词条 | ProbCons |
释义 |
AlgorithmThe following describes the basic outline of the ProbCons algorithm.[3] Step 1: Reliability of an alignment edgeFor every pair of sequences compute the probability that letters and are paired in an alignment that is generated by the model. (Where is equal to 1 if and are in the alignment and 0 otherwise.) Step 2: Maximum expected accuracyThe accuracy of an alignment with respect to another alignment is defined as the number of common aligned pairs divided by the length of the shorter sequence. Calculate expected accuracy of each sequence: This yields a maximum expected accuracy (MEA) alignment: Step 3: Probabilistic Consistency TransformationAll pairs of sequences x,y from the set of all sequences are now re-estimated using all intermediate sequences z: This step can be iterated. Step 4: Computation of guide treeConstruct a guide tree by hierarchical clustering using MEA score as sequence similarity score. Cluster similarity is defined using weighted average over pairwise sequence similarity. Step 5: Compute MSAFinally compute the MSA using progressive alignment or iterative alignment. See also
References1. ^{{cite journal |doi=10.1101/gr.2821705 |vauthors=Do CB, Mahabhashyam MS, Brudno M, Batzoglou S |year=2005 |title=PROBCONS: Probabilistic Consistency-based Multiple Sequence Alignment |journal=Genome Research |volume=15 |issue=2 |pages=330–340 |pmid=15687296 |pmc=546535}} 2. ^{{Cite book|title=Multiple Sequence Alignment Methods|volume = 1079|last=Roshan|first=Usman|date=2014-01-01|publisher=Humana Press|isbn=9781627036450|editor-last=Russell|editor-first=David J|series=Methods in Molecular Biology|pages=147–153|language=English|doi=10.1007/978-1-62703-646-7_9|pmid = 24170400|chapter = Multiple Sequence Alignment Using Probcons and Probalign}} 3. ^Lecture "Bioinformatics II" at University of Freiburg External links
2 : Bioinformatics|Computational phylogenetics |
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