A hybrid short read mapping accelerator

• Main Authors: Chen, Yupeng, Schmidt, Bertil, Maskell, Douglas Leslie
• Other Authors: School of Computer Engineering
• Format: Article
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/79483; http://hdl.handle.net/10220/10983
• Institution: Nanyang Technological University

Background The rapid growth of short read datasets poses a new challenge to the short read mapping problem in terms of sensitivity and execution speed. Existing methods often use a restrictive error model for computing the alignments to improve speed, whereas more flexible error models are generall...