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Anuj Gupta
Researcher at Georgia Institute of Technology
Publications - 4
Citations - 110
Anuj Gupta is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Sequence assembly & k-mer. The author has an hindex of 4, co-authored 4 publications receiving 80 citations. Previous affiliations of Anuj Gupta include The Wallace H. Coulter Department of Biomedical Engineering.
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stringMLST: a fast k-mer based tool for multilocus sequence typing.
TL;DR: The stringMLST as discussed by the authors is an assembly-and alignment-free, lightweight, platform-independent program capable of rapidly typing bacterial isolates directly from raw sequence reads, using a simple hash table data structure to find exact matches between short sequence strings (k-mers) and an MLST allele library.
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Metabolic modeling helps interpret transcriptomic changes during malaria.
Yan Tang,Anuj Gupta,Swetha Garimalla,Mary R. Galinski,Mark P. Styczynski,Luis L. Fonseca,Eberhard O. Voit +6 more
TL;DR: A model-based interpretation of expression data of genes coding for enzymes associated with purine metabolism obtained during infections of rhesus macaques with the malaria parasite reveals clear patterns of flux redistribution within the purine pathway that are consistent between the two malaria pathogens.
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Dramatic transcriptomic differences in Macaca mulatta and Macaca fascicularis with Plasmodium knowlesi infections.
Anuj Gupta,Mark P. Styczynski,Mary R. Galinski,Mary R. Galinski,Eberhard O. Voit,Luis L. Fonseca,Luis L. Fonseca +6 more
TL;DR: In this article, the authors compared P. knowlesi sporozoite-initiated infections in Macaca mulatta and Macaca fascicularis using whole blood RNA-sequencing and transcriptomic analysis.
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The three-legged stool of understanding metabolism: integrating metabolomics with biochemical genetics and computational modeling
TL;DR: It is proposed that the tight integration of modern, system-wide omics with traditional experimental bench science and dedicated computational approaches is an important prerequisite toward the optimal acquisition of knowledge regarding metabolism and physiology in health and disease.