Mohammad Samir Farooqi Author
Subjects of specialization
Affiliation
Bioinformatics, Expert System , Information Systems Management, Dataware housing
Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, Pusa, New Delhi 110012, India
Mohammad Samir Farooqi is currently working as a Professor in ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India and he also worked as a Researcher at Indian Agricultural Statistics Research Institute · Centre for Agricultural Bio-Informatics (CAB-in). Hiscurrent resaerch interts includes Statistical Analysis, Applied Statistics.
Review Article Open Access
Author(s): Mohammad Samir Farooqi, DC Mishra, KK Chaturvedi, Anil Rai, SB Lal, Sanjeev Kumar, Jyotika Bhati and Anu Sharma
The next generation sequencing technology, RNA-sequencing (RNA-seq), has got growing acceptance in transcriptome analyses. Statistical methods used for gene expression analyses with RNAseq provide meaningful inferences of gene expression using counts of reads. There are various statistical models with its pros and cons available for RNA-seq data analysis. There is a need for consistent statistical methods to explore the information from the developing sequencing technologies. The current article gives a review of the statistical methods with their limitations that can be useful for the RNA-seq analysis. The main emphasis is given to the parametric, nonparametric and hybrid models for identifying the genes with differential expression.
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