Numerical Sequences
Mostrando 25-36 de 59 artigos, teses e dissertações.
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25. Genealogical Structure among Alleles Regulating Self-Incompatibility in Natural Populations of Flowering Plants
A method is proposed for characterizing the structure of genealogies among alleles that regulate selfincompatibility in flowering plants. Expected distributions of ratios of divergence times among alleles, scaled by functions of allele number, were generated by numerical simulation. These distributions appeared relatively insensitive to the particular parame
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26. Ability of Lysozyme and 2-Deoxyglucose To Differentiate Human and Bovine Streptococcus bovis Strains
Human and bovine Streptococcus bovis strains had the same 16S ribosomal DNA restriction fragment length polymorphism and often had the same patterns of starch, mannitol, lactose, and raffinose utilization. PCRs of BOX sequences differed, but numerical analyses indicated that some human strains clustered with bovine strains. However, human and bovine strains
American Society for Microbiology.
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27. Physiological and biochemical characterization of Trichoderma harzianum, a biological control agent against soilborne fungal plant pathogens.
Monoconidial cultures of 15 isolates of Trichoderma harzianum were characterized on the basis of 82 morphological, physiological, and biochemical features and 99 isoenzyme bands from seven enzyme systems. The results were subjected to numerical analysis which revealed four distinct groups. Representative sequences of the internal transcribed spacer 1 (ITS 1)
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28. Complexity: an internet resource for analysis of DNA sequence complexity
The search for DNA regions with low complexity is one of the pivotal tasks of modern structural analysis of complete genomes. The low complexity may be preconditioned by strong inequality in nucleotide content (biased composition), by tandem or dispersed repeats or by palindrome-hairpin structures, as well as by a combination of all these factors. Several nu
Oxford University Press.
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29. Prediction and statistics of pseudoknots in RNA structures using exactly clustered stochastic simulations
Ab initio RNA secondary structure predictions have long dismissed helices interior to loops, so-called pseudoknots, despite their structural importance. Here we report that many pseudoknots can be predicted through long-time-scale RNA-folding simulations, which follow the stochastic closing and opening of individual RNA helices. The numerical efficacy of the
National Academy of Sciences.
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30. Slip complexity in earthquake fault models.
We summarize studies of earthquake fault models that give rise to slip complexities like those in natural earthquakes. For models of smooth faults between elastically deformable continua, it is critical that the friction laws involve a characteristic distance for slip weakening or evolution of surface state. That results in a finite nucleation size, or coher
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31. Identification of environmental Vibrio vulnificus isolates with a DNA probe for the cytotoxin-hemolysin gene.
We screened 44 lactose-positive Vibrio strains isolated from the marine environment for homology with a 3.2-kilobase DNA fragment encoding the Vibrio vulnificus cytotoxin-hemolysin gene. All 29 marine isolates identified as V. vulnificus on the basis of numerical taxonomy and DNA-DNA hybridization studies hybridized with the cytotoxin gene probe, as did all
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32. Rapid detection of human chromosome 21 aberrations by in situ hybridization.
Plasmid clones containing up to 94 kilobases of single-copy DNA from band q22.3 of chromosome 21 and a complete pool of insert DNA from a chromosome 21 recombinant library have been used to rapidly detect numerical and structural aberrations of chromosome 21 by in situ hybridization in both metaphase and interphase cells. A trisomic karyotype, diagnostic of
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33. Sequential state generation by model neural networks.
Sequential patterns of neural output activity form the basis of many biological processes, such as the cyclic pattern of outputs that control locomotion. I show how such sequences can be generated by a class of model neural networks that make defined sets of transitions between selected memory states. Sequence-generating networks depend upon the interplay be
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34. The hydrophobic moment detects periodicity in protein hydrophobicity.
Periodicities in the polar/apolar character of the amino acid sequence of a protein can be examined by assigning to each residue a numerical hydrophobicity and searching for periodicity in the resulting one-dimensional function. The strength of each periodic component is the quantity that has been termed the hydrophobic moment. When proteins of known three-d
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35. Methods for assessing the statistical significance of molecular sequence features by using general scoring schemes.
An unusual pattern in a nucleic acid or protein sequence or a region of strong similarity shared by two or more sequences may have biological significance. It is therefore desirable to know whether such a pattern can have arisen simply by chance. To identify interesting sequence patterns, appropriate scoring values can be assigned to the individual residues
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36. Kinematics and thermodynamics of a folding heteropolymer.
In order to elucidate the folding dynamics of protein, we have carried out numerical simulations of a heteropolymer model of self-interacting random chains. We find that folding propensity depends strongly on sequence and that both folding and nonfolding sequences exist. Furthermore we show that folding is a two-step process: the transition from coil state t