Optimization of primer-specific filter metrics for the assessment of mitochondrial DNA sequence data

Pamela C. Curtis, Jennifer L. Thomas, Nicole R. Phillips, Rhonda K. Roby

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

Filter metrics are used as a quick assessment of sequence trace files in order to sort data into different categories (i.e. high quality, review, and low quality) without human intervention. The filter metrics consist of two numerical parameters for sequence quality assessment: trace score (TS) and contiguous read length (CRL). Primer-specific settings for the TS and CRL were established using a calibration dataset of 2817 traces and validated using a concordance dataset of 5617 traces. Prior to optimization, 57% of the traces required manual review before import into a sequence analysis program, whereas after optimization only 28% of the traces required manual review. After optimization of primer-specific filter metrics for mitochondrial DNA sequence data, an overall reduction of review of trace files translates into increased throughput of data analysis and decreased time required for manual review.

Original languageEnglish
Pages (from-to)191-197
Number of pages7
JournalMitochondrial DNA
Volume21
Issue number6
DOIs
StatePublished - Dec 2010

Keywords

  • Contiguous read length
  • Expert systems
  • Filter metrics
  • Quality assessment
  • Trace score

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