Ambarish Sharan Vidyarthi

发表

Identification of single exon genes and their encoded proteins in rice (Oryza sativa L.) genome: an in silico approach

Ashutosh Kumar, Amita Barik, Megha Kumari, 2011, Int. J. Bioinform. Res. Appl..

Meropenem: a potent drug against superbug as unveiled through bioinformatics approaches

Shankaracharya, Devang Odedra, Ambarish Sharan Vidyarthi, 2013, Int. J. Bioinform. Res. Appl..

Pharmacophore Modeling and 3D-QSARStudy of Acridine Derivatives for theDevelopment of Better Antileishmanial Agents

Ambarish Sharan Vidyarthi, Raju Poddar, Nutan Chauhan, 2013 .

Development of Java based graphical user interface for Diagnosis of Hepatitis UsingI Mixture of Expert

Ambarish Sharan Vidyarthi, Suchitra Kumari, M Shankaracharya, 2012 .

In silico analysis of motifs in promoters of Differentially Expressed Genes in rice (Oryza sativa L.) under anoxia

Ashutosh Kumar, Shankaracharya, Shuchi Smita, 2009, Int. J. Bioinform. Res. Appl..

Evaluation of Codon Bias Perspectives in Phage Therapy of Mycobacterium tuberculosis by Multivariate Analysis

Ambarish Sharan Vidyarthi, Raju Poddar, Ashutosh Ranjan, 2007, Silico Biol..

Comparative Multivariate Analysis of Codon and Amino Acid Usage in Three Leishmania Genomes

Ambarish Sharan Vidyarthi, Raju Poddar, Nutan Chauhan, 2011, Genom. Proteom. Bioinform..

Computational Intelligence in Early Diabetes Diagnosis

Devang Odedra, Subir Samanta, Ambarish Sharan Vidyarthi, 2010 .

A re-appraisal on intensification of biogas production

Ambarish Sharan Vidyarthi, Priyanka Gupta, Ashish Sachan, 2012 .

Unraveling the microbial interactions in coal organic fermentation for generation of methane — A classical to metagenomic approach

Ambarish Sharan Vidyarthi, Priyanka Jha, A. S. Vidyarthi, 2014 .