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Algorithms for next-generation sequencing / Wing-Kin Sung
Boca Raton : CRC Press, 2017
347 pages. : illustrations ; 23 cm.
Ký hiệu phân loại (DDC): 570.285
Advances in sequencing technology have allowed scientists to study the human genome in greater depth and on a larger scale than ever before - as many as hundreds of millions of short reads in the course of a few days. But what are the best ways to deal with this flood of data? Algorithms for Next-Generation Sequencing is an invaluable tool for students and researchers in bioinformatics and computational biology, biologists seeking to process and manage the data generated by next-generation sequencing, and as a textbook or a self-study resource. In addition to offering an in-depth description of the algorithms for processing sequencing data, it also presents useful case studies describing the applications of this technology
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Genetic algorithms in search, optimization, and machine learning / David E. Goldberg
Mass. : Addison-Wesley, Reading, 1989
xiii, 412 pages. : illustrations
Ký hiệu phân loại (DDC): 006.31
This text introduces the theory, operation, and application of genetic algorithms- search algorithms based on the mechanics of natural selection and genetics. Although genetic algorithms are already considered to be an important methodology in the development of search and machine-learning methods, only recently have they received attention in other research and industrial circles
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