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32 results for “Sequence database”
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Research ArticleOpen accessIn the abstractChanges in the Human Skin Microbiome Over One Year’s TimeRichard W. Hyman, Farbod Babrzadeh, Curtis Palm et al.Human skin comprises a large number of distinguishable ecological niches. To describe fully the human skin microbiome, it will be necessary to identify the bacteria in each niche and to distinguish the commensal bacteria from the temporary residents. To contribute to the description of the human skin microbiome and employing a gene-based technology, we have identified the bacteria in two … …Current Research in Microbiology, Vol. 3, Issue 2 · 23 Jul 2012 · 7,043 accessesView PDFCite
Research ArticleOpen accessIn the abstractRetrieval Optimization Technique for Tuple Timestamp Historical Relation Temporal Data ModelSami M. Halawani, Ibrahim AlBidewi, Ab Rahman Ahmad, Nashwan A. Al-RomemaProblem statement: In the field of database technology, Recoding time related data are referred to as temporal databases. Conventional relational databases are queried using the underlying constructs of SQL which are translated into Relational Algebra (RA). Relational Algebra (RA) is the writing of logical expressions that uses a set of relational operators to perform operations on specific relation(s) and returns … …Journal of Computer Science, Vol. 8, Issue 2 · 9 Dec 2011 · 7,376 accessesView PDFCite
Research ArticleOpen accessIn the abstractFast Algorithms for Discovering Sequential Patterns in Massive DatasetsS. Dharani, Justus Rabi, Nanda Kumar, DarlyProblem statement: Sequential pattern mining is one of the specific data mining tasks, particularly from retail data. The task is to discover all sequential patterns with a user-specified minimum support, where support of a pattern is the number of data-sequences that contain the pattern. Approach: To find a sequence patterns variety of algorithm like AprioriAll and Generalized Sequential Patterns (GSP) … …Journal of Computer Science, Vol. 7, Issue 9 · 23 Jul 2011 · 7,280 accessesView PDFCite
Research ArticleOpen accessIn the abstractFrequency of P/S(XX)P Duplication and FRFE, Absence of LYP in P6Gag of Indian Human Immunodeficiency Virus-1 Subtype C IsolatesKrutika Wadekar, Sudhanshu Pandey, Preeti Jain et al.Problem statement: The presence of a p6 domain at the C-terminus of the Gag polyprotein is a characteristic feature of HIV-1 and other primate lentiviruses. The p6Gag protein is considered as a major phosphoprotein in mature HIV-1 virions and is involved in the viral assembly and budding process. Sequence variation in the p6gag region in HIV-1 has been associated with … …Current Research in Medicine, Vol. 1, Issue 2 · 31 Oct 2010 · 7,529 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassical Flexible Lip Model Based Relative Weight Finder for Better Lip Reading Utilizing Multi Aspect Lip GeometryB. Sujatha, T. SanthanamProblem statement: Deaf and dumb needs assistance from a technical box that takes movements of lips to identify the words. This technical article provided appropriate model implementation of flexible lip model for better visual lip reading system. Approach: From the frame sequence of words, Active Shape Model (ASM) based lip model provided local tracking and extraction of geometric lip-feature. Two … …Journal of Computer Science, Vol. 6, Issue 10 · 30 Jul 2010 · 7,125 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Parallel Maximal Cliques Algorithm for Protein Sequence ClusteringKhalid Jaber, Nur’Aini Abdul Rashid, Rosni AbdullahProblem statement: Protein sequence clustering is a method used to discover relations between proteins. This method groups the proteins based on their common features. It is a core process in protein sequence classification. Graph theory has been used in protein sequence clustering as a means of partitioning the data into groups, where each group constitutes a cluster. Mohseni-Zadeh introduced a … …American Journal of Applied Sciences, Vol. 6, Issue 7 · 31 Jul 2009 · 7,100 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of Deduced Protein Database Using Variable Bit Binary EncodingB. Parvathavarthini, B. Rajesh Kanna, L. RajeswarideviA large amount of biological data is semi-structured and stored in any one the following file formats such as flat, XML and relational files. These databases must be integrated with the structured data available in relational or object-oriented databases. The sequence matching process is difficult in such file format, because string comparison takes more computation cost and time. To reduce … …Journal of Computer Science, Vol. 4, Issue 6 · 30 Jun 2008 · 6,512 accessesView PDFCite
Research ArticleOpen accessIn the abstractNimble Protein Sequence Alignment in Grid (NPSAG)K. Somasundaram, S. RadhakrishnanIn Bio-Informatics application, the analysis of protein sequence is a kind of computation driven science which has rapidly and quickly growing biological data. Also databases used in these applications are heterogeneous in nature and alignment of protein sequence using physical techniques is expensive, slow and results are not always guaranteed/accurate. So this application requires cross-platform, cost-effective and more computing power … …Journal of Computer Science, Vol. 4, Issue 1 · 31 Jan 2008 · 6,921 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Incremental Updating Algorithm for Mining Sequential PatternsJia-Dong Ren, Xiao-Lei ZhouThis study discusses how to maintain discovered sequential patterns when some information is deleted from a sequence database. A new algorithm, called MA_D (Maintenance Algorithm when Deleting some information), is presented in order to deal with the maintenance of sequential patterns mining resulted from the updating of database and the algorithm makes full use of the information obtained from previous … …Journal of Computer Science, Vol. 2, Issue 4 · 30 Apr 2006 · 6,613 accessesView PDFCite
Research ArticleOpen accessIn the abstractTaxonomically Clustering Organisms Based on the Profiles of Gene Sequences Using PCAE. Ramaraj, M. PunithavalliThe biological implications of bioinformatics can already be seen in various implementations. Biological taxonomy may seem like a simple science in which the biologists merely observe similarities among organisms and construct classifications according to those similarities[1], but it is not so simple. By applying data mining techniques on gene sequence database we can cluster the data to find interesting similarities … …Journal of Computer Science, Vol. 2, Issue 3 · 31 Mar 2006 · 6,746 accessesView PDFCite