By Wing-Kin Sung
Advances in sequencing expertise have allowed scientists to review the human genome in larger intensity and on a bigger scale than ever ahead of – as many as countless numbers of hundreds of thousands of brief reads during a number of days. yet what are the easiest how you can care for this flood of data?
Algorithms for Next-Generation Sequencing is a useful instrument for college students and researchers in bioinformatics and computational biology, biologists trying to method and deal with the knowledge generated through next-generation sequencing, and as a textbook or a self-study source. as well as supplying an in-depth description of the algorithms for processing sequencing facts, it additionally provides invaluable case reviews describing the functions of this technology.
Read Online or Download Algorithms for Next-Generation Sequencing (Chapman & Hall/CRC Mathematical and Computational Biology) PDF
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Additional resources for Algorithms for Next-Generation Sequencing (Chapman & Hall/CRC Mathematical and Computational Biology)
Algorithms for Next-Generation Sequencing (Chapman & Hall/CRC Mathematical and Computational Biology) by Wing-Kin Sung