Yeast Genetic Networks PDF Download
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Author | : Attila Becskei |
Publisher | : Springer |
Total Pages | : 358 |
Release | : 2011-08-06 |
Genre | : |
ISBN | : 9781617790874 |
Download Yeast Genetic Networks Book in PDF, ePub and Kindle
Yeast Genetic Networks presents an analysis of small-scale gene networks in yeast. The text discusses different methods to analyze gene expression quantitatively, and describes a collection of mathematical and computational tools.
Author | : Trey Ideker |
Publisher | : |
Total Pages | : 156 |
Release | : 2001 |
Genre | : |
ISBN | : |
Download Validation and Refinement of Genetic Networks in Yeast Book in PDF, ePub and Kindle
Author | : Jeffrey S. Smith |
Publisher | : Humana |
Total Pages | : 0 |
Release | : 2016-09-17 |
Genre | : Science |
ISBN | : 9781493951826 |
Download Yeast Genetics Book in PDF, ePub and Kindle
Yeast Genetics: Methods and Protocols is a collection of methods to best study and manipulate Saccharomyces cerevisiae, a truly genetic powerhouse. The simple nature of a single cell eukaryotic organism, the relative ease of manipulating its genome and the ability to interchangeably exist in both haploid and diploid states have always made it an attractive model organism. Genes can be deleted, mutated, engineered and tagged at will. Saccharomyces cerevisiae has played a major role in the elucidation of multiple conserved cellular processes including MAP kinase signaling, splicing, transcription and many others. Written in the successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols and notes on troubleshooting and avoiding known pitfalls. Authoritative and easily accessible, Yeast Genetics: Methods and Protocols will provide a balanced blend of classic and more modern genetic methods relevant to a wide range of research areas and should be widely used as a reference in yeast labs.
Author | : Hiten D. Madhani |
Publisher | : CSHL Press |
Total Pages | : 124 |
Release | : 2007 |
Genre | : Biological models |
ISBN | : 0879697385 |
Download From a to [alpha] Book in PDF, ePub and Kindle
From a to&alphais a short supplemental textbook that uses control of yeast mating type as a model for many aspects of cell determination in general. Topics covered include gene silencing; genetic recombination; differentiation; combinatorial gene regulation; mRNA transport to establish asymmetric cell division; signal transduction; evolution of genetic networks; and various aspects of cell biology, including action of cytoskeleton and bud site selection. The book includes a foreword by Mark Ptashne, author of A Genetic Switch.
Author | : Paul L. Bartel |
Publisher | : Oxford University Press, USA |
Total Pages | : 362 |
Release | : 1997 |
Genre | : Carrier proteins |
ISBN | : 9780195109382 |
Download The Yeast Two-hybrid System Book in PDF, ePub and Kindle
This volume, part of the Advances in Molecular Biology series, presents work by pioneers in the field and is the first publication devoted solely to the yeast two-hybrid system. It includes detailed protocols, practical advice on troubleshooting, and suggestions for future development. In addition, it illustrates how to construct an activation domain hybrid library, how to identify mutations that disrupt an interaction, and how to use the system in mammalian cells. Many of the contributors have developed new applications and variations of the technique.
Author | : Jeremy Roop Roop |
Publisher | : |
Total Pages | : 120 |
Release | : 2016 |
Genre | : |
ISBN | : |
Download Genetic Determinants of Phenotypic Evolution in Saccharomyces Yeast Book in PDF, ePub and Kindle
Years of trait mapping studies have uncovered the genetic determinants underlying phenotypic evolution over both short and long timescales in a variety of organisms. A more general understanding of the mechanisms through which evolution produces phenotypic novelty, however, still remains out of reach. Many outstanding questions remain, among them how coding sequence divergence and gene expression divergence respectively contribute to trait evolution, as well as what role rare and large effect genetic variants play in the genetic networks underlying evolving phenotypes. Using Saccharomyces yeast as a genetically tractable model system in which to probe these questions, we identify and dissect several examples of trait divergence within and between yeast species. We first investigate an instance of intraspecific variation among yeasts isolated from a single population, finding that large effect rare variants at hypermutable loci are drivers of many common morphological and growth phenotypes. Next, in a comparison of both recently-diverged and long-diverged species, we investigate the role that gene expression variation plays in phenotypic evolution. We find evidence in multiple gene networks for complex and coherent regulatory evolution, and in one instance we succeed in identifying the loci that effect this change, as well as several phenotypic novelties they produce. Collectively, these investigations will contribute to the growing body of literature that describe the genetic mechanisms that underlie phenotypic change and seek, eventually, to achieve a greater understanding of basic evolutionary principles.
Author | : Anastasija Baryshnikova |
Publisher | : |
Total Pages | : |
Release | : 2013 |
Genre | : |
ISBN | : |
Download Mapping Genetic Interaction Networks in Yeast Book in PDF, ePub and Kindle
Author | : J.F.T. Spencer |
Publisher | : Springer |
Total Pages | : 562 |
Release | : 1983-08-23 |
Genre | : Science |
ISBN | : |
Download Yeast Genetics Book in PDF, ePub and Kindle
With contributions by numerous experts
Author | : Philip Meneely |
Publisher | : Oxford University Press, USA |
Total Pages | : 491 |
Release | : 2020-02-11 |
Genre | : Eukaryotic cells |
ISBN | : 0198809905 |
Download Genetic Analysis Book in PDF, ePub and Kindle
How do we know what role a particular gene has? How do some genes control the expression of others? How do genes interact to form gene networks? With its unique integration of genetics and molecular biology, Genetic Analysis probes fascinating questions such as these, detailing how our understanding of key genetic phenomena can be used to understand biological systems. Opening with a brief overview of key genetic principles, model organisms, and epigenetics, the book goes on to explore the use of gene mutations and the analysis of gene expression and activity. A discussion of the interactions of genes during suppression, synthetic enhancement, and epistasis follows, which is then expanded into a consideration of genetic networks and personal genomics. Drawing on the latest experimental tools, including CRISPR-Cas9 genome editing, microarrays, RNAi screens, and bioinformatics approaches, Genetic Analysis provides a state-of-the-art review of the field, but in a truly student-friendly manner. It uses extended case studies and text boxes to augment the narrative, taking the reader right to the forefront of contemporary research, without losing its clarity of explanation and insight. We are in an age where, despite knowing so much about biological systems, we are just beginning to realise how much more there is still to understand. Genetic Analysis is the ideal guide to how we can use the awesome power of molecular genetics to further our understanding.
Author | : Daniel K. Jedrysiak |
Publisher | : |
Total Pages | : |
Release | : 2013 |
Genre | : Gene regulatory networks |
ISBN | : |
Download Construction and Characterization of Gene Regulatory Networks in Yeast Book in PDF, ePub and Kindle
Two major roadblocks in synthetic biology are the difficulties associated with the physical assembly of gene regulatory networks (GRNs) and the lack of characterized biological parts. In this work we aimed to address both of these issues. We developed a novel method for the assembly of GRNs called Brick- Mason assembly. We have shown that the method can assemble a 6 part network in a single day and provides significant advancements over traditional cloning methods. We used BrickMason to assemble GRNs that would allow us to compare natural yeast mechanisms of repression to the steric hindrance based mechanisms that are commonly used in synthetic GRNs in yeast. Our results show that the two mechansisms of repression are not equivalent. This finding opens possibilities for using a new class of repressor in a synthetic context in yeast.