Results 241 to 250 of about 1,984,825 (269)
Compatibility of whole-genome sequencing data from Illumina and Ion Torrent technologies in genome comparison analysis of <i>Listeria monocytogenes</i>. [PDF]
Microb GenomLüth S, Fuchs J, Deneke C.
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Wavelet analysis of DNA sequences
Physical Review E, 1996In this paper we use wavelet analysis in order to probe the localized structure of DNA sequences. We demonstrate that, unlike other conventional approaches, wavelets are able to decompose seemingly homogeneous regions in noncoding sequences into smaller distinct regions that obey their own repetition and construction rules.
Panagiotis A. Tsonis +3 more
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DNA Sequence Analysis and Comparative Sequencing
Methods, 1998Abstract This article aims to give an introduction to comparative sequencing and analysis, containing a brief section on sequence production, but focusing on the computer-based ( in silico ) analysis of genomic sequence.
Ann-Marie Mallon, Mark A. Strivens
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COMPUTATIONAL DNA SEQUENCE ANALYSIS
Annual Review of Microbiology, 1994This paper reviews several new developments in computer and statistical analysis of DNA and protein sequences. We present criteria and describe means for assessing and interpreting genomic inhomogeneities within and between sequences. These include: (a) characterizations of short oligonucleotide biases and general compositional tendencies; (b ...
Lon R. Cardon, Samuel Karlin
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CRC Critical Reviews in Biochemistry, 1979
(1979). Rapid DNA Sequence Analysi. CRC Critical Reviews in Biochemistry: Vol. 6, No. 1, pp. 1-33.
Heinz Schaller, Gillian M. Air
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(1979). Rapid DNA Sequence Analysi. CRC Critical Reviews in Biochemistry: Vol. 6, No. 1, pp. 1-33.
Heinz Schaller, Gillian M. Air
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Statistical Methods in Medical Research, 1993
Recent developments in the statistical analysis of DNA sequences are reviewed. The pace with which sequence data are being generated and analysed has increased with the growth of the human genome project. Two areas of activity are emphasized: attention to error rates in recorded sequences, and heterogeneity in structure of sequences.
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Recent developments in the statistical analysis of DNA sequences are reviewed. The pace with which sequence data are being generated and analysed has increased with the growth of the human genome project. Two areas of activity are emphasized: attention to error rates in recorded sequences, and heterogeneity in structure of sequences.
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Nucleotide sequence analysis of DNA
Biochemical and Biophysical Research Communications, 1972Abstract A radioactive octanucleotide d(C-T-T-T-C-C-C-C) complementary to one of the cohesive ends of bacteriophage 186 DNA has been isolated. The octanucleotide was used as a model oligonucleotide for binding studies with the single-strand ends of 186 DNA.
Raji Padmanabhan, Ray Wu, R. Padmanabhan
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2018
Among various biological data, DNA sequence is doubtlessly a fundamental datum. By obtaining particular DNA sequence data and analyzing, biologists get to understand life science more precisely. This chapter is an overview of DNA sequencing technology and its data analysis methods, providing information about DNA sequencing, several different methods ...
Lin He, Keyi Long, Lei Cai
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Among various biological data, DNA sequence is doubtlessly a fundamental datum. By obtaining particular DNA sequence data and analyzing, biologists get to understand life science more precisely. This chapter is an overview of DNA sequencing technology and its data analysis methods, providing information about DNA sequencing, several different methods ...
Lin He, Keyi Long, Lei Cai
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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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A Markov analysis of DNA sequences
Journal of Theoretical Biology, 1983We present a model by which we look at the DNA sequence as a Markov process. It has been suggested by several workers that some basic biological or chemical features of nucleic acids stand behind the frequencies of dinucleotides (doublets) in these chains.
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