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Related Concept Videos

Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.
Ribosome Profiling02:24

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...
Accuracy and Precision01:52

Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.  Highly accurate measurements...
Accuracy and Precision01:52

Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.  Highly accurate measurements...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...

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Profiling DNA Replication Timing Using Zebrafish as an In Vivo Model System
10:17

Profiling DNA Replication Timing Using Zebrafish as an In Vivo Model System

Published on: April 30, 2018

Imprecision profiling.

William A Sadler1

  • 1Nuclear Medicine Department, Christchurch Hospital, New Zealand. bill.sadler@xtra.co.nz

The Clinical Biochemist. Reviews
|October 15, 2008
PubMed
Summary
This summary is machine-generated.

Imprecision profiles graphically summarize assay precision across concentrations. This method simplifies complex data and integrates diverse quality control (QC) datasets, enhancing analytical performance evaluation.

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Area of Science:

  • Analytical Chemistry
  • Laboratory Medicine
  • Biostatistics

Background:

  • Assay precision is crucial for reliable diagnostic and research results.
  • Existing methods for assessing precision can be complex and data-intensive.
  • Standardized comparison of data from various sources (e.g., method evaluation, QC) is challenging.

Purpose of the Study:

  • To introduce and explain the utility of imprecision profiles.
  • To highlight the flexibility of imprecision profiles in handling diverse data structures.
  • To demonstrate the broad applicability of imprecision profiles beyond immunoassays.

Main Methods:

  • Imprecision profiles are graphical representations of assay precision.
  • Estimation involves analyzing precision across a range of analyte concentrations.
  • The method accommodates both structured and unstructured data sources.

Main Results:

  • Imprecision profiles provide an easily interpretable summary of assay performance.
  • The approach facilitates the integration of internal quality control (QC) data with method evaluation data.
  • The methodology is adaptable to various measurement systems where precision varies with concentration.

Conclusions:

  • Imprecision profiles offer a powerful tool for visualizing and understanding assay precision.
  • Their data flexibility enhances the integration and comparison of quality assurance data.
  • The application of imprecision profiles can be extended to diverse analytical measurement systems.