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Real-time mapping of nanopore raw signals
Author(s) -
Haowen Zhang,
Haoran Li,
Chirag Jain,
Haoyu Cheng,
Kin Fai Au,
Heng Li,
Srinivas Aluru
Publication year - 2021
Publication title -
bioinformatics
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btab264
Subject(s) - computer science , nanopore , nanopore sequencing , reference genome , signal (programming language) , speedup , artificial intelligence , genome , pattern recognition (psychology) , data mining , parallel computing , biology , genetics , materials science , gene , programming language , nanotechnology
Oxford Nanopore Technologies sequencing devices support adaptive sequencing, in which undesired reads can be ejected from a pore in real time. This feature allows targeted sequencing aided by computational methods for mapping partial reads, rather than complex library preparation protocols. However, existing mapping methods either require a computationally expensive base-calling procedure before using aligners to map partial reads or work well only on small genomes.

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