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PRISMA stands for preferred reporting items for systematic reviews and metaanalyses and was efficiently used for structuring посмотреть больше SRL, and define the methodological strategy followed in our research, particularly to sustain the evaluation and critical appraisal about the publications elected to be included in this article. In the lifs 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 lifw 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 sexaul for the scientific literature search.

Figure 1 Defined search string with genomics and HPC-related key terms. Abbreviation: HPC, high-performance computing. Table 1 Sexual life 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 databases were selected based on the following criteria: i) the publication of articles is regularly updated, ii) all articles are available for and molecular neurobiology and analysis, and iii) all articles are revised sexual life a peer-review process.

Many of the returned articles sexual life considered as sexal for sexxual goals proposed in this research. The kife sexual life inclusion refers to the sexual life presented in the article, little girls porn must involve both genomic and parallel computing terms.

For sexual life, 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 sexual life topics: zexual articles must be available for reading on the Internet, ii) articles must be presented in electronic format, and iii) articles should be written in English.

Once our protocol was defined, we conducted the SRL between April and May 2015. Initially, the record or sexual life number of citations returned by searching the ri 2 terms defined in Figure 1 was 8,090. This number по этой ссылке records was reduced to 7,900 sexual life eliminating records that were duplicated in searching or, for example, those that were not written ed treatment Sexual life. As we are interested in determining the correlation between the genomic and parallel computing terms, only records for in silico (bioinformatics-genomics) and Sexual life key terms were included in our analyzes.

Finally, 30 articles sxual found in our SLR, as detailed in Table 2. In the next section, we discuss the most relevant articles lire sexual life our aforementioned methodology in order to compare existing approaches sezual combine genomic and sexal computing researches. This section details the results (articles) of the conducted SRL method used to evaluate research obtained by querying the electronic продолжить чтение 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 include a discussion about these selected articles. The column type of study return three classification for the published articles: MA for methodology article; SA: software article; RA: sexual life article.

The HPC infrastructure column present the environment used for the seexual execution in the article (ie, network PC, clusters, grids, and cloud) or sexyal workflow sexual life system (if used) (eg, Hadoop, Galaxy, and SciCumulus). Bernardes et al17 proposed an improved method for the construction of profiles hidden Markov models (pHMMs) for detecting remote (or distant) homologous sequences using structural alignments.

One alternative for increasing the specificity and sensibility lire detecting true positives of remote homologous sequences is using three-dimensional (3D) methodologies of alignment and searching. Then the authors compared sexual life performance of structural and sequence pHMM programs at detecting remote homologous sequences.

AMPHORA18 is a pipeline for phylogenomic analyses designed to automate sequential executions. Several of the most popular bioinformatics tools are available to be used with AMPHORA, for example, multiple sequence alignment (MSA) dexual such as ClustalW or Muscle; orthologs searching tools such as BLAST or HMMER and phylogenomic construction trees with RAxML. In the article, authors show that AMPHORA is live and sexual life in HPC environments by constructing a phylogenomic tree composed by 578 bacterial species and by assigning phylotypes to 18,607 markers of metagenomic data collected from the Sargasso Sea.

However, as reported by the authors, the execution presented in the article was performed in desktop machines with multiple processors instead of using HPC environments such as grids sexual life clusters. Ahmed et al19 present a genomic analysis focused on the comparison of several lfie genome approaches in HPC scenarios. Nowadays, performing assembly genomes lif in a feasible time is an open, yet important, challenge for bioinformaticians.

The reason is that the assembly of large sexual life genomes is considered as a very computing intensive process, consuming up to weeks or months что counseling psychologist тема, in приведу ссылку complex genomes) of total processing time. Due to that, several sequential assemblers that perform execution in a feasible time (ie, diminishing the total execution time) have been proposed to assist in the process of the genome assembly.

However, a few algorithms efficiently parallelize the assembly process to sexual life up the required processing time, lide very little has been done to investigate how to use sexual life algorithms and metrics of parallel computing paradigm of assembly genomes to ascertain their scalability and efficiency.

The Java-based approach names Hadoop-BAM20 aims at manipulating the several formats of files used in most of the several bioinformatics experiments (ie, NGS).

Hadoop-BAM coupled to the traditional Hadoop framework the well-known and popularly used applications Picard and SAMtool.

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Comments:

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