Harinder Singh, PhD

Staff Scientist
301-795-7684

Harinder Singh, Ph.D. is a Staff Scientist in the Infectious Disease Department at the J. Craig Venter Institute (JCVI). Dr. Singh's area of research is mostly focused on various data analysis, data mining, development of prediction algorithm and databases and bioinformatics pipelines for the scientific community. Dr. Singh has significant experience in analyzing proteomics, metabolomics, expression, microbiome and metagenomics datasets using various bioinformatics pipelines. Dr. Singh's interest lies in understanding the long-term effects of diabetes and predict bio-signature with the progression of diabetes using meta-omics dataset and system biology. Dr. Singh received his Ph.D. from CSIR-Institute of Microbial Technology in Bioinformatics and obtained his master’s degree in biotechnology from Thapar University, INDIA.

Research Priorities

Analysis of microbiomes using metagenomics
  • Understanding human disease diagnosis and progression due to changes in the microbiome.
  • Prediction of geo-location based on the personal microbiome.
Understanding diabetes and chronic kidney diseases
  • Protein biomarkers for diagnosis and progression of diabetes and chronic kidney disease.
Development of Bioinformatics tools
  • Pipeline for analyzing different ‘omics data.
  • Development of prediction methods for understanding complex datasets.
  • Management and development of databases and web-based applications.

Publications

Singh H, Singh S, Singla D, Agarwal SM, Raghava GP
QSAR based model for discriminating EGFR inhibitors and non-inhibitors using Random forest.
Biology direct. 2015-03-25; 10.10.
PMID: 25880749
Singh H, Singh S, Raghava GP
Evaluation of protein dihedral angle prediction methods.
PloS one. 2014-01-01; 9.10: e105667.
PMID: 25166857
Singh H, Ansari HR, Raghava GP
Improved method for linear B-cell epitope prediction using antigen's primary sequence.
PloS one. 2013-01-01; 8.12: e62216.
PMID: 23667458
Singh H, Chauhan JS, Gromiha MM, Open Source Drug Discovery Consortium, Raghava GP
ccPDB: compilation and creation of data sets from Protein Data Bank.
Nucleic acids research. 2012-01-01; 40.Database issue: D486-9.
PMID: 22139939

Research Priorities

Analysis of microbiomes using metagenomics
  • Understanding human disease diagnosis and progression due to changes in the microbiome.
  • Prediction of geo-location based on the personal microbiome.
Understanding diabetes and chronic kidney diseases
  • Protein biomarkers for diagnosis and progression of diabetes and chronic kidney disease.
Development of Bioinformatics tools
  • Pipeline for analyzing different ‘omics data.
  • Development of prediction methods for understanding complex datasets.
  • Management and development of databases and web-based applications.

Improving Treatments for Urinary Tract Infections

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Gut Microbiome Sysbiosis in Childhood Acute Lymphoblastic Leukemia (ALL) Patients

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Biomarker Discovery and Systems Biology for Types 1 and 2 Diabetes and Healthy Aging

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Genomics and Proteomics Approaches to T1D

This study addresses the complex interactions between the host and environmental factors as they relate to the development of Type I Diabetes (T1D). 

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Human Hair Microbiota

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