Empirical estimation of the reliability of ribosomal RNA alignments.
Author(s) -
Elizabeth O’Brien,
Desmond G. Higgins
Publication year - 1998
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/14.10.830
Subject(s) - computer science , reliability (semiconductor) , sequence (biology) , multiple sequence alignment , ribosomal rna , position (finance) , fidelity , alignment free sequence analysis , data mining , sequence alignment , computational biology , algorithm , artificial intelligence , genetics , biology , gene , physics , telecommunications , power (physics) , finance , quantum mechanics , economics , peptide sequence
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.
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