DNA reference alignment benchmarks based on tertiary structure of encoded proteins

Hyrum Carroll, Wesley Beckstead, Timothy O'Connor, Mark Ebbert, Mark Clement, Quinn Snell, David Mcclellan

Research output: Contribution to journalArticlepeer-review

48 Scopus citations

Abstract

Motivation: Multiple sequence alignments (MSAs) are at the heart of bioinformatics analysis. Recently, a number of multiple protein sequence alignment benchmarks (i.e. BAliBASE, OXBench, PREFAB and SMART) have been released to evaluate new and existing MSA applications. These databases have been well received by researchers and help to quantitatively evaluate MSA programs on protein sequences. Unfortunately, analogous DNA benchmarks are not available, making evaluation of MSA programs difficult for DNA sequences. Results: This work presents the first known multiple DNA sequence alignment benchmarks that are (1) comprised of protein-coding portions of DNA (2) based on biological features such as the tertiary structure of encoded proteins. These reference DNA databases contain a total of 3545 alignments, comprising of 68 581 sequences. Two versions of the database are available: mdsa_100s and mdsa_all. The mdsa_100s version contains the alignments of the data sets that TBLASTN found 100% sequence identity for each sequence. The mdsa_all version includes all hits with an E-value score above the threshold of 0.001. A primary use of these databases is to benchmark the performance of MSA applications on DNA data sets. The first such case study is included in the Supplementary Material.

Original languageEnglish
Pages (from-to)2648-2649
Number of pages2
JournalBioinformatics
Volume23
Issue number19
DOIs
StatePublished - Oct 1 2007

Bibliographical note

Funding Information:
We would like to thank Keith Crandall for his review and critiques of this work. This material is based upon work supported by the National Science Foundation under Grant No. 0120718.

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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