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Computer support of DNA sequence analysis

Computer Programs in Biomedicine, 1981
The paper describes a package of APL-programs suited for the management and the analysis of DNA sequence data. Most of the application programs are related to experimental work in a DNA sequencing laboratory: Search for overlapping DNA fragments to construct complete DNA sequences; search for restriction sites; computing fragment patterns when cutting ...
G, Osterburg, R, Sommer
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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, 2001
AbstractThis 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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Video analysis of DNA sequence homologs

Analytical Chemistry, 1992
A 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, 2008
A 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, 2009
Study 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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DNA Sequence Analysis

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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Quantitative SERRS for DNA sequence analysis

Chemical Society Reviews, 2008
SERRS is an extremely sensitive and selective technique which when applied to the detection of labelled DNA sequences allows detection limits to be obtained which rival, and in most cases are better than, fluorescence. In this tutorial review the conditions are explored which enable the successful detection of DNA using SERRS.
Graham, Duncan, Faulds, Karen
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Prediction of Function in DNA Sequence Analysis

Journal of Computational Biology, 1995
Recognition of function of newly sequenced DNA fragments is an important area of computational molecular biology. Here we present an extensive review of methods for prediction of functional sites, tRNA, and protein-coding genes and discuss possible further directions of research in this area.
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Analysis of Variation in Chloroplast DNA Sequences

2013
This chapter introduces and reviews methods for analyzing variation in chloroplast DNA, mainly by polymerase chain reaction (PCR) and subsequent revelation of polymorphisms. Sources for chloroplast primers are discussed, as well as methods such as Sanger sequencing, PCR followed by restriction fragment length polymorphism (RFLP), gel electrophoresis ...
Berthold, Heinze   +2 more
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