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In this paper we describe E-miR, a perl-based miRNA sequence data analysis pipeline that combines all individual data handling steps.
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When taken together, these three metrics offer a profile of the validity of each data handling step.
A detailed methodological description of the systems biology procedures and protocols to study of drug effects with details on experimental design, omics data handling and a step-by-step protocol for using MetaDrug™ (GeneGo, Inc).
Data processing for Smart Cities become more challenging, facing with different handling steps: data collection from different heterogeneous sources, processing sometimes in real-time and then delivered to high level services or applications used in Smart Cities.
However, the mechanisms of committing errors in those systems are not fully understood, thus limiting further discussion on development of data-handling steps that may help to reduce the occurrence of errors.
Figure 3 shows key steps in data handling processes.
Fig. 3 Key steps in data handling processes in Lukač et al. approach (2013).
Data extraction was done by one of the authors who was not involved in the management of any of the patients and de-linked the deceased patients' information to ensure data anonymity in the subsequent steps of data handling.
Marker selection is the most important step in data handling.
Quality of data can be compromised in each step of data handling such as case identification, data transmission, data processing and data analysis.
Throughout the study, all contact between the sites and the sponsor went through the research organization to avoid bias in the delivery of routine care, and quality control was applied to each step of data handling, ensuring the correctness of all data, specifically regarding safety reporting.
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