Open AccessCorrecting errors in short reads by multiple alignments
Author(s) -
Leena Salmela,
Jan Schröder
Publication year - 2011
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/btr170
Subject(s) - computer science , error detection and correction , dna sequencing , deep sequencing , word error rate , hybrid genome assembly , reference genome , computational biology , data mining , genome , algorithm , biology , artificial intelligence , genetics , dna , gene
Current sequencing technologies produce a large number of erroneous reads. The sequencing errors present a major challenge in utilizing the data in de novo sequencing projects as assemblers have difficulties in dealing with errors.
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