A hybrid short read mapping accelerator

• المؤلفون الرئيسيون: Chen, Yupeng, Schmidt, Bertil, Maskell, Douglas Leslie
• مؤلفون آخرون: School of Computer Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering::Computer science and engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/79483; http://hdl.handle.net/10220/10983
• المؤسسة: 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...