL;DR: The identified high frequency of truncated spike proteins suggests that defective SARS-CoV-2 depend on helper strains possessing intact spikes during infection, and another putative ACE2-independent route of viral infection is suggested.
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A Novel Missense Single Nucleotide Polymorphism in the GREM1 Gene is Highly Associated with Higher Reproductive Traits in Awassi Sheep

TL;DR: The results of the study suggest that p.Ile237Phe SNP has a remarkable negative impact on the gremlin1 structure, function, and stability, and could be a useful marker in marker-assisted selection.