Kiss Me Like a Stranger : My Search for Love and Art The Selfish Gene Mr. Tambourine Man : The Story of the Byrds' Gene Clark Collector's Encyclopedia of Depression Glass (Collector's Encyclopedia of Depression Glass) The Wizard (The Wizard Knight, Book 2) The God Gene : How Faith is Hardwired into our Genes The Prisoner in the Third Cell Kiss Me Like A Stranger : My Search For Love and Art [UNABRIDGED] The Creative Age : Awakening Human Potential in the Second Half of Life

• Gene Network Inference .
• Gene Expression Data.
• The traditional approach to research in Molecular Biology has been an inherently local one, examining and collecting data on a single gene, a single protein or a single reaction at a time. ...
• Can we really expect to construct a detailed biochemical model of, say, an entire yeast cell with some 6000 genes (only about 1000 of which were defined before sequencing started, and about 50% of which are clearly related to other known genes), by analyzing each gene and determining all the binding and reaction constants one by one? Likewise, from the perspective of drug target identification for human disease, we cannot realistically hope to characterize all the relevant molecular interactions one-by-one as a requirement for building a predictive disease model. ...
• Data requirements for gene network inference.
• Gene network inference using recurrent neural networks.
• Reconstructing Gene Networks from Large Scale Gene Expression Data. ...
• Gene network inference using a linear, additive regulation model. ...
• Tracing genetic information flow from gene expression to pathways and molecular networks. In DNA microarrays: The new frontier in gene discovery and gene expression analysis. ...
• Gene Expression Analysis and Genetic Network Modeling. ... , Pacific Symposium on Biocomputing '99, Tutorial session on Gene Expression and Genetic Networks. ...
• Mining the Gene Expression Matrix: Inferring gene relationships from large scale gene expression data. ...
• Exploring the Metabolic and Genetic Control of Gene Expression on a Genomic Scale (web site) .

• A family of gene prediction programs provided by Mark Borodovsky's Bioinformatics Group at the Georgia Institute of Technology, Atlanta, Georgia. ...
• Gene Prediction in Bacteria and Archaea .
• For bacterial and archaeal gene prediction, you can use the parallel combination of the GeneMark and GeneMark. ...
• Gene Prediction in Eukaryotes .
• For eukaryotic gene prediction, you can use the parallel combination of the GeneMark and GeneMark. ...
• Gene Prediction in EST and cDNA .
• Gene Prediction in Viruses .
• For viral gene prediction, or to access our virus database VIOLIN, please follow this link. ...
• hmm is predicting genes and intergenic regions in a sequence as a whole using Hidden Markov models with a hidden state network reflecting the "grammar" of gene organization. ...
• Gene Prediction Programs.

• The University of North Carolina School of Medicine created the Gene Therapy Center in 1996 with the goal of merging molecular genetics research with healthcare delivery. The Gene Therapy Center provides important resources to academic investigators through two core facilities created to support preclinical and clinical gene therapy studies. These facilities, the Vector Core and the Human Applications Laboratories, were created to ensure that investigators would have promising gene vectors available in the quality and quantities needed for preclinical or clinical studies. Research in the laboratory has centered on the molecular biology of adeno-associated virus (AAV) in order to exploit the unique features of this virus to develop an efficient viral vector system for use in human gene therapy. Continued efforts in understanding the mechanism of viral replication and integration for both wild-type and recombinant AAV are being pursued in order to create more efficient gene transfer vectors. The ultimate goal of the Gene Therapy Center is to facilitate the progression and translation of gene therapy research from the laboratory bench into Phase I clinical trials for the treatment of human disease. Click here to learn more about our gene therapy research. ...
• July 2004 - In memory of Jerri Coleman, the Gene Therapy Center has established a memorial fund for diabetes research in her name. ...
• They found that viral capsids may influence gene expression independent from their packaged DNA. AAV and adenovirus were compared using DNA microarrays for their effects on cellular gene expression. AAV was found to have minimal impact on gene expression in the cell, while adenovirus activated the expression of genes associated with toxicity and the immune response. ...
• Role of Viral Vectors and Virion Shells on Cellular Gene Expression. ...
• Fall 2003 - The UNC Gene Therapy Center was featured in Endeavors Magazine for our work with Canavan Disease. ...
• Differential myocardial gene delivery by recombinant serotype-specific adeno-associated viral vectors. ...
• Development and characterization of novel empty adenovirus capsids and their impact on cellular gene expression. ...

