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  • PhyRevE,98, Zebende
    Instituto de Física Universidade Federal Fluminense Avenida Litorânea s n 24210 340 Niterói Rio de Janeiro Brazil Physical Review E 57 3 3311 3314 March 1998 Abstract We find that successive versions of the files stored on a personal computer diskette mimic the evolution mechanism claimed to be responsible for the long range correlations observed in DNA sequences Starting from uncorrelated random files long range correlations are gradually introduced by

    Original URL path: http://linkage.rockefeller.edu/dnacorr/l-pre98-z.html (2012-11-26)
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  • BullMathBiol,97,Almirantis
    5 975 992 1997 Abstract A method allowing to measure the inhomogeneous distribution of purines pyrimidines in nucleotide sequences is developed We show that this measure relates to the coding or non coding character of the considered sequence Coding sequences present a near to the random Pu or Py distribution This property is shared by both protein coding DNA and functional RNA coding DNA Non coding sequences present a highly

    Original URL path: http://linkage.rockefeller.edu/dnacorr/l-bmb97-a.html (2012-11-26)
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  • JMolEvol,97,Bernardi
    Abstract The vertebrate genome underwent two major compositional transitions between therapsids and mammals and between dinosaurs and birds These transitions concerned a sizable part roughly one third of the genome the gene richest part of it and consisted in an increase in GC levels GC is the molar fraction of guanine cytosine in DNA which affected both coding sequences especially third codon positions and noncoding sequences These major transitions were

    Original URL path: http://linkage.rockefeller.edu/dnacorr/l-jme97-b.html (2012-11-26)
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  • JMathBio,97,Coward
    Mathematical Biology 36 1 64 70 1997 Abstract Two methods for defining Fourier power spectra for DNA sequences or other biological sequences are compared The first method uses indicator sequences for each letter The second method by Silverman and Linsker assigns to each letter a vertex of a regular tetrahedron in space and this can be generalized to any dimension While giving different Fourier transforms it is shown that the

    Original URL path: http://linkage.rockefeller.edu/dnacorr/l-jmab97-c.html (2012-11-26)
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  • PhyRevLett,97, Dokholyan
    that these distribution functions have different functional forms for coding and noncoding DNA For coding regions the probability of finding a repetitive sequence of l copies of a particular dimer decreases exponentially as l increases For the noncoding regions the distribution functions for most of the 16 dimers have long tails and can be approximated by power law functions while for coding DNA they can be well fit by a

    Original URL path: http://linkage.rockefeller.edu/dnacorr/l-prl97-d.html (2012-11-26)
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  • TIG,97,Francino
    6 240 245 June 1997 Abstract The complementary strands of DNA differ with respect to replication and transcription Both of these processes are asymmetric and can bias the occurrence of mutations between the strands during replication the discontinuous lagging strand undergoes certain errors at higher rates and transcription overexposes the nontranscribed strand to DNA damage while targeting repair enzymes to the transcribed strand While biases introduced during replication apparently have

    Original URL path: http://linkage.rockefeller.edu/dnacorr/l-tig97-fo.html (2012-11-26)
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  • IndianJBB,97,Gupta
    range correlations do not distinguish between the intron containing DNA sequences and intronless DNA sequences The biological origin of long range correlations in the DNA sequences is not clearly known In this paper we have demonstrated that long range correlations also occur on intronless mitochondrial DNA sequences indicating that these special type of correlations are not the unique features for intron containing DNA sequences We have also demonstrated that long

    Original URL path: http://linkage.rockefeller.edu/dnacorr/l-ijbb97-g.html (2012-11-26)
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  • CABIO,97,Korotkov
    of latent periodicity search is developed We use mutual information to reveal the latent periodicity of mRNA sequences The latent periodicity of an mRNA sequence is a periodicity with a low level of similarity between any two periods inside the mRNA sequence The mutual information between an artificial numerical sequence and an mRNA sequence is calculated The length of the artificial sequence period is varied from 2 to 150 The

    Original URL path: http://linkage.rockefeller.edu/dnacorr/l-cabio97-k.html (2012-11-26)
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