Even though the object oriented persistent stores has not gained large commercial adaptation rate, it still is an interesting research field in many aspects including the data integration. Persistent data integration is a very challenging goal in modern computer systems. This paper presents a proposal for application of effective indexing integration scheme for distributed and heterogeneous data environment using an object database as the central store.
The need for creating content repository stores for e-learning systems grows as the number of available materials increases. Moreover, along with the number of courses, the problem of describing them in a unified form appears. While there are standards used for strict classification of e-learning content, the store model still seems to be based on preservative relational databases approach. In this paper we introduce an idea to represent the e-learning content management information in the well organized object-oriented form based on a prospective object-oriented database.
As of today, most of the data processing systems have to deal with a large amount of data originated from numerous sources. Data sources almost always differ regarding its purpose of existence. Thus model, data processing engine and technology differ intensely. Due to current trend for systems fusion there is a growing demand for data to be present in a common way regardless of its legacy. Many systems have been devised as a response to such integration needs. However, the present data integration systems mostly are dedicated solutions that bring constraints and issues when considered in general. In this paper we will focus on the present solutions for data integration, their flaws originating from their architecture or design concepts and present an abstract and general approach that could be introduced as an response to existing issues. The system integration is considered out of scope for this paper, we will focus particularly on efficient data integration.
The CRISPR-Cas9 system is being widely used for genome engineering in many different biological applications. As a prokaryotic adaptive immunity system, that was originally adapted from the bacterial Type II CRISPR, CRISPR-Cas9 uses a non-coding RNAs. Those RNAs guides Cas9 nuclease, which in turn induce site-specific DNA cleavage at a specific locations in genome. Such mechanism gives an opportunity to create a programmable method for genome editing. The first step in a CRISPR/Cas9 gene engineering experiment is to design a custom single guide RNA (sgRNA). This paper discusses a possible way of organizing data for designing sgRNA using a fast and general-purpose cluster computing system based on MapReduce paradigm.
PL
CRISPR-Cas9 to system powszechnie używany w procesach inżynierii genetycznej. Jako mechanizm adaptacyjnej swoistej odpowiedzi immunologicz-nej pochodzi pierwotnie z bakterii typu drugiego oraz wykorzystuje niekodujące RNA do modyfikacji DNA. Cas9 to enzym, który działając na DNA i RNA doprowadza do ich rozkładu przez rozerwanie wiązań fosfodiestrowych wewnątrz łańcucha kwasu nukleinowego. Cięcia te dzięki istniejącym mechanizmom zostają automatycznie połączone już bez wyciętego fragmentu. W ten sposób działa programowalne narzędzie do edycji genomu. Pierwszym krokiem przy procesie edycji genomu jest zaprojektowanie pojedynczej nici RNA (single guide RNA – sgRNA) i na tym etapie skupia się niniejsza praca. W pracy postanowiono wykorzystać podejście MapReduce do obliczeń związanych z pierwszym etapem funkcjonowania CRISPR/Cas9. Zaproponowano zoptymalizowany sposób organizacji danych wykorzystywanych do projektowania sgRNA na podstawie systemu przetwarzania rozproszonego opartego na paradygmacie MapReduce.
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