"Only a man who knows what it is like to be defeated can reach down to the bottom of his soul and come up with the extra ounce of power it takes to win when the match is even"- Muhammad Ali. Such were the words of the great boxing legend. In 1984, Ali was diagnosed with Parkinson's syndrome, a disease much more common in those subjected to severe head trauma, such as boxers. Ali began showing symptoms of the disease soon after retiring from the boxing ring in 1981. But his condition was not diagnosed until three years later. By that stage he had developed tremors, his speech was slurred, and his body movements had become slow. Doctors prescribed drugs which alleviated the worst of his symptoms.Despite the disability, he remains a beloved and active public figure. In 1985, he served as a guest referee at the inaugural WrestleMania event. Such determination can help anyone to combat the disease.4846 Руб.
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.4846 Руб.
DNA microarrays are a powerful tool to investigate differential gene expression for thousands of genes simultaneously. Although DNA microarrays have been widely used to understand the critical events underlying growth, development, homeostasis, behavior and the onset of disease, the management of the resulting data has received little attention. Presently, the fluorescent dyes Cy3 and Cy5 are most often used to prepare labeled cDNA for microarray hybridizations. Raw microarray data are image files that have to be transformed into gene expression formats – a process that requires data manipulation due to systematic variations which may be attributed to differences in the physical and chemical dye characteristics. There are different approaches to analyse the large-scale gene expression data in which the essence is to identify gene clusters. This approach has allowed us to determine expression profiles of novel developmentally regulated genes. Finally we get some genes which highly coexpressed and may be involved in pathogenesis.4846 Руб.
Recently, there have been emerging demands to analyse the function of genes from the gene expression profiles. DNA microarray is one of the most powerful tools, which enables the expression profiling of thousands of genes simultaneously. It has also proven to be an extremely valuable tool to efficiently utilize the enormous amount of information provided by the completion of numerous genome projects. Data clustering analysis has been widely applied to extract information and also to identify groups of genes or samples displaying a similar expression profile. In this experiment we have used the Affymetrix microarray Technology which is also known as GeneChip microarray. By using this Technology I have written this work on rice gene expression. In my book I have tried to find out which genes are regulated by cold stress, the genes that are affected by cold stress. The method is based on a generalized linear model. Several statistical tests have been done for the analysis and simulated datasets are used to show that the method performs substantially better than other common methods in the field. We have also used Hierarchical Clustering method to get the pattern of the unknown gene.2858 Руб.
DNA microarray technology has now possible to simultaneously monitor the expression levels of thousands of genes during important biological processes and across collections of related samples. However, the large number of genes and the complexity of biological networks greatly increase the challenges of comprehending and interpreting the resulting mass of data, which often consists of different types of measurements. An important step toward addressing this challenge is the use of robust clustering techniques, which is essential in the data mining process to reveal natural structures and identify interesting patterns in the underlying data in Bioinformatics.This book greatly attracts a broad range of scientists who are interested in DNA microarray data analysis, because it provides a practical method critically necessary for gene expression data clustering and discovery of some genes responsible for cancer disease. Currently, breast cancer is the most common type of cancer and often causes death among women in the world. The presentation of this book is easy and intelligible by the beginner and help who are undertaking researcher on gene expression data analysis in Bioinformatics5386 Руб.
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.4846 Руб.
Molecular biology of the placenta is a fascinating research subject to investigate the mechanisms underlying fetal growth abnormalities and developmental disorders. Analysis of Placental Gene Expression Profile in Abnormal Fetal Growth provides a new insight into the gene dysregulation and pathway changes in the placenta of pregnancies affected by fetal growth restriction and macrosomia. This book reviews the physiology of the placenta and its divers roles in maintaining a healthy fetal development. There is a summary of the aetiology of abnormal fetal growth and its adverse effects on the future of infants. The main focus of this book is presenting the findings achieved by microarray gene expression analysis in the placentas collected from growth restricted and macrosomic newborns, introducing some candidate genes for screening purposes. In addition, molecular function of dysregulated genes and affected biological pathways have been described in detail.5001 Руб.
Parkinson's disease is a chronically progressive age-related neurodegenerative disorder. Currently effective treatment strategies are aimed at improving the motor impairment to minimize disability. However, it is important to employ strategies that provide symptomatic benefit, while delaying as much as possible the development of motor fluctuations and dyskinesias induced by dopaminergic therapy. Thus, neuroprotective therapies that aim to interfer with the ongoing process of neuronal cell death, in order to preserve the remaining neurones and stop disease progression are expected to have a major impact on the treatment of Parkinson's disease.6735 Руб.
Parkinson’s disease (PD) is a chronic neurodegenerative movement disorder affecting the (extrapyramidal) motor system, characteristically manifesting as bradykinesia, rigidity, tremor and postural instability. Although non-motor symptoms such as behavioural abnormalities, dysautonomia, sleep disturbances and sensory dysfunctions are also common and are quite disabling manifestations of the disease. PD is most commonly seen in the elderly, but is also found in the young people.Indeed, it is a multi-system disorder in which other organs are involved. This book comes to shed light on the complications of PD in general, and on the gastrointestinal complications in specific, with emphasis on the surgical interventions.4175 Руб.
