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Bioinformatics, Vol 14, 830-838, Copyright © 1998 by Oxford University Press

ARTICLES

Empirical estimation of the reliability of ribosomal RNA alignments

EA O'Brien and DG Higgins
Department of Biochemistry, University College, Cork, Ireland. emmet@chah.ucc.ie

MOTIVATION: The automatic alignment of rRNA sequences can reproduce manual expert alignments with high, but not perfect, fidelity. We examine the use of empirical methods for the identification of regions of an alignment of a new sequence with an existing large alignment which can confidently be predicted to be correctly aligned. RESULTS: We show how to use a simple jack-knife procedure to derive an estimate of the reliability that is to be expected at each position of a large alignment of eukaryotic rRNA sequences. These reliabilities are then improved using measures that are specific to the input sequence. Regions where the sequence-specific reliability method performs particularly well are identified and seen to correspond with elements in the structure of the rRNA molecules that vary between species in the alignment. We also compare these reliability measures to an algorithmic alignment stability measure. AVAILABILITY: The software is available free of charge by sending an e-mail message to emmet@chah.ucc.ie. CONTACT: emmet@chah.ucc.ie
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Home page
 Mol Biol EvolHome page
G. Landan and D. Graur
Heads or Tails: A Simple Reliability Check for Multiple Sequence Alignments
Mol. Biol. Evol., June 1, 2007; 24(6): 1380 - 1383.
[Abstract] [Full Text] [PDF]


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