genome mining
Resistance Gene-Directed Genome Mining of 50 Aspergillus Species
... and genome sequencing has revealed a proliferation of predicted biosyn- thetic gene clusters in the ...gene-directed genome mining) pipe- line for identifying this type of biosynthetic gene cluster ...
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The Tripod for Bacterial Natural Product Discovery: Genome Mining, Silent Pathway Induction, and Mass Spectrometry-Based Molecular Networking
... Genome mining. In the last few decades, genome sequencing technologies have evolved, making it cheaper and faster to obtain a whole bacterial genome, for ...theme. Genome mining, ...
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Strain Prioritization and Genome Mining for Enediyne Natural Products
... and genome mining for enediyne natural products from the actinomycetes strain collec- tion at the Scripps Research Institute ...and genome se- quencing of 31 representatives revealed at least 28 ...
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Genome mining for methanobactins
... Joint Genome Institute, Walnut Creek, California, USA), using the tBLASTn [99] (National Center for Biotechnol- ogy Information, Bethseda, Maryland, USA) algorithm to identify genes even in unannotated ...for ...
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Genome mining using machine learning techniques
... In recent years a major paradigm shift in disease treatment towards personalized medicine strategies and a network pharmacology, a paradigm which provides a more global understanding of drug action in their context of ...
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Genome mining identifies cepacin as a plant protective metabolite of the biopesticidal bacterium Burkholderia ambifaria
... ambifaria strains a aligned with presence/absence grid of known antimicrobial specialized metabolite BGCs b and antimicrobial activity heatmap c.. a The phylogenetic tree was constructed[r] ...
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Mining microbial genomes for new natural products and biosynthetic pathways
... A3(2) genome sequencing project was nearing ...‘genome mining’ for new natural products and biosynthetic pathways has become a dynamic and rapidly advancing field (Corre & Challis, 2007; Challis, ...
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Analysis and exploitation of AHFCA dependent signalling systems in Streptomyces bacteria
... From genome mining analyses, a number of cryptic biosynthetic gene clusters that appear to be under the control of putative AHFCA-dependent regulatory systems were identified (Figure 3-10, Appendix D to ...
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In Situ Activation and Heterologous Production of a Cryptic Lantibiotic from an African Plant Ant-Derived Saccharopolyspora Species
... in genome sequencing have revealed that these organisms have the potential to make many more NPs than previously ...by genome mining Saccharopolyspora species found in the obligate domatium-dwelling ...
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From genes to behavior: investigations of neurochemical signaling come of age for the model crustacean Daphnia pulex
... Another novel and exciting contribution that the Daphnia genomic and transcriptomic data may provide to the field of crustacean neurochemistry is its use in the development of RNA interference methods for studying the ...
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Enhanced Frequent Pattern Mining Using Eeurstps
... information mining frameworks, for example, constant delineation tunneling for Text ...information mining-based procedures utilize musings of close dynamic outlines and non-close cases to diminish the ...
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Coal mining and human wellbeing: a case-study in Shanxi, China
... National Mining Association, ...coal mining is a significant contributor to regional economies: the coal economy contributed ...(National Mining Association, ...coal mining industry was ...
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Advanced Data Mining Techniques Olson DS (2008) pdf
... data mining driven models and subsequent prediction systems should be deployed in environ- ments where the models are constantly tested, validated and (as needed) modified ...data mining technology can ...
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Applied Data Mining For Business And Industry Paolo Giudici (2009) pdf
... All this suggests the need for a systematic study of how to compare and evaluate statistical models for data mining. In this chapter we will review the most important methods. As these criteria will be frequently ...
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Applied Data Mining Statistical Methods for Business and Industry Giudici P (2003) pdf
... Developments in the information society have meant that data is now wider- ranging and increasingly complex; it is not structured and that makes it difficult to represent in the form of data matrices (even in extended ...
378
Mining Novel Candidate Imprinted Genes Using Genome-Wide Methylation Screening and Literature Review
... whole genome are known as CpG islands; these segments constitute 1–2% of the mammalian genome, and are associated with most promoters in both human and mouse genomes ...
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Improved Inner Pattern Evolution Mechanism for Accurate & Efficient Text Mining
... data mining techniques have been proposed for mining useful patterns in text ...text mining. Since most existing text mining methods adopted term-based approaches, they all suffer from the ...
5
Data Mining Concepts And Techniques Jiawei Han Micheline Kamber (2000) pdf
... The set of relevant attributes specied may involve other attributes which were not explicitly mentioned, but which should be included because they are implied by the concept hierarchy or dimensions involved in the set of ...
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Data Mining Patterns New Methods And Applications Pascal Poncelet (2008) pdf
... regular expression patterns that are over-repre- sented in a given set of sequences. The algorithm was applied to discovery patterns both in the complete set of sequences taken upstream of the putative yeast genes and in ...
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Data Mining Practical Machine Learning Tools and Techniques 3rd Edition Mantesh pdf
... The book spans the gulf between the intensely practical approach taken by trade books that provide case studies on data mining and the more theoretical, principle- driven exposition found in current textbooks on ...
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