Microarray Data Analysis, Next Generation Sequencing Data Analysis, R package, Statistical data analysis, proteomics data analysis, RNA-sequence data analysis, SNP’s and Haplotype mapping for genetic analysis, Copy Number Variation Detection, C, JAVA, Perl, SQL, Genome Analysis, Phylogenetic studies, Cluster analysis, Docking, BLAST, FASTA, CLUSTAL W&X, Database Management, Protein Modeling, Lead Identification & Optimization, Drug Designing.6552 Руб.
The main objective of this thesis is to further explore the role of androgen in initiation/progression of ovarian cancer and to uncover the underlying mecahnisms. Gene expression profiling by cDNA microarrays was initiated to explore the global effect of androgen on gene expression profiles of these cultures. The results demonstrate that ovarian epithelial cells respond to androgen by up-regulating hundreds of genes. The analysis of microarray data was combined with the information derived from known/predicted protein interactions in the form of networks defining the pathways of cellular functions. It was hypothesized that the androgen inhibitory effect on TGF-? inhibition in ovarian cancer may be mediated by this gene. High levels of cytoplasmic ACHE staining correlated with decreased survival, whereas nuclear BACH2 staining correlated with decreased time to disease recurrence. This finding supports a potential role for altered androgen effects in ovarian cancer initiation/progression. In addition to BACH2 and ACHE, this study highlights a set of potentially functionally related genes for further investigation in ovarian cancer.7612 Руб.
Lithium, as an element, was discovered two hundred years ago (1817), but it was not until the seminal work of the Australian physician, John Cade some 70 years ago, that lithium was seen by modern psychiatry as an effective treatment for manic-depressive illness. during the last decade many studies revealed new targets for lithium, which may explain its therapeutic mechanisms in MDI on one hand, and would hold promises for future uses of lithium on the other, here we examin a possible use of lithium in treating Parkinson's Disease.4846 Руб.
Biotechnology is a diverse, complex, and rapidly evolving field. Students and experienced researchers alike face the challenges of staying on top of developments in their field of specialty and maintaining a broader overview of the field as a whole. This latest volume of Biotechnology Annual Review comprises expert reviews on a diverse range of topics, ranging from gene expression microarray analysis to the use of ethnomedicines and ethnomedicinal phytophores to treat herpes viruses. Such a diverse range of review topics will keep biotechnologists of all levels up-to-date on the latest in the vast field of biotechnology and deepen their understanding of the many facets of the field as a whole..More than 150 figures elucidate and reinforce key points.Inclusion of reviews of such hot-topics as arginine methylation in health and disease .Wide variety of coverage keeps biotechnologists up-to-date on many facets of the field17451 Руб.
There are several measures in the rehabilitation of Parkinson's patients which bring them to the point of ambulation with mobility aids. I have made a study on this condition to further achieve independent walk in them. This book is to show the "efficiency of dual task training in patients with idiopathic Parkinson's disease" it shows improvement in step length and TUG Test. Chapter-1 deals with introduction about the disease. Chapter-2 deals with aims and hypothesis made on this study. Chapter-3 consists of the Review of Literature, sited the articles. Chapter-4 deals with protocol for the patients i.e, how they are trained. Chapter-5 shows the data analysis for the measurements of step length and TUG test. Finally bibliography gives information about the supporting references. This book may help several physiotherapy who deal with Parkinson's patients to practice dual task training. Before going through this book please note that everyone has to study well about Parkinson's disease.3550 Руб.
Now in a revised second edition, Nutrigenomics and Proteomics in Health and Disease brings together the very latest science based upon nutrigenomics and proteomics in food and health. Coverage includes many important nutraceuticals and their impact on gene interaction and health. Authored by an international team of multidisciplinary researchers, this book acquaints food and nutrition professionals with these new fields of nutrition research and conveys the state of the science to date. Thoroughly updated to reflect the most current developments in the field, the second edition includes six new chapters covering gut health and the personal microbiome; gut microbe-derived bioactive metabolites; proteomics and peptidomics in nutrition; gene selection for nutrigenomic studies; gene-nutrient network analysis, and nutrigenomics to nutritional systems biology. An additional five chapters have also been significantly remodelled. The new text includes a rethinking of in vitro and in vivo models with regard to their translatability into human phenotypes, and normative science methods and approaches have been complemented by more comprehensive systems biology-based investigations, deploying a multitude of omic platforms in an integrated fashion. Innovative tools and methods for statistical treatment and biological network analysis are also now included.16335 Руб.
Rice tungro disease (RTD) is a major constraint in production of rice (Oryza sativa L.) not only in India but in all South and Southeast Asia. Host plant resistance is the most effective and economical method for control of this virus disease. Regular research is required in search of useful genes providing resistance against various strains of virus. This has necessitated a detailed study on gene expression analysis of rice genotypes infected with rice tungro virus. One hundred and twenty rice genotypes (120) comprising of fifty one (51) rice entries of International Rice Tungro Nursery (IRTN) lines and sixty six (66) rice entries of N 22 mutants along with two resistant rice cultivar and one susceptible check were screened against RTD using viruliferous GLH vector under glasshouse conditions. Six rice cultivars T(N)1 and Tapaswini (susceptible), IR 20 and IR 67406-6-3-2-3 (moderately resistant), TKM-6 and Vikramarya (resistant) were tested against RTD on yield parameters. Further, Gene expression studies were carried out with selected genes (PBZ1, LRR, CAT and RF2a) in susceptible rice cv. T(N)1 and resistant rice cv. Nidhi by artificial inoculation of RTV using viruliferous GLH.5386 Руб.