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[
2009]
With contributions from more than 40 field specialists, Methods of Behavior Analysis in Neuroscience reflects six years of updates to its first bestselling edition and elucidates new behavioral approaches that are quickly becoming field standards. This second edition features new material on the relevance of transgenic mouse models for Alzheimer's disease, behavioral methods for assessing the cognitive impairment associated with major psychotic disorders, the revival of the scopolamine reversal model for assessing the clinical relevance of new AD drugs, and new approaches to assessing the cognitive impairment in aged mice.
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Chaos,
2011]
We investigate the adaptation and performance of modularity-based algorithms, designed in the scope of complex networks, to analyze the mesoscopic structure of correlation matrices. Using a multiresolution analysis, we are able to describe the structure of the data in terms of clusters at different topological levels. We demonstrate the applicability of our findings in two different scenarios: to analyze the neural connectivity of the nematode Caenorhabditis elegans and to automatically classify a typical benchmark of unsupervised clustering, the Iris dataset, with considerable success.
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IDrugs,
2010]
CHI''s Seventh Annual Conference on High-Content Analysis (HCA), held in San Francisco, incorporated topics covering new developments in the field of HCA, including hardware and software updates, new biological models for HCA and pathway analysis. This conference report highlights selected presentations on the use of HCA for the characterization of stem cells, cell-colony analysis, the validation of disease models and the identification of antiparasitic compounds.
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[
Methods Cell Biol,
1995]
Geneticists like to point out that the ultimate test of a proposed function for a gene and its encoded product (or products) in a living organism involves making a mutant and analyzing its phenotype. This is the goal of reverse genetics: a gene is cloned and sequenced, its transcripts and protein coding sequence are analyzed, and a function may be proposed; one must then introduce a mutation in the gene in a living organism to see what the functional consequences are. The analysis of genetic mosaics takes this philosophy a step further. In mosaics, some cells of an individual are genotypically mutant and other cells are genotypically wild type. One then asks what the phenotypic consequences are for the living organism. This is not the same as asking what cells transcribe the gene or in what cells the protein product of the gene is to be found, but rather it is asking in what cells the wild-type gene is needed for a given function...
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Science,
2009]
Network analysis has emerged as a powerful way of studying phenomena as diverse as interpersonal interaction, connections among neurons, and the structure of the Internet. Appropriate use of network analysis depends, however, on choosing the right network representation for the problem at hand.
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Genomics,
2001]
I used TBLASTn to probe DNA sequence databases with a consensus peptide sequence corresponding to the most highly conserved region of the rodent synaptotagmin (Syt) gene family, which is within the C2B domain. I found human homologues for all known rodent genes, and found six further human genomic loci which encode potential family members. I found eight potential family members in Caenorhabditis elegans, six in Drosophila melanogaster, and four in Arabidopsis thaliana. The C. elegans Syt1 homologue uniquely encodes two alternative C2B exons, one or the other of which is expressed at a time. Comparison of the genomic structures of the Syt genes makes clear the different phylogenies of the different subgroups. Knowledge of the genomic structures will aid the systematic investigation of alternative splicing in Syt genes.