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Genetics: more books (100)

Remaking Eden: How Genetic Engineering and Cloning Will Transform the American Family (Ecco) by Lee M. Silver, 2007-08-01
Advanced Genetic Analysis: Finding Meaning in a Genome by R. Scott Hawley, Michelle Y. Walker, 2003-01
A Guide to Genetic Counseling by Wendy R. Uhlmann, Jane L. Schuette, et all 2009-08-03
To Test or Not To Test: A Guide to Genetic Screening and Risk by Doris Teichler Zallen, 2008-11-30
Medical Genetics for the Modern Clinician by Judith A. Westman, 2005-03-30
Unlocking Your Genetic History : A Step-by-Step Guide to Discovering Your Family's Medical and Genetic Heritage (National Geneological Society Guide, 6) by Thomas H. Shawker, 2004-08-11
Genetic Data Analysis 2: Methods for Discrete Population Genetic Data by Bruce S. Weir, 1996-04
Elements of Evolutionary Genetics by Brian Charlesworth, Deborah Charlesworth, 2010-02-03
A Statistical Approach to Genetic Epidemiology: Concepts and Applications, with an e-learning platform by Andreas Ziegler, Inke R. König, et all 2010-05-25
Human Molecular Genetics (3rd Edition) (Cell and Molecular Biology in Action) by Peter Sudbery, 2010-02-21
Seeds of Destruction: The Hidden Agenda of Genetic Manipulation by William F. Engdahl, 2007-11-20
Jacob's Legacy: A Genetic View of Jewish History by David B. Goldstein, 2009-05-12
Biochemistry and Genetics PreTest Self-Assessment and Review, Third Edition (PreTest Basic Science) by Golder Wilson, 2007-04-19
Essentials of Clinical Genetics in Nursing Practice by Felissa R. Lashley RNPhD ACRNFAANFACMG, 2006-12-04

lists with details

Genetic Diseases
Provides information on a number of genetic and rare diseases.
http://www.genetic-diseases.net

Extractions: @import url( http://www.genetic-diseases.net/wp-content/themes/classic/style.css ); The four types of (human) Genetic diseases are: 1) Single-gene/monogenic Genetic Diseases: In this category the starting point is a mutation/change in one gene. The next question is how a change in the sequence of a single gene can cause severe disorders. Genes code for proteins which are some of the most important tools for the living beings, and also take place in the structures of the cells. The results of a mutation that happens in a part of gene that codes for a functional part of a protein are unwelcome. 2) Multifactorial/Polygonic Genetic Diseases: The second type of human genetic diseases is caused by mutations in more than one genes. The environment combines with these mutations in order these diseases to appear. We can easily conclude that polygenic disorders are more complicated than the previous type (single gene diseases). These abnormalities are also difficult to analyze, because there are many factors that researchers should take into consideration in order to reach to some useful conclusions. Many well known chronic diseases are Multifactorial Genetic Diseases. Everybody knows Alzheimer, diabetes, obesity and arthritis. Besides many cancer types are caused by multi mutations. 3) Chromosomal Genetic Diseases: Chromosomes are big DNA molecules composed from genes. The chromosomes are located in the cell nucleus. Abnormalities in the structure, number (and not only) of the chromosomes can cause some of the most dangerous genetic disorders. This type of disorders seem to be much easier to observe because they are, sometimes, detected by examination with microscope. Down Syndrome is the most well known disease caused by chromosomal abnormalities.
Genetic-programming.com-Home-Page
A privately funded research group that does research in applying genetic programming.
http://www.genetic-programming.com/

Extractions: Immediate opening ( uupdated August July 8, 2007) for scientific research programmer at Genetic Programming Inc. Welcome to www.genetic-programming.com the home page of Genetic Programming Inc., a privately funded research group that does research in applying genetic programming) Last updated July 8, 2007 What is Genetic Programming (GP)? How Genetic Programming Works Sources of Information about the Field of Genetic Programming (GP), Genetic Algorithms (GA), and the Field of Genetic and Evolutionary Computation (GEC) Conferences about Genetic Programming (GP) and Genetic and Evolutionary Computation (GEC) ... Other Links Genetic programming (GP) is an automated method for creating a working computer program from a high-level problem statement of a problem. Genetic programming starts from a high-level statement of �what needs to be done� and automatically creates a computer program to solve the problem. There are now 36 instances where genetic programming has automatically produced a result that is competitive with human performance , including 15 instances where genetic programming has created an entity that either infringes or duplicates the functionality of a previously patented 20 th -century invention, 6 instances where genetic programming has done the same with respect to a 21
Johnkoza
Inventor of genetic programming and author of numerous published papers on genetic programming at Stanford University.
http://www.genetic-programming.com/johnkoza.html

