منابع مشابه
Quantitative Real-time PCR Analysis
The sensitivity of analysis achievable with PCR has led to the technology being adopted across a range of sectors. For many applications a quantitative result is required, which has driven the development of a range of strategies to determine the amount of starting material in a sample. Approaches such as competitive PCR and limiting dilution analysis have been used as routes to quantification,...
متن کاملEvaluation of real-time PCR data.
If real-time PCR is to be of much worth to its user, some idea regarding the reliability of its data is essential. We discuss here some of the problems associated with interpreting numerical real-time PCR data that lend themselves to analytical evaluation. We translate into the language of molecular biology some of the criteria which are used to evaluate the performance of any new method (linea...
متن کاملReal-Time Algorithms for Statistical Analysis of Interval Data
When we have only interval ranges [xi; xi] of sample values x1; : : : ; xn, what is the interval [V ; V ] of possible values for the variance V of these values? There are quadratic time algorithms for computing the exact lower bound V on the variance of interval data, and for computing V under reasonable easily verifiable conditions. The problem is that in real life, we often make additional me...
متن کاملStatistical aspects of quantitative real-time PCR experiment design.
Experiments using quantitative real-time PCR to test hypotheses are limited by technical and biological variability; we seek to minimise sources of confounding variability through optimum use of biological and technical replicates. The quality of an experiment design is commonly assessed by calculating its prospective power. Such calculations rely on knowledge of the expected variances of the m...
متن کاملEnhanced analysis of real-time PCR data by using a variable efficiency model: FPK-PCR
Current methodology in real-time Polymerase chain reaction (PCR) analysis performs well provided PCR efficiency remains constant over reactions. Yet, small changes in efficiency can lead to large quantification errors. Particularly in biological samples, the possible presence of inhibitors forms a challenge. We present a new approach to single reaction efficiency calculation, called Full Proces...
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ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2006
ISSN: 1471-2105
DOI: 10.1186/1471-2105-7-85