• Reporter gene.
• In molecular biology, a reporter gene (often simply reporter) is a gene that researchers attach to another they wish to study in cell culture, animals or plants. Many of the techniques used for engineering a foreign or modifed gene into an organism work only in a very small percentage of individuals. Researchers use a reporter to easily identify those that have taken up the gene, or which have incorporated it in the desired way into their chromosomes. A common reporter is the gene that encodes jellyfish green fluorescent protein, which causes cells that express it to glow green under UV light.
• Reporter genes are often placed downstream of the promoter region and in the proximity of the gene of interest to ensure that they are expressed together and not separated by crossover events.

• 3 commercial package and  PubGene OnLine for up-to-date gene data, protein and mutation data, import and export options, clustering methods, disease, process, and function associations and advanced graphics  .
• Gene Name Search.
• PubGene™ Gene Database and Tools.
• Analyze gene expression data with literature network information.
• Browse literature or sequence neighbors of a given gene.
• Gene Name Search.
• Find PubGene gene symbols in the PubGene nomenclature database.
• Look up gene symbols in batch from file by clone (sequence) ID.

• Knowledge-based Analysis of Microarray Gene Expression Data Using Support Vector Machines.
• ABSTRACT: We introduce a new method of functionally classifying genes using gene expression data from DNA microarray hybridization experiments. ... SVMs are considered a supervised computer learning method because they exploit prior knowledge of gene function to identify unknown genes of similar function from expression data. ... SVMs have many mathematical features that make them attractive for gene expression analysis, including their flexibility in choosing a similarity function, sparseness of solution when dealing with large data sets, the ability to handle large feature spaces, and the ability to identify outliers. ...
• Description and links to the gene expression data used in these experiments .
• Detailed tables of SVM function gene classification errors for each of the five splits (a, b, c, d, e) and four SVM methods on the following MIPS classes .

• Anatomy of a Comparative Gene Expression Study.
• DNA microarrays are perfectly suited for comparing gene expression in different populations of cells. ...
• The goal of comparative cDNA hybridization is to compare gene transcription in two or more different kinds of cells. ...
• Regulatory Gene Defects in Cancer.
• cystic fibrosis) in which a single defective gene is always responsible, cancers which appear clinically similar can be genetically heterogeneous. For example, prostate cancer (prostatic adenocarcinoma) may be caused by several different, independent regulatory gene defects even in a single patient. ...
• In this way, the experimenter can watch as the gene transcription patterns change from the old to the new steady state. ...
• These activities require quite different gene products, such as DNA polymerases for genome replication or microtubule spindle proteins for mitosis. A cell's genes encode the "programs" for these activities, and gene transcription is required to execute those programs. ...
• The transcription level of a gene is taken to be the amount of its corresponding mRNA present in the cell. ...
• For organisms whose genomes have been completely sequenced, including several bacteria and the the yeast Saccharomyces cerevisciae, it is possible to array genomic DNA from every known gene or suspected open reading frame (ORF) in the organism. Each gene or ORF is amplified from total genomic DNA by PCR, producing enough DNA to make unlimited numbers of arrays. ...
• While neither of these methods will produce DNA's for every human gene, both can yield enough different expressed sequences to make substantial arrays. ...

