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Cell & chromosome
ISSN: 14759268 Publisher: London


Periodical
Case reports in genetics
ISSN: 20906544 20906552 Year: 2011 Publisher: New York, NY Hindawi Pub. Corp

Genetic engineering : principles and methods
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ISBN: 0387338403 9786610817047 1280817046 0387345043 Year: 2007 Publisher: New York, N.Y. : Springer,

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Genetic Engineering: Principles & Methods Jane K. Setlow, PhD Brookhaven National Laboratory, Upton, NY, USA About the Series: Genetic Engineering: Principles and Methods presents state-of-the-art discussions in modern genetics and genetic engineering. Recent volumes have covered gene therapy research, genetic mapping, plant science and technology, transport protein biochemistry, and viral vectors in gene therapy, among many other topics. Volume Key Features: Genetic Engineering: Principles and Methods, Volume 28 contains discussions of contemporary and relevant topics in genetics, including: Regulation of Plant Intracellular Communication Via Plasmodesmata Root-knot and Cyst Nematode Parasitism Genes: The Molecular Basis of Plant Parasitism Mutagenesis of Human p53 Tumor Supressor Gene Sequences in Embryonic Fibroblasts of Genetically Engineered Mice Salicylic Acid, Jasmonic Acid and Ethylene-Mediated Regulation of Plant Defense Signaling Proximity Ligation: A Specific and Versatile Tool for the Proteomic Era Protein Overexpression in Mammilian Cell Lines A High-Throughput Approach to Protein Structure Analysis New Mass-Spectrometry-Based Strategies for Lipids Paired-End Genomic Signature Tags: A Method for the Functional Analysis of Genomes and Epigenomes All chapter titles are original content by the authors This principles and methods approach to genetics and genetic engineering is essential reading for all academics, bench scientists, and industry professionals wishing to take advantage of the latest and greatest in this continuously emerging field. About the Editor: Jane K. Setlow, PhD. has championed the field of genetics for over 30 years, agreeing to edit Genetic Engineering: Principles & Methods since its inception in 1979. An internationally recognized scientist with numerous publications, Dr. Setlow is the former Chairperson of the NIH Recombinant DNA Molecule Advisory Committee (RAC). Her lab can found at Brookhaven National Laboratory, Upton, New York.

The Moral, Social, and Commercial Imperatives of Genetic Testing and Screening : The Australian Case
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ISBN: 1280935669 9786610935666 1402046197 1402046189 9048171547 Year: 2006 Volume: v. 30 Publisher: Dordrecht : Springer Netherlands : Imprint: Springer,

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This is a dynamic book that successfully combines global and local thinking with regard to an emerging technology that will contribute to the expansion of proteomics and pharmacogenomics, the science of tailored healthcare and treatments. Genetic testing and screening will change the way people understand health, diagnostic knowledge, illness but also crime, databases and private information, paternity, and self-knowledge. In addition to giving individuals the opportunity to think differently about their well-being, it installs a new taxonomy in terms of illness, because its probabilistic effects will introduce a new narrative in the health discourse of 21st century society. While in the past people could be classified as being healthy or sick, now, through genetic testing and screening, adults can be classified as being healthy, predisposed to an illness, probably at risk, at risk, or carriers of certain risks. The effects of this taxonomy do not remain confined to the individual who is tested but extends to an entire family, as genetic knowledge is family knowledge. But the technology of genetic testing and screening installs a second dramatic register in the prenatal phase when cells and embryos are tested and subsequently altered in order to hit targets of perfection. However, this technology can also be seen as a strategy for the acquisition of new knowledge about oneself, as it instigates a different attitude towards ourselves in a scenario in which the notion of life as a singular noun is seriously questioned by cultural practices that make it necessary to speak of forms of life. The complexity of the Self resulting from this epistemological shift evoke the ancient Greco-roman practices of the care of the self leading to self-knowledge. Genetic testing and screening could therefore be understood as a form of self-quest, and attempt to discover what we are beyond our wishes and desires - beyond what we would like to be.


