MOTIVATION: Mathematically optimal alignments do not always properly align active site residues or well-recognized structural elements. Most near-optimal sequence alignment algorithms display alternative alignment paths, rather than the conventional residue-by-residue pairwise alignment. Typically, these methods do not provide mechanisms for finding effectively the most biologically meaningful alignment in the potentially large set of options. RESULTS: We have developed Web-based software that displays near optimal or alternative alignments of two protein or DNA sequences as a continuous moving picture. A WWW interface to a C++ program generates near optimal alignments, which are sent to a Java Applet, which displays them in a series of alignment frames. The Applet aligns residues so that consistently aligned regions remain at a fixed position on the display, while variable regions move. The display can be stopped to examine alignment details.
MOTIVATION: Mathematically optimal alignments do not always properly align active site residues or well-recognized structural elements. Most near-optimal sequence alignment algorithms display alternative alignment paths, rather than the conventional residue-by-residue pairwise alignment. Typically, these methods do not provide mechanisms for finding effectively the most biologically meaningful alignment in the potentially large set of options. RESULTS: We have developed Web-based software that displays near optimal or alternative alignments of two protein or DNA sequences as a continuous moving picture. A WWW interface to a C++ program generates near optimal alignments, which are sent to a Java Applet, which displays them in a series of alignment frames. The Applet aligns residues so that consistently aligned regions remain at a fixed position on the display, while variable regions move. The display can be stopped to examine alignment details.
Authors: Jason E Stajich; David Block; Kris Boulez; Steven E Brenner; Stephen A Chervitz; Chris Dagdigian; Georg Fuellen; James G R Gilbert; Ian Korf; Hilmar Lapp; Heikki Lehväslaiho; Chad Matsalla; Chris J Mungall; Brian I Osborne; Matthew R Pocock; Peter Schattner; Martin Senger; Lincoln D Stein; Elia Stupka; Mark D Wilkinson; Ewan Birney Journal: Genome Res Date: 2002-10 Impact factor: 9.043
Authors: Robert L McKown; Ningning Wang; Ronald W Raab; Roy Karnati; Yinghui Zhang; Patricia B Williams; Gordon W Laurie Journal: Exp Eye Res Date: 2008-09-18 Impact factor: 3.467