Genome Sequencing Technology and Algorithms

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From a who's whoù 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.

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Author Sun Kim, Haixu Tang and Elaine R. Mardis
About Author
  • Sun Kim Sun Kim is associate professor and associate director of bioinformatics at Indiana University's Center for Genomics and Bioinformatics. Prior to IU, he worked at DuPont Central Research as Senior Computer Scientist and at the University of Illinois as Director of Bioinformatics. Dr. Kim earned his Ph.D. in Computer Science at the University of Iowa.
  • Elaine R. Mardis Elaine R. Mardis is associate professor at Washington University School of Medicine, St. Louis, and co-director of the university's Genome Sequencing Center where she leads the Technology Development group. She received her Ph.D. in biochemistry from the University of Oklahoma.
  • Haixu Tang 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.
Content

No

ISBN 10 Digit No
ISBN 13 Digit 9781596930940
Pages 272
Binding Hardback
Year of Publication 2007
Edition of Book 1
Language English
Illustrations No
About Book Yes

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