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090 _aB-9898
245 1 0 _aTowards a Reliable Objective Function for Multiple Sequence Alignments
490 0 _vJournal of Molecular Biology, 314(4), p.937-951, 2001
520 3 _aMultiple sequence alignment is a fundamental tool in a number of different domains in modern molecular biology, including functional and evolutionary studies of a protein family. Multiple alignments also play an essential role in the new integrated systems for genome annotation and analysis. Thus, the development of new multiple alignment scores and statistics is essential, in the spirit of the work dedicated to the evaluation of pairwise sequence alignments for database searching techniques. We present here norMD, a new objective scoring function for multiple sequence alignments. NorMD combines the advantages of the columnscoring techniques with the sensitivity of methods incorporating residue similarity scores. In addition, norMD incorporates ab initio sequence information, such as the number, length and similarity of the sequences to be aligned. The sensitivity and reliability of the norMD objective function is demonstrated using structural alignments in the SCOP and BAliBASE databases. The norMD scores are then applied to the multiple alignments of the complete sequences (MACS)detected by BlastP with Evalue < 10, for a set of 734 hypothetical proteins encoded by the Vibrio cholerae genome. Unrelated or badly aligned sequences were automatically removed from the MACS, leaving a high-quality multiple alignment which could be reliably exploited in a subsequent functional and/or structural annotation process. After removal of unreliable sequences, 176 (24
650 1 4 _aBIOINFORMATICS
650 1 4 _aSEQUENCE ALIGNMENT
650 1 4 _aOBJECTIVE FUNCTION
650 1 4 _aALIGNMENT QUALITY ANALYSIS
650 1 4 _aGENOME ANALYSIS
700 1 2 _aThompson, J.D.
700 1 2 _aPlewniak, F.
700 1 2 _aRipp, R.
700 1 2 _aThierry, J.
700 1 2 _aPoch, O.
856 4 0 _uhttps://drive.google.com/file/d/1YAQ5PeRuOyv7w1zSld3O3PW45vq0KttV/view?usp=drivesdk
_zPara ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx
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