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Recent Advances in DNA Sequence Analysi
CRC Critical Reviews in Biochemistry, 1975(1975). Recent Advances in DNA Sequence Analysi. CRC Critical Reviews in Biochemistry: Vol. 2, No. 4, pp. 455-512.
Ray Wu +3 more
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Mitochondrial DNA sequence analysis in Sicily
American Journal of Human Biology, 2001AbstractThis study reports data on the sequences of the first hypervariable segment of a sample of the Sicilian population from Alia (Palermo, Italy). The results show the presence of 32 different haplotypes in the 49 individuals examined. The average number of pairwise nucleotide differences was 4.04, i.e., 1.17% per nucleotide.
Vona G +5 more
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Web Services for DNA Sequence Analysis
16th International Workshop on Database and Expert Systems Applications (DEXA'05), 2006The standardized interface to sequence analysis tools is highly desirable to integrate bioinformatics applications. Currently existing software packages and programming toolkits (BioPerl, BioJava, etc.) used by bioinformaticians for DNA sequence analysis have limited support for exchanging and reusing data.
Denis Shestakov, Tapio Salakoski
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The Preferential Mode Analysis of DNA Sequence
Journal of Theoretical Biology, 1997After reviewing approaches to the nucleotide correlation of DNA sequences the preferential mode analysis method is emphasized and discussed in detail. The preferred modes and poor modes in coding regions, as well as in introns, 5'-caps and 3'-tails are found through the statistical analysis of sequence data of all kinds of species in GenBank.
L, Luo, F, Ji
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An expert network for DNA sequence analysis
IEEE Intelligent Systems, 1999The expert neural network system the author has developed for use in DNA sequence analysis combines a traditional symbolic expert system with an artificial neural network. The resulting hybrid system can accurately model underlying domain knowledge to improve accuracy, generalization performance, and information-processing speed.
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2009
In this chapter we introduce some of the elementary concepts for analyzing DNA sequences in terms of “words” of length 1 (bases), 2 (base pairs), 3 (triplets, such as codons), restriction sites, etc. The analysis uses some of the basic probability concepts that we have worked with in the previous chapter.
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In this chapter we introduce some of the elementary concepts for analyzing DNA sequences in terms of “words” of length 1 (bases), 2 (base pairs), 3 (triplets, such as codons), restriction sites, etc. The analysis uses some of the basic probability concepts that we have worked with in the previous chapter.
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Quantitative analysis of DNA-sequencing electrophoresis
Genetic Analysis: Biomolecular Engineering, 1992At the heart of the DNA-sequencing process is a remarkably selective electrophoretic separation of up to 1000 oligonucleotide fragments, each differing in size by only a single nucleotide unit. A quantitative analysis of this separation is performed in terms of both selectivity and efficiency.
P D, Grossman, S, Menchen, D, Hershey
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Video analysis of DNA sequence homologs
Analytical Chemistry, 1992A method for the rapid quantitative analysis of dot blot assays is presented. A video camera, an NTSC compatible frame grabber board, and an AT personal computer are used to read photographic exposures of the assay plate. Image processing and image analysis techniques are used to calculate the orientation of the dot raster and then to compensate for ...
M, Ludwig, R J, Hartzman
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A Novel Analysis Model for DNA Sequences
2008 International Conference on BioMedical Engineering and Informatics, 2008A novel analysis model for DNA sequence based on Stephen S.-T. Yau's method is presented. The model adopts a trigonometric function to represent the four nucleotides A, G, C, and T in a DNA sequence, and has some interesting characteristics. Basing on the characteristics, statistical experiments on human gene coding regions show high possibility of ...
Xianyang Jiang, Stephen S.-T. Yau
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Analysis of DNA sequence transformations on grids
Journal of Parallel and Distributed Computing, 2009Study of the evolution of species or organisms is essential for various biological applications. Evolution is typically studied at the molecular level by analyzing the mutations of DNA sequences of organisms. Techniques have been developed for building phylogenetic or evolutionary trees for a set of sequences.
Joshi, Y, Vadhiyar, S
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