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PANDAseq: paired-end assembler for illumina sequences

2012· article· en· 2,221 citations· W2132548846 on OpenAlex· 10.1186/1471-2105-13-31

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Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.
Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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Opus teacher head0.039
GPT teacher head0.264
Teacher spread
0.224 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

BACKGROUND: Illumina paired-end reads are used to analyse microbial communities by targeting amplicons of the 16S rRNA gene. Publicly available tools are needed to assemble overlapping paired-end reads while correcting mismatches and uncalled bases; many errors could be corrected to obtain higher sequence yields using quality information. RESULTS: PANDAseq assembles paired-end reads rapidly and with the correction of most errors. Uncertain error corrections come from reads with many low-quality bases identified by upstream processing. Benchmarks were done using real error masks on simulated data, a pure source template, and a pooled template of genomic DNA from known organisms. PANDAseq assembled reads more rapidly and with reduced error incorporation compared to alternative methods. CONCLUSIONS: PANDAseq rapidly assembles sequences and scales to billions of paired-end reads. Assembly of control libraries showed a 4-50% increase in the number of assembled sequences over naïve assembly with negligible loss of "good" sequence.

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The record

Venue
BMC Bioinformatics
Topic
Microbial Community Ecology and Physiology
Field
Environmental Science
Canadian institutions
University of Waterloo
Funders
Natural Sciences and Engineering Research Council of CanadaGovernment of Ontario
Keywords
AmpliconComputer scienceSequence (biology)Error detection and correctionk-merAmplicon sequencingSequence assemblyComputational biologyDNA sequencingBiologyGeneticsAlgorithmDNA16S ribosomal RNAPolymerase chain reactionGene
Has abstract in OpenAlex
yes