Uncertainty in homology inferences: Assessing and improving genomic sequence alignment
نویسندگان
چکیده
منابع مشابه
Uncertainty in homology inferences: assessing and improving genomic sequence alignment.
Sequence alignment underpins all of comparative genomics, yet it remains an incompletely solved problem. In particular, the statistical uncertainty within inferred alignments is often disregarded, while parametric or phylogenetic inferences are considered meaningless without confidence estimates. Here, we report on a theoretical and simulation study of pairwise alignments of genomic DNA at huma...
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We present a profile-profile multiple alignment strategy that uses database searching to collect homologues for each sequence in a given set, in order to enrich their available evolutionary information for the alignment. For each of the alignment sequences, the putative homologous sequences that score above a pre-defined threshold are incorporated into a position-specific pre-alignment profile....
متن کاملMolecular Homology and Sequence Alignment
Phylogenetic analysis depends crucially on the data underlying the analysis, with issues of data quality being but one aspect of the problem. A second, slightly less appreciated aspect is that of data comparability and specifically the evolutionary homology (= derivation from a common shared ancestry) of the individual characters being examined. The goal of sequence alignment is to establish th...
متن کاملAlignment uncertainty and genomic analysis.
The statistical methods applied to the analysis of genomic data do not account for uncertainty in the sequence alignment. Indeed, the alignment is treated as an observation, and all of the subsequent inferences depend on the alignment being correct. This may not have been too problematic for many phylogenetic studies, in which the gene is carefully chosen for, among other things, ease of alignm...
متن کاملExon discovery by genomic sequence alignment
MOTIVATION During evolution, functional regions in genomic sequences tend to be more highly conserved than randomly mutating 'junk DNA' so local sequence similarity often indicates biological functionality. This fact can be used to identify functional elements in large eukaryotic DNA sequences by cross-species sequence comparison. In recent years, several gene-prediction methods have been propo...
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ژورنال
عنوان ژورنال: Genome Research
سال: 2008
ISSN: 1088-9051
DOI: 10.1101/gr.6725608