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プロフィール詳細

プロジェクトを作成

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Dr. Ashok Kumar S.に依頼

United States

プロフィール概要

Being a computational biologist and having a pharmaceutical background, I am pursuing my research at the interface of microbiome and pharmaceuticals. Essentially, my interest is to explore diet-microbe-host interactions using computational approaches. To that end, I am specifically interested in the development of computational algorithms, analysis of multi-omics and other high-throughput datasets from a diagnostic and therapeutic perspective.

専門分野

• ☆ Microbiome Research
• ☆ Genetics
• ☆ Omics
• ☆ Next Generation Sequencing (NGS)
• ☆ Software Engineering
• ☆ Data Analysis
• ☆ Machine Learning
• ☆ Bioinformatics
• ☆ Pharmaceutical Sciences

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

職務経験

Postdoctoral Associate

University of Minnesota

3月 2018 - 現在

学歴

PhD

Indian Institute of Science Education and Research Bhopal

1月 2013 - 1月 2018

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

(2020). Oral Microbiome Profiling in Smokers with and without Head and Neck Cancer Reveals Variations Between Health and Disease . Cancer prevention research (Philadelphia, Pa.).

(2019). Association of Flavonifractor plautii, a Flavonoid-Degrading Bacterium, with the Gut Microbiome of Colorectal Cancer Patients in India . mSystems.

(2019). Plasticity in the Human Gut Microbiome Defies Evolutionary Constraints . mSphere.

(2019). Mapping gastrointestinal gene expression patterns in wild primates and humans via fecal RNA-seq . BMC genomics.

(2019). Gut microbiome composition of wild western lowland gorillas is associated with individual age and sex factors . American journal of physical anthropology.

(2019). The unique composition of Indian gut microbiome, gene catalogue and associated faecal metabolome deciphered using multi-omics approaches . GigaScience.

(2018). Mechanistic and structural insight into promiscuity based metabolism of cardiac drug digoxin by gut microbial enzyme . Journal of Cellular Biochemistry. 119. (7). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 5287-5296.

(2018). Genome Sequence of Peacock Reveals the Peculiar Case of a Glittering Bird . Frontiers in Genetics. 9.

Gupta, Sudheer, Sharma, Ashok K., Shastri, Vibhuti, Madhu, Midhun K., Sharma, Vineet K.(2017). Prediction of anti-inflammatory proteins/peptides: an insilico approach . Journal of Translational Medicine. 15.

Sharma, Ashok K., Srivastava, Gopal N., Roy, Ankita, Sharma, Vineet K.(2017). ToxiM: A Toxicity Prediction Tool for Small Molecules Developed Using Machine Learning and Chemoinformatics Approaches . Frontiers in Pharmacology. 8.

Sharma, Ashok K., Jaiswal, Shubham K., Chaudhary, Nikhil, Sharma, Vineet K.(2017). A novel approach for the prediction of species-specific biotransformation of xenobiotic/drug molecules by the human gut microbiota . Scientific Reports. 7.

(2016). Prediction of peptidoglycan hydrolases- a new class of antibacterial proteins . Bmc Genomics. 17.

Gupta, Sudheer, Gupta, Sudheer, Sharma, Ashok K., Jaiswal, Shubham K., Sharma, Vineet K.(2016). Prediction of Biofilm Inhibiting Peptides: An In silico Approach . Frontiers in Microbiology. 7.

Gupta, Sudheer, Madhu, Midhun K., Sharma, Ashok K., Sharma, Vineet K.(2016). ProInflam: a webserver for the prediction of proinflammatory antigenicity of peptides and proteins . Journal of Translational Medicine. 14.

Chaudhary, Nikhil, Sharma, Ashok K., Agarwal, Piyush, Gupta, Ankit, Sharma, Vineet K.(2015). 16S Classifier: A Tool for Fast and Accurate Taxonomic Classification of 16S rRNA Hypervariable Regions in Metagenomic Datasets . Plos One. 10. (2).

Sharma, Ashok K., Gupta, Ankit, Kumar, Sanjiv, Dhakan, Darshan B., Sharma, Vineet K.(2015). Woods: A fast and accurate functional annotator and classifier of genomic and metagenomic sequences . Genomics. 106. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1-6.