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Mainak Sengupta

Researcher at Indian Institute of Engineering Science and Technology, Shibpur

Publications - Ā 129
Citations - Ā 1203

Mainak Sengupta is an academic researcher from Indian Institute of Engineering Science and Technology, Shibpur. The author has contributed to research in topics: Switched reluctance motor & Finite element method. The author has an hindex of 14, co-authored 107 publications receiving 1003 citations. Previous affiliations of Mainak Sengupta include Council of Scientific and Industrial Research & Indian Institutes of Technology.

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Genetic landscape of the people of India: A canvas for disease gene exploration

Samir K. Brahmachari, +150 more
- 01 AprĀ 2008Ā -Ā 
TL;DR: High levels of genetic divergence are observed between groups of populations that cluster largely on the basis of ethnicity and language in diverse populations of India.
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Cytogenetic damage and genetic variants in the individuals susceptible to arsenic-induced cancer through drinking water.

TL;DR: Results show a protective role of GSTM1 null in arsenic toxicity and indicate that asymptomatic individuals are sub clinically affected and are also significantly susceptible to arsenicā€induced genotoxicity.
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Tyrosinase and ocular diseases: Some novel thoughts on the molecular basis of oculocutaneous albinism type 1

TL;DR: Two additional possibilities are proposed, which on further investigations might shed light on the molecular basis of UCMs in TYR of OCA1 patients; partial deletion of the exons 4 and 5 region of TYR that is homologous with TYRL and variations in the polymorphic GA complex repeat located between distal and proximal elements of the human TYR promoter that can modulate the expression of the gene leading to disease pathogenesis.
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Genetic defects in Indian Wilson disease patients and genotype-phenotype correlation.

TL;DR: The neurological involvement score was devised to capture the spectrum of neurological involvement in WD patients and generated a genotype-phenotype matrix that could be effectively used to depict the phenotypic spectra of WD affected individuals and serve as a platform to identify prospective "outliers" to be investigated for their remarkable phenotypesic divergence.