Gene discovery applications

Ebook "Alien introgression in wheat: Cytogenetics, molecular biology, and genomics" provides an overview of the latest advancements in the field of alien introgression in wheat. The discovery and wide application of molecular genetic techniques including molecular markers, in situ hybridization, and genomics has led to a surge in interspecific and intergeneric hybridization in recent decades. The work begins with the taxonomy of cereals, especially of those species which are potential gene sources for wheat improvement.

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Ebook "Disease gene identification: Methods and protocols (Second edition)" presents detailed laboratory procedures in an easy to follow format that can be carried out with success by investigators lacking previous exposure to a specific research method. Chapter guide readers through the application of molecular approaches to disease gene identification and overviews, and case studies are also presented.

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Hypertension is a complex trait that often co-occurs with other conditions such as obesity and is affected by genetic and environmental factors. Aggregate indices such as principal components among these variables and their responses to environmental interventions may represent novel information that is potentially useful for genetic studies.

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Physical molecular interactions are the basis of intracellular signaling and gene regulatory networks, and comprehensive, accessible databases are needed for their discovery. Highly correlated transcripts may reflect important functional associations, but identification of such associations from primary data are cumbersome.

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The assembly and annotation of a genome is a valuable resource for a species, with applications ranging from conservation genomics to gene discovery. Genomic resource development is especially important for species in culture, such as the California Yellowtail (Seriola dorsalis), the likely candidate for the establishment of commercial offshore aquaculture production in southern California.

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Gene expression profiling technologies have gradually become a community standard tool for clinical applications. For example, gene expression data has been analyzed to reveal novel disease subtypes (class discovery) and assign particular samples to well-defined classes (class prediction).

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Small peptides encoded as one- or two-exon genes in plants have recently been shown to affect multiple aspects of plant development, reproduction and defense responses. However, popular similarity search tools and gene prediction techniques generally fail to identify most members belonging to this class of genes.

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In complex large-scale experiments, in addition to simultaneously considering a large number of features, multiple hypotheses are often being tested for each feature. This leads to a problem of multi-dimensional multiple testing.

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Existing de novo software platforms have largely overlooked a valuable resource, the expertise of the intended biologist users. Typical data representations such as long gene lists, or highly dense and overlapping transcription factor networks often hinder biologists from relating these results to their expertise.

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Binding of transcription factors to transcription factor binding sites (TFBSs) is key to the mediation of transcriptional regulation. Information on experimentally validated functional TFBSs is limited and consequently there is a need for accurate prediction of TFBSs for gene annotation and in applications such as evaluating the effects of single nucleotide variations in causing disease.

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Although omic-based discovery approaches can provide powerful tools for biomarker identification, several reservations have been raised regarding the clinical applicability of gene expression studies, such as their prohibitive cost.

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This low rate of improvement has discouraged implementation of selection schemes for indigenous tropical breeds, since the overall increase in production attainable by selection in cows yielding 500–1000 kg is not of any great magnitude. It should, however, be recalled that even European breeds were as unproductive as the tropical breeds before the application of selection programs and it is the application of planned selection programs that has brought the advances that we see today.

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Event detection is one of the required services in sensor network applications such as environmental monitoring and object tracking. Composite event detection faces several challenges.The first challenge is uncertainty caused by variety of factors, while the second one is heterogeneity of sensor nodes in sensing capabilities. Finally, distributed detection,which is vital to facilitate uncovering composite events in large scale sensor networks, is challenging.

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For retailers, success is easy to measure: it’s the ringing of the cash register. a state solar program’s marketing activities, to be effective, also must lead to an action: an application for a solar program’s financial incentive to purchase and install a solar energy system. While state solar programs are not directly “selling solar installations” to customers, nevertheless, they measure success in the form of megawatts of solar installed. therefore, the state mar- keting approaches and activities must lead the customer to the solar sale.

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Note, however, that the securities laws of applicable non-U.S. jurisdictions, which are beyond the scope of this article, must be complied with. Although Regulation S provides a complex hierarchy of offering types and the corresponding requirements for each, the basic principle is that there must be no “directed selling efforts” in (toward) the United States.

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The third edition of Principles of Tissue Engineering attempts to incorporate the latest advances in the biology and design of tissues and organs and simultaneously to connect the basic sciences — including new discoveries in the field of stem cells — with the potential application of tissue engineering to diseases affecting specific organ systems.

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