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@Rupard
Member since 2016年11月9日
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Rupal

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I am a research scholar of bioinformatics with extensive experience in genomic data analysis, computational biology, computer simulation and mathematical modelling of complex biological systems. My expertise also include drug design, structure based protein modelling as well as Insilico and statistical physics methods. I would like to work on new things. Ready for take challenges in the any type of work related Data entry, Computer technologies (C, C++, MSOffice, MS Access, ORACLE, Fox Pro, Java, MySQL,Perl, PHP, HTML). I am able to handle multiple projects simultaneously with accuracy and efficiency.
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教育

Ph.D

2014 - 2016 (2 years)

M.Sc

2010 - 2012 (2 years)

B.Sc

2007 - 2010 (3 years)

出版物

Genetic Diversity Analysis of Six Major Cereal Crops Cultivars through RAPD Markers.

The aim of this study was to evaluate the genetic diversity of Indian improved six major cereal crops like rice, wheat, maize, barley, pearl millet and sorghum varieties. The study provides valuable information for cultivars fingerprinting at a molecular level and can be used to assist efficient selection in six major cereal crops breeding strategies aiming at achieving sustainability in six major cereal crops production in India.

FCDD: A Database for Fruit Crops Diseases

Fruit Crops Diseases Database (FCDD) requires a number of biotechnology and bioinformatics tools. FCDD is fully searchable and supports extensive text search. The main focus of the FCDD is on providing possible information of fruit crops diseases, which will help in discovery of potential drugs from one of the common bioresource-fruits. FCDD is freely available.

In Silico Analysis for Five Major Cereal Crops Phytocystatins.

Five major cereal crops like rice, wheat, maize, barley and sorghum are continuously threatened by a multitude of pathogens and other disorders. Cystatins offers a pivotal role in deciding the promising plant response. The use of bioinformatics tools for phylogenetic relationships of five major cereal crops phytocystatins based on amino acid sequence information was elucidated and their secondary and tertiary structures were investigated for structural comparisons.

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