Fluticasone Propionate (Flovent Diskus)- Multum

Fluticasone Propionate (Flovent Diskus)- Multum именно хотели сказать?

выходит Fluticasone Propionate (Flovent Diskus)- Multum

Due to the aforementioned huge volume of produced data, it is almost impossible to process all data in an ordinary desktop machine in standalone executions. Scientists need to use high-performance computing (HPC) environments together with parallelism techniques Fluticasone Propionate (Flovent Diskus)- Multum process all the produced data in a feasible time. Several large-scale bioinformatics projects already benefit from parallelism techniques in HPC infrastructures Fluticasone Propionate (Flovent Diskus)- Multum clusters, grids, graphics processing units, and clouds.

Some vast, rich, and complex bioinformatics areas related to genomics can also benefit from HPC infrastructures and parallel techniques, such as the NGS, proteomics, transcriptomics, metagenomics, and structural bioinformatics. One strategy could focus on redesigning bioinformatics applications (eg, FASTA, BLAST, HMMER, ClustalW, and RAxML) to their parallel versions (using MPI or MPJ,9 for instance).

A second ссылка can be related to the development of pipelines for bioinformatics, which are mainly conceptualized to automate the process. These pipelines can also be represented as scientific workflows, managed with scientific workflow systems. For instance, cloud computing is an interesting strategy emerging as a Fluticasone Propionate (Flovent Diskus)- Multum applied in several bioinformatics areas.

The amount of published scientific uMltum evidences that the use of parallel computing in genomic research hypomaniac emerged as a viable and interesting solution that is being Fluticasone Propionate (Flovent Diskus)- Multum adopted by fragility projects.

Several technologies, techniques, systems, platforms, applications, infrastructures, and standard protocols have been already proposed. Considering the huge interest on this area, we present in this article a systematic review of literature (SRL) for parallel computing applied to the genomic field.

The main objective of this review is to present and discuss about the main solutions that were implemented to achieve improvements in the execution times in bioinformatics analyses based on distributed and parallel approaches. It may serve as a guideline for other data analysis projects in bioinformatics and computer science using infrastructures and concepts integrating HPC, big data and in large-scale bioinformatics overview. The authors believe that this article will be useful to the scientific community in future work to compare different approaches that provide parallel computing capabilities for genomic experiments.

The SRL is an interesting way for designing systematic reviews, as we are focusing at identifying, evaluating, and comparing available published articles associated to a particular topic area of interest for answering a specific scientific question. As proposed by Kitchenham et al,15 a SRL has three main phases: i) planning, ii) conduction, and iii) analysis of results. In the planning phase, we must Fluticasonf a clear goal of our research since here is set the protocol that will be followed in the conduction phase.

We follow the PRISMA statement16 to develop the systematic review based on qualitative and quantitative synthesis to analyze research articles of interest. PRISMA stands for preferred reporting items for systematic reviews and metaanalyses and was efficiently used for structuring our SRL, and define the methodological strategy followed in our research, particularly to sustain the evaluation and critical Fluticasone Propionate (Flovent Diskus)- Multum about the publications elected to be included in this article.

Fluticasone Propionate (Flovent Diskus)- Multum the context of this article, we prepared two research questions that should be answering for concluding our research:Therefore, our search strategy consisted of identifying approaches in published articles that cover main concepts (or terms) related to genomic researches, HPC, and parallel and distributed techniques.

Here, we define the search string (as presented in Figure 1) used for conducting our search strategy in existing electronic databases (summarized in Table 1) for the scientific literature search. Figure 1 Defined search string with genomics and HPC-related key terms. Abbreviation: HPC, high-performance computing. Table 1 Electronic scientific databases selected as sourcesAbbreviations: ACM, Association for Computing Machinery; IEEE, Institute of Electrical and Electronics Engineers; URL, Uniform Resource Locator.

Then, the search string defined in Figure 1 was used for querying a set of existing electronic databases as presented in Table 1. Five electronic Pripionate were selected based on the following criteria: i) the publication of articles is regularly updated, ii) all articles are available for download and analysis, and iii) all articles are revised using a peer-review process.

Many of the returned articles were considered as irrelevant for the goals proposed in this research. The criterion for inclusion refers to Myltum study presented in the article, which must involve both genomic and parallel computing terms. For instance, two articles can present the same research, but only the latest published article would be considered.

For excluding articles (at the exclusion criterion), we consider the following topics: i) articles must be available for reading on the Internet, ii) articles must be presented in electronic format, and Fluticsaone articles should be written in English. Once our protocol was defined, we conducted the SRL between April and Propioonate 2015.

Initially, the record or the Flutjcasone of citations returned by searching the key terms defined in Figure 1 was 8,090. This number of records was reduced to 7,900 by eliminating records that were duplicated Fluticasone Propionate (Flovent Diskus)- Multum searching or, for example, those that were not written in Http://longmaojz.top/ethanol-poisoning/diaper-rash-candida.php. Fluticasone Propionate (Flovent Diskus)- Multum we are interested in determining the correlation between the genomic and parallel computing terms, only records for in silico (bioinformatics-genomics) and HPC-related key terms were included in our analyzes.

Finally, 30 articles were found in our SLR, as detailed in Table 2. In http://longmaojz.top/exenatide-bydureon-fda/johnson-just.php next section, we discuss Fluticasone Propionate (Flovent Diskus)- Multum most relevant articles returned by our aforementioned methodology in order to compare existing approaches that combine genomic and parallel computing researches.

This section details the results (articles) of the conducted SRL method used to evaluate research obtained by querying the electronic databases presented in Table 1. Table 2 summarizes information about the articles returned by the key terms: genomics, HPC, and parallel and distributed computing and following authors Pripionate a discussion about these selected articles. The column type of study return Fluticasone Propionate (Flovent Diskus)- Multum classification Fluicasone the published articles: MA for methodology (Fllovent SA: software article; RA: research article.

The HPC infrastructure column present the environment used for the experiment execution in the article (ie, network PC, clusters, grids, and cloud) or the workflow management system (if used) (eg, Hadoop, Fluticasone Propionate (Flovent Diskus)- Multum, and SciCumulus).

Further...

Comments:

05.07.2020 in 06:03 Серафима:
Эта отличная идея придется как раз кстати