1996
DOI: 10.1093/nar/24.19.3836
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Searching databases of conserved sequence regions by aligning protein multiple-alignments [published erratum appears in Nucleic Acids Res 1996 Nov 1;24(21):4372]

Abstract: A general searching method for comparing multiple sequence alignments was developed to detect sequence relationships between conserved protein regions. Multiple alignments are treated as sequences of amino acid distributions and aligned by comparing pairs of such distributions. Four different comparison measures were tested and the Pearson correlation coefficient chosen. The method is sensitive, detecting weak sequence relationships between protein families. Relationships are detected beyond the range of conve… Show more

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Cited by 213 publications
(198 citation statements)
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“…Pairs of ungapped alignment blocks were compared for establishing the significance of their similarities using LAMA [16]. This method allows estimation of the number of blocks (E &!!! )…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Pairs of ungapped alignment blocks were compared for establishing the significance of their similarities using LAMA [16]. This method allows estimation of the number of blocks (E &!!! )…”
Section: Methodsmentioning
confidence: 99%
“…Groups I and II CUE domains were found to be significantly similar when compared using local alignment of multiple alignments (LAMA) [16] …”
Section: Cue1pmentioning
confidence: 99%
“…Therefore, using the newly discovered group of 12 clarin sequences, we defined novel clarin-specific Blocks motifs. These were subsequently analysed by the Local Alignment of Multiple Alignments (LAMA) method, 46 looking for remote but statistically significant similarities between the clarin Blocks and all others. Two of the clarin Blocks, in and around the first and fourth putative TM domains generated a hit with two of the 4TM proteins Blocks ( Figure 3B,C).…”
Section: Gene Product and Protein Structurementioning
confidence: 99%
“…Previous approaches for quantifying PFM similarity include: the average log likelihood ratio method proposed by Wang and Stormo (2003), the Pearson correlation coefficient method described by Pietrokovski (1996) and Hughes et al (2000), and a method recently introduced by .…”
Section: Introductionmentioning
confidence: 99%