scholarly journals Development of Microsatellite Markers by Data Mining from DNA Sequences

10.5772/6458 ◽  
2009 ◽  
Author(s):  
Jingou Tong ◽  
Dan Wang ◽  
Lei Cheng
Keyword(s):  
Data Mining ◽  
Microsatellite Markers ◽  
Dna Sequences

scholarly journals A Collective Algorithmic ApproachFor Enhanced DNA Database Security

2013 ◽  
Vol 4 (1) ◽  
pp. 174-178
Author(s):  
Vijay Arputharaj J ◽  
Dr.R. Manicka Chezian
Keyword(s):  
Data Mining ◽  
Dna Sequences ◽  
Human Genetics ◽  
Database Security ◽  
Dna Databases ◽  
Parental Identification ◽  
Security Issues ◽  
Dna Database ◽  
Encryption Algorithms ◽  
The Individual

The proposed method is a mixture of several security methods namely digital authentication tag along with the data mining in the DNA database. Data mining in the area of human genetics, an important goal is to understand the mapping relationship between the individual variation in human DNA sequences and variability in various algorithms for database security issues, for mutation susceptibility and parental identification differences. This paper primarily deals with the advancement of genetic algorithm with proper security features in DNA Databases and it enhances the special features in DNA database security. Several security methods include encryption algorithms, higher, not as much of multifaceted with trouble-free to apply in DNA Databases, used for protected database. The Reverse Encryption algorithm to protect data,Advance Cryptography algorithm to resist data, also Advanced Encryption Standard (AES) is most preferable for security in DNA databases.

Complex Biological Data Mining and Knowledge Discovery

Biotechnology ◽  
2019 ◽  
pp. 305-321
Author(s):  
Fatima Kabli
Keyword(s):  
Data Mining ◽  
Knowledge Discovery ◽  
Dna Sequences ◽  
Protein Structures ◽  
Extraction Process ◽  
Biological Data ◽  
Knowledge Discovery In Databases ◽  
Complex Data ◽  
Mining Methods ◽  
Scientific Challenge

The mass of data available on the Internet is rapidly increasing; the complexity of this data is discussed at the level of the multiplicity of information sources, formats, modals, and versions. Facing the complexity of biological data, such as the DNA sequences, protein sequences, and protein structures, the biologist cannot simply use the traditional techniques to analyze this type of data. The knowledge extraction process with data mining methods for the analysis and processing of biological complex data is considered a real scientific challenge in the search for systematically potential relationships without prior knowledge of the nature of these relationships. In this chapter, the authors discuss the Knowledge Discovery in Databases process (KDD) from the Biological Data. They specifically present a state of the art of the best known and most effective methods of data mining for analysis of the biological data and problems of bioinformatics related to data mining.

scholarly journals Size Separation of Circulatory DNA in Maternal Plasma Permits Ready Detection of Fetal DNA Polymorphisms

2004 ◽  
Vol 50 (6) ◽  
pp. 1002-1011 ◽  
Author(s):  
Ying Li ◽  
Bernhard Zimmermann ◽  
Corinne Rusterholz ◽  
Anjeung Kang ◽  
Wolfgang Holzgreve ◽  
...  
Keyword(s):  
Microsatellite Markers ◽  
Dna Sequences ◽  
Maternal Plasma ◽  
Biochemical Properties ◽  
Chromosome 21 ◽  
Dna Polymorphisms ◽  
Plasma Dna ◽  
Genetic Traits ◽  
Fetal Dna ◽  
Cell Free Fetal Dna

Abstract Background: Analysis of fetal DNA in maternal plasma has recently been introduced as a new method for noninvasive prenatal diagnosis, particularly for the analysis of fetal genetic traits, which are absent from the maternal genome, e.g., RHD or Y-chromosome-specific sequences. To date, the analysis of other fetal genetic traits has been more problematic because of the overwhelming presence of maternal DNA sequences in the circulation. We examined whether different biochemical properties can be discerned between fetal and maternal circulatory DNA. Methods: Plasma DNA was examined by agarose gel electrophoresis. The fractions of fetal and maternal DNA in size-fractionated fragments were assayed by real-time PCR. The determination of paternally and maternally inherited fetal genetic traits was examined by use of highly polymorphic chromosome-21-specific microsatellite markers. Results: Size fractionation of circulatory DNA indicated that the major portion of cell-free fetal DNA had an approximate molecular size of <0.3 kb, whereas maternally derived sequences were, on average, considerably larger than 1 kb. Analysis of size-fractionated DNA (≤0.3 kb) from maternal plasma samples facilitated the ready detection of paternally and maternally inherited microsatellite markers. Conclusions: Circulatory fetal DNA can be enriched by size selection of fragment sizes less than ∼0.3kb. Such selection permits easier analysis of both paternally and maternally inherited DNA polymorphisms.

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