Extractions: Home Page of John R. Koza John Koza with 1,000-Pentium parallel computer in Mountain View, California. Picture by Eric Slomanson Keynote speech at Congress On the Future of Engineering Software ( COFES ) conference in Phoenix on April 2, 2004 Most recent published article: Human-competitive results produced by genetic programming in March 2010 special 10 th Anniversary issue of Genetic Programming and Evolvable Machines ... journal Go to Biography Go to Scientific books and papers Go to Scientific research Interests Go to Courses at Stanford University Go to Recent Invited Talks and Tutorials on Genetic Programming Go to Addresses and Contact Information Go to Electoral College Go to Miscellaneous B.A., Computer Science, University of Michigan M.A. Mathematics, University of Michigan M.S., Computer Science, University of Michigan PhD., Computer Science, University of Michigan , 1972. Thesis entitled On Inducing a Non-Trivial, Parsimonious Grammar for a Given Sample of Sentence s.
Groovy Java Genetic Programming
Genetic Programming (JGProg) is an open-source pure Java implementation of a strongly-typed Genetic Programming experimentation platform.
http://jgprog.sourceforge.net/

Extractions: Groovy Java Genetic Programming Genetic Programming (JGProg) is an open-source pure Java implementation of a strongly-typed Genetic Programming experimentation platform. Three example "worlds" are provided, in which a population evolves and solves the problem. Now that's Groovy. The source code is released under the GNU General Public Licence Go to the Groovy Java main home page The project page contains links to various elements of the project: forums, mailing lists, news items, downloads, etc. There are three public forums anyone can post to and read: Open Discussion: Talk about anything, as long as it's related to JGProg or general genetic programming issues, unless the message topic would fit better in one of the other two forums. More for users of JGProg and anyone interested in genetic programming. Help: Ask (and obtain!) help in using JGProg, but not non-JGProg issues in genetic programming, which properly belongs in the Open Discussion forum. For example, a question about the best population size or crossover probability for a particular problem is not a problem in using the JGProg program, since you could use any genetic programming platform. Developers: Talk about further developing JGProg, bugs in JGProg, desired features in JGProg.
Genetic Programming
A web community and forum for genetic programming and other types of evolutionary computation.
http://www.bloomshare.com/genetic-programming/
General Reconstruction
Contains information on genetic algorithms and programming techniques. Sponsors a genetic programming contest in java.
http://evolve.bravehost.com

Extractions: var url = 'http://web.archive.org/web/20050309032403/http://evolve.bravehost.com/'; General reconstruction sorry for troubles chanson enfant gratuite et karaoke anniversary gifts when you are seperated california christmas photos kraut dame binden ... convertisseur audio gratiut moved movedthe document has movedhere
GeneticArchaeology.com - Genetic Archaeology
Genetic Archaeology is the study of genetic ancestry using modern forensic techniques to collect and blueprint ancient human and animal remains.
http://www.geneticarchaeology.com/
Genup
Free software to assist learning quantitative genetic concepts (animal breeding) for WIN.
http://www-personal.une.edu.au/~bkinghor/genup.htm

Extractions: Computer aided learning for quantitative genetics. Written by Brian Kinghorn with some contributions form Roddy Vagg, John Woolliams, Julius van der Werf, and Sandy Kinghorn, plus translators to other languages. GENUP contains a number of learning modules. Each of these is designed to help you master concepts in Quantitative Genetics and its application to Animal Breeding. These modules are largely algorithm-based rather than information-based, meaning that you are given opportunities to play with the properties of the subject rather than be given information about the subject. The program runs under Microsoft Windows 95/98/NT. Download GENUP ... (Note: These extracts are far from fully descriptive - the GENUP help file gives full descriptions) DIVERSITY: The genetic distance cluster diagram (left) is calculated from genetic marker information for a number of populations. Results for the current conservation solution are shown in the center - the solution, shown elsewhere, is the number of individuals to be chosen from each population. The graph on the right shows the domain of possible combinations of mean merit and genetic variance. Clicking on this graph (to give a green circle) causes a genetic algorithm to find the nearest solution (small white circle). PopQTL: This module draws on parameters in the core database to generate a population with overlapping generations. This foundation population is then propagated according to the chosen genetic evaluation method. A single QTL segregates, and QTL genotype can be known (or not known) if desired. This picture shows the default graphic output. Red dots are males and blue dots are females. Axes can be changed with one or two clicks, covering all four traits.
PowerMarker Homepage
Set of statistical methods for discrete genetic data analysis, designed especially for microsatellite data analysis. Includes downloadable versions for Windows.
http://statgen.ncsu.edu/powermarker/

