rHAT: fast alignment of noisy long reads with regional hashing | Zendy

Bo Liu | Zendy; Dengfeng Guan | Zendy; Mingxiang Teng | Zendy; Yadong Wang | Zendy

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rHAT: fast alignment of noisy long reads with regional hashing

Author(s) -

Bo Liu,

Dengfeng Guan,

Mingxiang Teng,

Yadong Wang

Publication year - 2015

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btv662

Subject(s) - computer science , hash function , bottleneck , hash table , source code , theoretical computer science , data mining , computational biology , algorithm , biology , programming language , embedded system

Single Molecule Real-Time (SMRT) sequencing has been widely applied in cutting-edge genomic studies. However, it is still an expensive task to align the noisy long SMRT reads to reference genome by state-of-the-art aligners, which is becoming a bottleneck in applications with SMRT sequencing. Novel approach is on demand for improving the efficiency and effectiveness of SMRT read alignment.

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