Indra N. Sarkar, Ph.D.

Affiliations: 
2004 Columbia University, New York, NY 
Area:
Microbiology
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"Indra Sarkar"

Parents

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David H. Figurski grad student 2004 Columbia
 (Automated techniques for the identification and classification of evolutionarily significant genomic features.)

Children

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Joseph D Romano research assistant 2011-2014 University of Vermont (GenetiTree)
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Publications

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Karabachev AD, Martini DJ, Hermel DJ, et al. (2020) Curated multiple sequence alignment for the Adenomatous Polyposis Coli (APC) gene and accuracy of in silico pathogenicity predictions. Plos One. 15: e0233673
Bhatia K, Tanch J, Chen ES, et al. (2020) Applying FAIR Principles to Improve Data Searchability of Emergency Department Datasets: A Case Study for HCUP-SEDD. Methods of Information in Medicine
Schuster J, Superdock M, Agudelo A, et al. (2019) Machine learning approach to literature mining for the genetics of complex diseases. Database : the Journal of Biological Databases and Curation. 2019
Kim IE, Sarkar IN. (2019) Racial Representation Disparity of Population-Level Genomic Sequencing Efforts. Studies in Health Technology and Informatics. 264: 974-978
Sharma V, Holmes JH, Sarkar IN. (2016) Identifying Complementary and Alternative Medicine Usage Information from Internet Resources. A Systematic Review. Methods of Information in Medicine. 5
Romano JD, Tharp WG, Sarkar IN. (2015) Adapting simultaneous analysis phylogenomic techniques to study complex disease gene relationships. Journal of Biomedical Informatics. 54: 10-38
Chen ES, Sarkar IN. (2014) Mining the electronic health record for disease knowledge. Methods in Molecular Biology (Clifton, N.J.). 1159: 269-86
Sharma V, Sarkar IN. (2013) Leveraging concept-based approaches to identify potential phyto-therapies Journal of Biomedical Informatics. 46: 602-614
Sharma V, Sarkar IN. (2013) Leveraging biodiversity knowledge for potential phyto-therapeutic applications Journal of the American Medical Informatics Association. 20: 668-679
Payne PR, Pressler TR, Sarkar IN, et al. (2013) People, organizational, and leadership factors impacting informatics support for clinical and translational research. Bmc Medical Informatics and Decision Making. 13: 20
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