Extractions: Home Downloads Analysis Screenshots ... Support What's new? Version 3.25 released on 2/5/2006. This is a permanent version!! Please cite the Bioinformatics paper. Choose 'How To Cite' from Help menu to see more details. Version 3.09 released on 7/14/2004. Support 120 dpi settings. Version 3.08 released on 6/14/2004. Fixed a bug in core set selection. Version 3.07 released on 3/20/2004. (1) New SNP identification tool (2) Fix several minor bugs. Version 3.03 is available for download. (1) Fix a bug in batch export. (2) New functionality for single haplotype phase assignment. (3) Allow for all-missing individuals for most analyses. PowerMarker V3.0 was officially released on January 30th, 2004. Full documentation is included. The following functions are disabled in PowerMarker: (1) Marker selection for haplotype data, genotype data and trio data (2) Population structure inference based on EM algorithm (3) Logistic regression and least angle regression for association study. The author is stilling working on the publications. The algorithms have been implemented and tested with simulated data. Please contact the author if you are interested in these algorithms.
A Multivariate Genetic Analysis Method - 'Taxonomy 3'
A package of SAS macros for target discovery, detection of subphenotype and genetic heterogeneity. Can use an unlimited numbers of markers in a single multivariate analysis.
http://taxonomy.delrieu.org

Extractions: Capabilities 'Taxonomy 3' provides a statistical framework to large scale or complex problems, and produces simple answers, visually and biologically meaningful. The method reduces the complexity and the dimensionality of the data, reveals independent sets of correlated variables and meaningful sub-groups of observations. Since a primary objective of 'Taxonomy 3' is to visualize a complex dataset, it does
World Resources Institute Genetic Diversity
Article covering variation within species, problems of genetic uniformity, and the need for genetic diversity.
http://www.wri.org/publication/content/8585
Genetically Modified Foods And Organisms --HGP Ethical, Legal, And Social Issues
Overview of genetically modified foods, crops, organisms. Pros and cons of genetic modification.
http://www.ornl.gov/sci/techresources/Human_Genome/elsi/gmfood.shtml

Extractions: Site Map Although "biotechnology" and "genetic modification" commonly are used interchangeably, GM is a special set of technologies that alter the genetic makeup of organisms such as animals, plants, or bacteria. Biotechnology, a more general term, refers to using organisms or their components, such as enzymes, to make products that include wine, cheese, beer, and yogurt. Combining genes from different organisms is known as recombinant DNA technology, and the resulting organism is said to be "genetically modified," "genetically engineered," or "transgenic." GM products (current or those in development) include medicines and vaccines, foods and food ingredients, feeds, and fibers.
Genetically Engineered Food — Global Issues
Outlines scientific and consumer concerns about genetically engineered and modified foods. Safety, food patents, Monsanto s role and media coverage are addressed.
http://www.globalissues.org/issue/188/genetically-engineered-food

Extractions: Global Issues Social, Political, Economic and Environmental Issues That Affect Us All Main menu: You are here: Home Issues Genetically Engineered Food An issue that has entered the mainstream media in a lot of countries (noticeably not really in the US) is Genetic Engineering (GE) or Genetic Modification (GM) of food. A lot of food that we eat today contains genetically modified ingredients and usually without our knowledge. Supporters of this technology maintain that it ensures and sustains food security around the world as the population increases. As time goes on, the science behind genetic engineering is no doubt improving. Biotechnology could be the wave of the future and genetically modified foods could really provide alternatives to help increase food production. However, there is a growing wave of concern from citizens, farmers and scientists who question the
Genetic Meetings
Provides a listing of various meetings categorized by organization and by date.
http://www.kumc.edu/gec/prof/meetings.html
Expired
FAQs, people, software, links, conferences, publications, interactive genetic art and music.
http://www.cs.ucl.ac.uk/research/genprog/
Teamwork In Genetic Programming
Thesis and software demonstrating teamwork in genetic programming. Simulates evolving software emulating ants and collective behavior.
http://www.lalena.com/ai/ant/
GAUL: Genetic Algorithm Utility Library
A programming library designed to aid development of applications that use genetic algorithms.
http://gaul.sourceforge.net/

Extractions: Home Docs News Resources ... Download Welcome to the GAUL home page GAUL is an open source programming library, released under the GNU General Public License. It is designed to assist in the development of code that requires evolutionary algorithms. Current Version: devel-0.1849 examples-0.1849 Distribution License: GNU General Public License Latest Changes: LatestChanges Development home: http://souceforge.net/projects/gaul On-line documentation: http://gaul.souceforge.net/documentation.html FAQ Stewart Adcock Introduction The Genetic Algorithm Utility Library (or, GAUL for short) is a flexible programming library designed to aid in the development of applications that use genetic, or evolutionary, algorithms. It provides data structures and functions for handling and manipulation of the data required for serial and parallel evolutionary algorithms. Additional stochastic algorithms are provided for comparison to the genetic algorithms. Much of the functionality is also available through a simple S-Lang interface. Darwinian, Lamarckian or Baldwinian evolutionary schemes.
Kanpur Genetic Algorithms Laboratory
Contains information about Kanpur Genetic Algorithms Laboratory and papers published by researchers here.
http://www.iitk.ac.in/kangal

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