deML: robust demultiplexing of Illumina sequences using a likelihood-based approach
Author(s) -
Gabriel Renaud,
Udo Stenzel,
Tomislav Maričić,
Victor Wiebe,
Janet Kelso
Publication year - 2014
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/btu719
Subject(s) - pooling , quality score , multiplexing , computer science , sample (material) , set (abstract data type) , illumina dye sequencing , index (typography) , software , dna sequencing , sequence (biology) , data mining , computational biology , algorithm , biology , genetics , artificial intelligence , dna , metric (unit) , engineering , telecommunications , operations management , chemistry , chromatography , world wide web , programming language
Pooling multiple samples increases the efficiency and lowers the cost of DNA sequencing. One approach to multiplexing is to use short DNA indices to uniquely identify each sample. After sequencing, reads must be assigned in silico to the sample of origin, a process referred to as demultiplexing. Demultiplexing software typically identifies the sample of origin using a fixed number of mismatches between the read index and a reference index set. This approach may fail or misassign reads when the sequencing quality of the indices is poor.
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