Himanshu Pandya — новинки

The purpose of this study was to investigate the voluminous microarray data of different microarray chip producing companies and to build a database for cross-platform for integrating data at a single place. This is an interdisciplinary topic which help Bioinformaticians, Biologists, Biostaticists, Computer science peoples to interpret with the information of microarray chip. The database of Microarray data resources will become time reducing interface for searching the entire database to get the different information. The cross platform comparison can be performed by using the this microarray data resource.

During our entire study we have utilized the property of Eu(III) ion for luminescence as well as cyclic voltammetry study. The Eu(III) ion is utilized as model system for both the techniques because it provides very good emission spectra looking to the electron configuration of Eu(III) ion, Eu(III) ion is the one of the few lanthanide, which exited its divalent state and this divalent state found very stable because of 4f7 configuration.

Microarray is a novel technology to identify gene expression of thousands of genes simultaneously. This work is attempted to perform microarray data analyses to determine differential gene expression using the open-source R programming environment in conjunction with the open-source Bioconductor software.We describe procedures for analysis of data using box plots and recommended procedures from Affymetrix for quality control are discussed. The Robust Multichip Averaging (RMA) and MAS5 procedure was used for background correction, normalization and summarization of the AffyBatch probe-level data to obtain expression level data and to discover differentially expressed genes.. Heatmaps are used to demonstrate over and under expressed genes in conjunction with t-statistics for determining interesting genes while pFDR was performed to remove false negative. We showed, with real data, how implementation of functions in R and Bioconductor successfully identified differentially expressed genes that may play a role in obesity.

Microarray technology is a novel technique to identify the Evaluation of differentially expressed gene.This is very useful for the stastical analysis of DNA chip using different stastical software’s.This work is attempted to work on microarray analysis on Alzheimer’s disease and identify the differentially expressed gene and their reannotation using R and Biocondcutor.R language is freely available and its latest release is Biocondcutor Software. Here,R language and Biocondcutor software is used for the stastical analysis of hippocampus sample of Alzheimer’s disease.The data get normalized using RMA and GCRMA generated different Box plot, Nuse plot, RLE Plot and clustering analysis. Using Biocondcutor different stastical test is a best proof for identify the gene expression level of gene.After annotation identify the gene which were responsible for Alzheimer’s disease.The Biocondcutor and R language gives basically identify the main probe which is responsible in that sample for disease and gives the final result which caused the Alzheimer’s disease.

Cancer is a term that encompasses a complex group of more than 100 different types of diseases associated with uncontrolled cell division. Epigenetic events are alterations in gene expression without changes in DNA sequence and characteristic of heritability via cell division. Certainly, it is anticipated that aberrant changes bring about epigenetic control through chromatin modifying enzymes. This has an important bearing on future therapies for human diseases including cancer.

Breast Cancer Resistance Protein (BCRP) is a membrane-associated protein and a member of the the super family of ATP-binding cassette (ABC) transporters known to confer multidrug resistance (MDR) to a number of important anticancer agent and play an important function in governing drug absorption. This book deals about the development of homology model of BCRP and its correspondence with experimentally known topology. This study also helped to understand the protein dynamics of BCRP through coarse-grained normal mode analysis. Structural analysis of substrate specificity bestowed by specific amino acids and its interaction with various synthetic and natural compounds provided clues of developing an efficient inhibitor.

Ornamental flower industry has been fetching good monetary returns in recent years due to high demand of newer varieties. In vitro and in vivo regeneration has already changed the pattern of controlled plant growth. Researchers and commercial producers are working hard to introduce innovative approaches to maintain and fulfill this requirement. However, post harvest losses at the origin or in transit being huge, there is always a shortage of supply. This book presents two parallel research approaches for large-scale production of high quality ornamentals like Gladiolus, Chrysanthemum and Lily, to make them available regardless of season and geographic locations. Besides propagation techniques, screening of various important bioactive compounds and secondary metabolites is also discussed. Consideration is also given to the aesthetic value of these ornamentals with dehydration technology for long term preservation. Researchers and commercial growers will find this work handy and executable.