Items related to Genome Sequenciing Technology and Algorithms
Synopsis
From a "who's who" of pioneers in the field comes a unique resource covering the latest advances in next-generation genome sequencing and assembly. This groundbreaking book includes non-conventional techniques that are paving the way to potential new biomedical applications. You get unparalleled access to state-of-the-art DNA sequencing technologies, new algorithmic sequence assembly techniques, and emerging methods for both resequencing and de novo genome analysis which all together give you the most solid foundation possible for tackling the full range of experimental and computational challenges in the genome sciences today. This first-of-its-kind resource walks you step-by-step through new sequencing technologies involving sequencing by synthesis, nanopore sequencing, polymerase colonies, and single molecule sequencing. It then explores the latest algorithmic techniques for DNA sequence assembly and offers expert insight into assembly packages like Arachne, EULER, CAP, AMASS, and Celera. You also get coverage of emerging biotechnology-oriented approaches to the resequencing and analysis of genomes, with the latest techniques for SNP, genome rearrangement, and comparative sequencing and assembly. Moreover, the book critiques strengths and weaknesses of existing techniques and spotlights possible ways to improve them. The most comprehensive treatment of the field's frontier topics, this definitive volume will prove indispensable in your efforts to achieve more rapid and accurate DNA sequencing and to develop the next generation of high-throughput methods and devices.
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About the Author
Sun Kim is assistant professor and associate director of bioinformatics at Indiana University's Center for Genomics and Bioinformatics. Dr. Kim earned his Ph.D. in Computer Science at the University of Iowa. Elaine R. Mardis is assistant professor at Washington University School of Medicine and co-director of the university's Genome Sequencing Center. She received her Ph.D. in biochemistry from the University of Oklahoma. Haixu Tang is an assistant professor of informatics at Indiana University. He received his Ph.D. in computational biology from the Shanghai Institute of Biochemistry, China.
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