Experimental Design: A Useful Tool for PCR Optimization
Author(s) -
M. D. Boleda,
P. Briones,
Jaume Farrés,
Linda Tyfield,
Ramón Pi
Publication year - 1996
Publication title -
biotechniques
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.617
H-Index - 131
eISSN - 1940-9818
pISSN - 0736-6205
DOI - 10.2144/96211rr05
Subject(s) - fractional factorial design , design of experiments , factorial experiment , central composite design , yield (engineering) , polymerase chain reaction , computer science , biochemical engineering , system optimization , computational biology , dna , biological system , biology , mathematics , mathematical optimization , response surface methodology , engineering , genetics , statistics , materials science , machine learning , gene , metallurgy
Because of complex interactions among the components of PCR and the wide and increasing variety of applications in which this technique is used, optimization is necessary for every reaction. Here we describe the use of experimental design techniques (2k fractional factorial design and central composite design) to attain easier, quicker and cheaper PCR optimization of DNA from blood spots. By determining the factors affecting the product yield first (factors screening), the quantity of template DNA needed for PCR and the Mg2+ concentration are easily optimized (factors optimization).
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom