PS
Parul Sharma
Emory University, Virginia Tech, Indraprastha Institute of Information Technology, Jaypee Institute of Information Technology
Employment
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Emory University Bioinformatics Scientist2023 - Present
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Virginia Tech Graduate Research Assistant2018 - 2023
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Indraprastha Institute of Information Technology Research Assistant2017 - 2017
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Institute of Genomics and Integrative Biology CSIR Thesis Student2016 - 2018
Education
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Virginia Tech PhD2018 - Present
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Indraprastha Institute of Information Technology Master's in Technology2015 - 2017
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Jaypee Institute of Information Technology Bachelor in Technology2011 - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (16)
- Detecting and typing Chlamydia trachomatis strains in metagenomes using the MetaChlam pipeline Save
- Putative azithromycin resistance mutations in Chlamydia trachomatis are globally distributed but arose before azithromycin was discovered Save
- Putative azithromycin-resistance mutations in Chlamydia trachomatis are globally distributed but arose before azithromycin was discovered Save
- LINgroups as a Robust Principled Approach to Compare and Integrate Multiple Bacterial Taxonomies Save
- Genotypic and Phenotypic Analyses ShowRalstonia solanacearumCool Virulence is a Quantitative Trait Not Restricted to “Race 3 biovar 2” Save
- Investigating plant disease outbreaks with long-read metagenomics: sensitive detection and highly resolved phylogenetic reconstruction applied to Xylella fastidiosa Save
- Meta-analysis of the Ralstonia solanacearum species complex (RSSC) based on comparative evolutionary genomics and reverse ecology Save
- Ice nucleation in a Gram-positive bacterium isolated from precipitation depends on a polyketide synthase and non-ribosomal peptide synthetase Save
- Meta Analysis of the Ralstonia solanacearum species complex (RSSC) based on comparative evolutionary genomics and reverse ecology Save
- Genetic Landscape of Rare Autoinflammatory Disease Variants in Qatar and Middle Eastern Populations Through the Integration of Whole-Genome and Exome Datasets Save