Bioinformatics applications
Cloud Technologies for Bioinformatics Applications
... two bioinformatics applications with the above ...The applications are a pairwise Alu sequence alignment application and an EST (Expressed Sequence Tag) sequence assembly ...
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Cloud Technologies for Bioinformatics Applications
... different bioinformatics applications (EST [5][6] and Alu clustering [7][8]) and for the later we also present details of an MPI implementa- tion as ...the applications are (as is often so in ...
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A Composite Interface for Bioinformatics Applications (CIBA)
... human error and how the design of a computer program can either contribute to or minimize said error (Norman 1983). One of the major classes Norman cites is “mode error,” which he defines as the result of a user ...
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Intelligent mining of large-scale bio-data: Bioinformatics applications
... adequate available sequences [42]. Additionally, the dis- covery of single nucleotide polymorphisms (SNP) in numerous model and non-model plant species is the result of bioinformatics progress [13]. In a recent ...
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Grasping frequent subgraph mining for bioinformatics applications
... Phylogenetic trees The construction of phylogenetic trees that represent similarity between sequences is a common staple in bioinformatics. As a tree is a specific type of graph, many of the approaches detailed ...
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Deep Artificial Neural Networks and Neuromorphic Chips for Big Data Analysis: Pharmaceutical and Bioinformatics Applications
... of applications since Geoffrey Hinton examined the issues around training large networks [22], and came up with a new approach that had consequences for the cost of training of these networks ...
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Data Science Research and Education with Bioinformatics Applications
... • Data Science is a promising new degree option – nationwide and at Indiana University • Global Machine Learning or Exascale Global Optimization particularly challenging • Develop SPIDAL[r] ...
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The development of a database and bioinformatics applications for the investigation of immune genes
... of bioinformatics online tools that were implemented in the AFND website for the examination of ...software applications implemented in the AFND website to estimate the overall frequencies by geographical ...
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Grammatical-Restrained Hidden Conditional Random Fields for Bioinformatics applications
... some applications require the inclusion of grammar rules, and in these cases generative models, such as Hidden Markov Models (HMMs) and Stochastic Grammars, are routinely ...
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An application scheduler for bioinformatics applications
... of Bioinformatics, a combination of molecular and computational biology [4], is associated with gathering, managing and interpreting genomic ...data. Bioinformatics anal- yses or processes are, in their ...
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FutureGrid Cloud Technologies and Bioinformatics Applications
... – Apache Hadoop, Google MapReduce, Microsoft Dryad, and others – Designed for information retrieval but are excellent for a wide range of science data analysis applications – Can also do[r] ...
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NFU-Enabled FASTA: moving bioinformatics applications onto wide area networks
... practical bioinformatics and life sci- ence software application using NFU-enabled IBP as a means of both data storage and computation, filling a much-needed gap in research conducted as part of distrib- uted ...
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Using Cloud Technologies for Bioinformatics Applications
... This shows the natural load balancing of Hadoop MR dynamic task assignment using a global pipeline in contrast to the DryadLinq static assignment Dryad with Windows HPCS compared to Hado[r] ...
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Cloud Technologies for Bioinformatics Applications
... We implemented a DryadLINQ application that performs CAP3 sequence assembly program in parallel. As discussed in section 2.1 CAP3 is a standalone executable that processes a single file containing DNA sequences. To ...
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Cloud Technologies and Bioinformatics Applications
... This shows the natural load balancing of Hadoop MR dynamic task assignment using a global pipe line in contrast to the DryadLinq static assignment Dryad with Windows HPCS compared to Had[r] ...
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Generations of interdisciplinarity in bioinformatics
... in bioinformatics and the acquisition of the first dis- ciplinary “trappings:” journals, conferences, undergraduate courses, departments, and so on (Stevens ...nexus. Bioinformatics draws on the hinterlands ...
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Generations of interdisciplinarity in bioinformatics
... of bioinformatics, a consideration of which is essential for a science policy concerned with the crystallization of interdisciplines into disciplines them- selves (see Jasanoff 2013 for a reflexive account of the ...
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Bioinformatics of Profilin in Wheat
... Allergic disease is one of the major problems in the current world of hygiene. Plant pollen and food play an important role in allergic reactions. The wheat can also cause severe allergic reactions. Recent studies have ...
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2012 Bioinformatics Program
... (The function will have other parameters as well.) Include a loop that lets the user repeat this computation for new input values again and again until the user says he or she wants to[r] ...
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Data Mining in Bioinformatics Day 8: Clustering in Bioinformatics Clustering Gene Expression Data
... Hierarchical clustering of gene expression data groups together genes that are known to have similar functions Gene expression clusters reflect biological processes Coexpression data can[r] ...
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