Journal of Proteomics & Bioinformatics
Open Access

Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India

Biography

Teaching and research Experience: 
M.Sc. (Bioinformatics)
M.Sc. (Computer Applications)
M.Sc. (Ag. Statistics)
Ph.D. (Ag. Statistics)

Research Interest: 

 

Computational Biology
Bioinformatics
Data Warehousing and Data Mining
Spatial Modeling and Simulation
Geo-informatics
Complex Survey Data Analysis

Publications

• Research Article   
  Standardizing Proteomics Workflow for Liquid Chromatography-Mass Spectrometry: Technical and Statistical Considerations
  Author(s): Sudhir Srivastava, Michael Merchant, Anil Rai and Shesh N. Rai*
  
  Introduction: The quantitative measurements based on liquid chromatography (LC) coupled with mass spectrometry (MS) often suffer from the problem of missing values and data heterogeneity from technical variability. We considered a proteomics data set generated from human kidney biopsy material to investigate the technical effects of sample preparation and the quantitative MS. Methods: We studied the effect of tissue storage methods (TSMs) and tissue extraction methods (TEMs) on data analysis. There are two TSMs: frozen (FR) and FFPE (formalin-fixed paraffin embedded); and three TEMs: MAX, TX followed by MAX and SDS followed by MAX. We assessed the impact of different strategies to analyze the data while considering heterogeneity and MVs. We have used analysis of variance (ANOVA) model to study the effects due to various sources of variabilit.. View More»
  DOI: 10.35248/0974-276X.19.12.496

  Abstract HTML PDF