• Large-Scale Gene Expression and Microarray Links and Resources .
• This site is a collection of web resources and pointers to information on large-scale gene expression studies, and especially microarray technologies. ... I would be interested especially in further links to public domain data sets from large-scale gene expression studies. ...
• Alvis Brazma's list of microarray based gene expression measurements .
• Cancer: Gene Expression in Diagnosis - From Nature 403:491-492 (2000). ...
• Bioinformatics Institute Plans Public Database for Gene Expression Data - From Nature 398:646 (1999). ...
• Do-It-Yourself Gene Watching - From Science 286:444-447 (1999). ...
• *Gene Chip Breakthrough - From Fortune On-line. ...
• Gene Genie - From RedHerring On-Line. ...
• Comparing the gene expression "fingerprints" of a normal versus a cancer cell will highlight genes that by their suspicious absence or presence deserve further scientific scrutiny to determine whether such suspects play a role in cancer, or can be exploited in a test for early detection. ...
• The '15K' dataset is comprised of 15,289 UniGene clusters, each of which represents a unique human gene. The 15K sequences represent a collection of "potentially interesting" genes with which to test large-scale, high-throughput gene expression technologies. Includes full text of Nature Gennetics article (Nature Genetics 20:19-23) on 'Data Management and Analysis for Gene Expression'. ...
• It is the mission of molecular physiology to measure the expression of genes, the fundamental variable in the network, and to determine the rules or functions governing gene interactions. Many papers and presentations are available at this site, plus data set recording the gene expression matrix of rat cervical spinal cord development using 112 genes covering major receptor and signaling gene families at 9 time points in embryonic and postnatal development. ...
• They have used DNA microarrays to show how MAP kinase signaling regulates cell differnetiation by inducing a new program of gene expression. ...

• Gene Identification.
• These are a collection of gene identification utility sites. ...
• Ab Initio gene prediction.
• GENSCAN - predict complete gene structures .
• Genie: A Gene Finder Based on Generalized Hidden Markov Models .
• MZEF Gene Finder .
• AUGUSTUS - a web server for gene finding in eukaryotes .
• BCM Gene Finder .
• Webgene - Tools for prediction and analysis of protein-coding gene structure .
• Generation - Microbial Gene Prediction System .
• AGenDA - Alignment-based Gene Detection Algorithm .
• MIRAGE (Molecular Informatics Resource for the Analysis of Gene Expression) .
• Gene Express - analysis of genomic regulatory sequences .
• If some features of a sequence are known, such as hits to ESTs, proteins, or repeat elements, these regions can be locked as coding or non-coding and then the program will find the best gene structure under these constraints. ...
• GENSCAN - predict complete gene structures .
• GENSCAN is a program designed to predict complete gene structures, including exons, introns, promoter and poly-adenylation signals, in genomic sequences. It differs from the majority of existing gene finding algorithms in that it allows for partial genes as well as complete genes and for the occurrence of multiple genes in a single sequence, on either or both DNA strands. The program is based on a probabilistic model of gene structure/compositional properties and does not make use of protein sequence homology information. ...

• Control of Gene Expression in Prokaryotes .
• Control of Gene Expression in Eukaryotes .
• The controls that act on gene expression (i. ... , the ability of a gene to produce a biologically active protein) are much more complex in eukaryotes than in prokaryotes. ... Whereas, in prokaryotes, control of transcriptional initiation is the major point of regulation, in eukaryotes the regulation of gene expression is controlled nearly equivalently from many different points. ...
• back to the top Gene Control in Prokaryotes .
• In bacteria, genes are clustered into operons: gene clusters that encode the proteins necessary to perform coordinated function, such as biosynthesis of a given amino acid. ... In bacteria, control of the rate of transcriptional initiation is the predominant site for control of gene expression. ... One mode of regulation is exerted upon operons that produce gene products necessary for the utilization of energy; these are catabolite-regulated operons. The other mode regulates operons that produce gene products necessary for the synthesis of small biomolecules such as amino acids. ...
• The lac operon (see diagram below) consists of one regulatory gene (the i gene) and three structural genes (z, y, and a). The i gene codes for the repressor of the lac operon. The z gene codes for b-galactosidase (b-gal), which is primarily responsible for the hydrolysis of the disaccharide, lactose into its monomeric units, galactose and glucose. The y gene codes for permease, which increases permeability of the cell to b-galactosides. The a gene encodes a transacetylase. ...
• The repressor of the operon is synthesized from the i gene. ...

• Please see our Notes Regarding Gene Therapy Product Candidates, Forward-Looking Statements, and Website Usage; and our Privacy Policy.

• Microbial Gene Prediction System .
• Generation and the GrailEXP modules that perform the gene predictions are provided to Oak Ridge courtesy of the Genome Informatics Corporation (Genomix). ...

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