![]() ![]() You can also sort primers by making the program display the sense and antisense primer, and product on the basis of rating, position, length, Tm, and others. The results can be exported to XLS file format. It is possible to select the items that should be included in the final results report for beacons and primers, such as quality, position, length, and others. The program allows users to generate different beacons and primers, and you can save the data as projects. It provides accurate hairpin Tm calculation, and is able to display a graphical view of the designed beacons. ![]() Moreover, Beacon Designer can create molecular beacons for detection of wild and mutant alleles, and design beacons and primers for multiplex reactions. ![]() It bundles an automatic adjustment feature that can help you select the stem of appropriate length for creating an optimal beacon. There are several designs available and you can opt for a beacon, FRET, HRMA, MethyLight TaqMan, Scorpions, SYBR or TaqMan. The user interface may seem a bit overwhelming at a first glance, but this is only because this tool packs so many useful options. This application comes packed with all the necessary features that you’d expect to find in any professional software solution that deals with such a task. He is a founding member of the Applied Science Department and former Graduate Director and Department Chair.Beacon Designer is an application that can help you design PCR primes, usually used by molecular biologists in their studies. He and his students are studying the interactions of acoustic, ultrasonic, elastic, thermal, electromagnetic and optical waves with various materials, tissues and structures. Professor Hinders is currently conducting research in wave propagation and scattering phenomena as applied to medical imaging, intelligent robotics, security screening, remote sensing and nondestructive evaluation. Before that he was an Electromagnetics Research Engineer at USAF Rome Laboratory located at Hanscom AFB, MA. Before coming to Williamsburg in 1993, Professor Hinders served as a Senior Scientist at Massachusetts Technological Laboratory, Inc., and as a Research Assistant Professor at Boston University. Hinders holds BS, MS and PhD degrees in Aerospace and Mechanical Engineering from Boston University, and is currently a Professor of Applied Science at the College of William & Mary in Virginia. Given its scope, the book will be of interest to practitioners, engineers and researchers seeking to leverage the latest advances in machine learning in order to develop solutions to practical problems in structural health monitoring, medical imaging, autonomous vehicles, wireless technology, and historical conservation. Theses chapters are presented in such a way that they can be read on their own, depending on the reader’s area of interest, or read together to provide a comprehensive overview of the topic. It then progresses through six technical chapters, applying the methods discussed to particular real-world problems. ![]() Intelligent Feature Selection for Machine Learning using the Dynamic Wavelet Fingerprint begins by providing background information on machine learning and the wavelet fingerprint technique. Whether for medical imaging or structural health monitoring, it develops analysis techniques and measurement technologies for the quantitative characterization of materials, tissues and structures by non-invasive means. This book discusses various applications of machine learning using a new approach, the dynamic wavelet fingerprint technique, to identify features for machine learning and pattern classification in time-domain signals. ![]()
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