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Sudeepto Bhattacharya

Researcher at Shiv Nadar University

Publications -  13
Citations -  131

Sudeepto Bhattacharya is an academic researcher from Shiv Nadar University. The author has contributed to research in topics: Wildlife corridor & Population. The author has an hindex of 5, co-authored 12 publications receiving 62 citations.

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Comparative transcriptome meta-analysis of Arabidopsis thaliana under drought and cold stress

TL;DR: Meta-analysis and co-expression network comparison of drought and cold stress response in Arabidopsis thaliana and gene ontology-based enrichment analysis identified shared biological processes and molecular mechanisms such as—‘photosynthesis’, ‘respiratory burst’ and ‘response to hormone’ which were affected under cold and drought stress.
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Modelling critical patches of connectivity for invasive Maling bamboo (Yushania maling) in Darjeeling Himalayas using graph theoretic approach

TL;DR: In this article, a graph theoretic network approach has been used to model the potential connectivity of the natural areas in Darjeeling Himalayas which provide connectivity to the invasive species Maling bamboo ( Yushania maling ).
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Abiotic stress induced miRNA-TF-gene regulatory network: A structural perspective.

TL;DR: A stress-specific TF-miRNA-gene network was built for Arabidopsis under drought, cold, salt and waterlogging stress using data from reliable publically available databases; and transcriptome and degradome sequence data analysis by meta-analysis approach elucidated significantly dense, scale-free, small world and hierarchical backbone of interactions.
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A graph theoretic approach for modelling tiger corridor network in Central India-Eastern Ghats landscape complex, India

TL;DR: Game theory and graph theory are used to model and design a wildlife corridor in the Central India – Eastern Ghats landscape complex, with tiger as the focal species and a cost matrix is constructed to indicate the cost incurred by the tiger for passage between the habitat patches in the landscape.
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Abiotic Stress-Responsive miRNA and Transcription Factor-Mediated Gene Regulatory Network in Oryza sativa: Construction and Structural Measure Study.

TL;DR: In this paper, the authors have constructed multiple abiotic stresses responsive TF-miRNA-gene regulatory network for Oryza sativa using transcriptome and degradome sequencing data meta-analysis approach.