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Related Concept Videos

Quality Control01:05

Quality Control

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Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
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Histone Variants at the Centromere02:30

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Histone variants are the histone proteins with structural and sequence variations. These variants may be regarded as “mutant” forms that replace their canonical histone counterparts in the nucleosomes. Specific post-translational modifications on the histone variants enable further chromatin complexity and regulate tissue-specific gene expression. The most common histone variants are from histone H2A, H2B, and linker histone H1 families. However, several variants of histone H3...
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Data Reporting and Recording

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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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Quality of Water01:19

Quality of Water

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In concrete preparation, the quality of water is paramount as it affects the strength and durability of the concrete. Potable water is usually preferred; however, it must not have excessive sodium or potassium to prevent compromising the concrete's integrity. Water quality is typically evaluated based on impurities such as dissolved solids, chlorides, and sulfates, and its pH value is ideally between 6 and 8. Even slightly acidic natural water may be acceptable unless it contains harmful...
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Quality Assurance01:19

Quality Assurance

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Quality assurance is the overarching term used to describe the activities employed to ensure the proper performance of a system. These activities can be classified into three categories: quality control, quality assessment, and internal corrective measures. Typically, these activities work cyclically: quality control is performed before and during the analysis, while quality assessment occurs during and after the investigation. Internal corrective measures are implemented based on the findings...
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Types of Reports I: Hands-off Report

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A hand-off report, also known as a change-of-shift report, is a crucial nursing process that ensures the smooth transition of patient care responsibilities between nursing staff.
Following are the key components and categories of hand-off reports:
Purpose and Process:
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Studying the Protein Quality Control System of D. discoideum Using Temperature-controlled Live Cell Imaging
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VariantQC: a visual quality control report for variant evaluation.

Melissa Y Yan1, Betsy Ferguson1,2,3, Benjamin N Bimber1,4

  • 1Division of Genetics, Beaverton, OR, USA.

Bioinformatics (Oxford, England)
|July 17, 2019
PubMed
Summary
This summary is machine-generated.

VariantQC provides an interactive visual report for quality control of large genomic datasets. This tool summarizes variant and genotype data from variant call format (VCF) files, simplifying analysis and flagging outliers.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Large-scale genomic studies generate massive sequence variant datasets.
  • Manual inspection of millions of variants is impractical for quality control.
  • Variant call format (VCF) files are standard but challenging to summarize.

Purpose of the Study:

  • To develop a user-friendly, interactive visual tool for quality control (QC) of variant data.
  • To generate concise summary statistics from VCF files for easier interpretation.
  • To facilitate high-level dataset summarization and outlier detection.

Main Methods:

  • Developed VariantQC, a Java-based program for generating visual QC reports.
  • The tool processes variant call format (VCF) files.
  • Summarizes variant data aggregated by dataset, chromosome, sample, and filter type.

Main Results:

  • VariantQC generates interactive visual reports summarizing variant and genotype data.
  • The reports provide concise statistics for quality control.
  • The tool effectively aggregates and summarizes variants for analysis.

Conclusions:

  • VariantQC simplifies the quality control process for large genomic datasets.
  • The interactive visual reports aid in identifying outliers and ensuring data accuracy.
  • VariantQC integrates seamlessly into existing variant analysis pipelines.