Wing-Kin Sung

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.

Algorithms for Next-Generation Sequencing

Kunihiko Sadakane

M. Sohel Rahman

This book constitutes the refereed proceedings of the 14th International Conference on Algorithms and Computation, WALCOM 2020, held in Singapore in March/April 2020. The 23 full and 4 short papers presented were carefully reviewed and selected from 66 submissions. The papers focus on algorithmic graph theory and combinatorics, computational biology, computational geometry, data structures, experimental algorithm methodologies, graph algorithms, graph drawing, parallel and distributed algorithms, network optimization.

14th International Conference, WALCOM 2020, Singapore, Singapore, March 31 – April 2, 2020, Proceedings

WALCOM: Algorithms and Computation

Ryuhei Uehara

This book constitutes the proceedings of the 12th International Workshop on Algorithms and Computation, WALCOM 2018, held in Dhaka, Bangladesh, in March 2018. The 22 full papers presented were carefully reviewed and selected from 50 submissions. The papers cover diverse areas of algorithms and computation, such as approximation algorithms, computational geometry, combinatorial algorithms, computational biology, computational complexity, data structures, graph and network algorithms, and online algorithms.

Wing-Kin Sung

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