Book
Introduction to Computational Biology : An Evolutionary Approach
Authors: ---
ISBN: 3764373873 Year: 2006 Publisher: Basel : Birkhäuser Basel,

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Molecular biology has changed dramatically over the past two decades. Until the early 1990s genes were studied one at a time by small teams of researchers; today entire genomes are sequenced by internationally collaborating laboratories. In the bygone gene-centered era the accumulation of data was the rate-limiting step in research. Now that step is often data interpretation. This is increasingly dependent on computational methods and as a consequence, computational biology has emerged in the past decade as a new subdiscipline of biology. This introduction to computational biology is centered on the analysis of molecular sequence data. There are two closely connected aspects to biological sequences: (i) their relative position in the space of all other sequences, and (ii) their movement through this sequence space in evolutionary time. Accordingly, the first part of the book deals with classical methods of sequence analysis: pairwise alignment, exact string matching, multiple alignment, and hidden Markov models. In the second part evolutionary time takes center stage and phylogenetic reconstruction, the analysis of sequence variation, and the dynamics of genes in populations are explained in detail. In addition, the book contains a computer program with a graphical user interface that allows the reader to experiment with a number of key concepts developed by the authors. Introduction to Computational Biology is intended for students enrolled in courses in computational biology or bioinformatics as well as for molecular biologists, mathematicians, and computer scientists. Bernhard Haubold is associate professor at the University of Applied Sciences, Weihenstephan, Germany. Thomas Wiehe is associate professor at the University of Cologne, Germany.

Genetic Engineering : Principles and Methods
Authors: ---
ISBN: 0306401541 0306404478 0306407299 030641113X 0306413825 0306417103 9780306466458 0306466457 9780306475726 9780387258553 0387258558 9780387258560 9780387338408 0387338403 9780387345048 9786610200603 128020060X 0306475723 148997363X 9786610608317 1280608315 0387258566 9786610817047 1280817046 0387345043 1468447955 1468447939 1461570743 1461570727 1461570778 1461570751 1461570808 1461570786 1468445588 1468445561 Year: 1983 Publisher: London New York Plenum Press

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Genetic Engineering: Principles and Methods presents state-of-the-art discussions in modern genetics and genetic engineering. Recent volumes have covered gene therapy research, genetic mapping, plant science and technology, transport protein biochemistry, and viral vectors in gene therapy, among many other topics. Volume Key Features: Genetic Engineering: Principles and Methods, Volume 27 contains discussions of contemporary and relevant topics in genetics, including: Identification and Analysis of Micrornas Dormancy and the Cell Cycle Long distance peptide and metal transport in plants Signaling in plant response to temperature and water stresses Nutrient transport and metabolism in plants Salt Stress Signaling and Mechanisms of Plant Salt Tolerance Gene cloning and expression Assisted folding and assembly of proteins This principles and methods approach to genetics and genetic engineering is essential reading for all academics, bench scientists, and industry professionals wishing to take advantage of the latest and greatest in this continuously emerging field. Jane K. Setlow, PhD. has championed the field of genetics for over 30 years, agreeing to edit Genetic Engineering: Principles & Methods since its inception in 1979. An internationally recognized scientist with numerous publications, Dr. Setlow is the former Chairperson of the NIH Recombinant DNA Molecule Advisory Committee (RAC). Her lab can found at Brookhaven National Laboratory, Upton, New York.


Book
Statistical Genetics of Quantitative Traits : Linkage, Maps and QTL
Authors: --- ---
ISBN: 128095681X 9786610956814 038768154X Year: 2007 Publisher: New York, NY : Springer New York : Imprint: Springer,

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The book introduces the basic concepts and methods that are useful in the statistical analysis and modeling of DNA-based marker and phenotypic data that arise in agriculture, forrestry, experimental biology, and other fields. It concentrates on the linkage analysis of markers, map construction and quantitative trait locus (QTL) mapping and assumes a background in regression analysis and maximum likelihood approaches. The strengths of this book lie in the construction of general models and algorithms for linkage analysis and QTL mapping in any kind of crossed pedigrees initiated with inbred lines of crops and plant and animal model systems or outbred lines in forest trees and wildlife species. The book includes a detailed description of each approach and the step-by-step demonstration of live-example analyses designed to explain the utilization and usefulness of statistical methods. The book also includes exercise sets and computer codes for all the analyses used. This book can serve as a textbook for graduates and senior undergraduates in genetics, agronomy, forest biology, plant breeding and animal sciences. It will also be useful to researchers and other professionals in the areas of statistics, biology and agriculture. Rongling Wu is Associate Professor of Statistics at the University of Florida, Gainesville. He currently serves as Associate Editor for six genetics and bioinformatics journals. Chang-Xing Ma is Assistant Professor of Biostatistics at the State University of New York at Buffalo. George Casella is Distinguished Professor of Statistics and Distinguished Member of the Genetics Institute at the Univesity of Florida, Gainesville. He is a fellow of the American Statistical Association and the Institute of Mathematical Sciences, and the author of four other statistics books.

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