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Impact of Amplification Efficiency on TL Measurement via qPCR

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NIAID Data Ecosystem2026-03-12 收录
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https://figshare.com/articles/dataset/Impact_of_Amplification_Efficiency_on_TL_Measurement_via_qPCR/13872683
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Comparison of methods to calculate telomere length (TL). In this project we compared how amplification efficiency estimates derived from the Rotor-Gene Q rotary thermocylcer instrument compared to those generated using LinRegPCR. Furthermore, we compared how resulting T/S ratios calculated using these different approaches compared in their performance with external validity metrics. Replicate level dataset hosts Ct values, T and S estimates, and related metrics of these values such as standard deviation and coefficient of variation across replicate reactions. Sample level dataset contains T/S ratios generated from summarized results in replicate level dataset. Each row contains the T/S ratio of a given individual at a given time point. Some rows also contain paired T/S ratios from blood and buccal samples that were collected at the same time point for cross tissue comparisons. Plate level dataset contains efficiency estimates for the various approaches utilized in the manuscript text. These include efficiencies estimated by the RotorGene Q standard curve, LinRegPCR log-linear reconstruction, and LinRegPCR standard curve. Matched dataset contains T/S ratios of individuals nested by family ID for up to three generations within a family. Each row contains a parent-offspring pair. In some cases a single parent is represented on more than one row as some parents had multiple offspring. Together these datasets comprise all the data used to generate the findings reported in the publication linked below.
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2021-06-23
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