An Expert Network for DNA Sequence Analysis
IEEE Intelligent Systems
Efficient Similarity Search In Sequence Databases
FODO '93 Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms
A Faster Algorithm for Approximate String Matching
CPM '96 Proceedings of the 7th Annual Symposium on Combinatorial Pattern Matching
A Fast Pruning Algorithm for Optimal Sequence Alignment
BIBE '01 Proceedings of the 2nd IEEE International Symposium on Bioinformatics and Bioengineering
A Method to Find Uniq e Sequences on Distrib ted Genomic Databases
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
SMASHing regulatory sites in DNA by human-mouse sequence comparisons
CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics
Multi-resolution disambiguation of term occurrences
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
A Time Series Approach for Identification of Exons and Introns
ICIT '07 Proceedings of the 10th International Conference on Information Technology
An efficient pattern matching algorithm for comparative Genome sequence analysis
ACC'08 Proceedings of the WSEAS International Conference on Applied Computing Conference
Comparative genome sequence analysis by efficient pattern matching technique
WSEAS Transactions on Information Science and Applications
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Comparative genomic analysis between variant datasets of same specie is considered to be vital to discover the degree of relevancy in them. This analysis helps in the categorisation of diversity of features in species. An immense need was felt to build sophisticated tools for efficient and robust comparative analysis. The accuracy of methodologies is directly proportional to sensitivity involved in comparing datasets for optimality. This paper is a depiction of an effort for the discovery of variant features between genetic datasets of Mus musculus. The approach described is demonstrated phase-wise with the inclusion of specific filters at each stage. At first instance, cleansing filter refines the datasets. Further series of filters depict the layered process for comprehensive comparative analysis. Numerical results have been evaluated. The protein translation phase has been introduced with conceptual demonstration of codon composition phenomenon. Characteristics of density, nucleotide strengths and codon composition better reflect the relevancy in genetic datasets of Mus musculus.