Fast and simple character classes and bounded gaps pattern matching, with applications to protein searching.
The problem of fast exact and approximate searching for a pattern that contains classes of characters and bounded size gaps (CBG) in a text has a wide range of applications, among which a very important one is protein pattern matching (for instance, one PROSITE protein site is associated with the CBG [RK] - x(2,3) - [DE] - x(2,3) - Y, where the brackets match any of the letters inside, and x(2,3) a gap of length between 2 and 3). Currently, the only way to search for a CBG in a text is to convert it into a full regular expression (RE). However, a RE is more sophisticated than a CBG, and searching for it with a RE pattern matching algorithm complicates the search and makes it slow. This is the reason why we design in this article two new practical CBG matching algorithms that are much simpler and faster than all the RE search techniques. The first one looks exactly once at each text character. The second one does not need to consider all the text characters, and hence it is usually faster than the first one, but in bad cases may have to read the same text character more than once. We then propose a criterion based on the form of the CBG to choose a priori the fastest between both. We also show how to search permitting a few mistakes in the occurrences. We performed many practical experiments using the PROSITE database, and all of them show that our algorithms are the fastest in virtually all cases.
Department of Computer Science, University of Chile, Blanco Encalada 2120, Santiago, Chile. gnavarro@dcc.uchile.cl
Gonzalo
G
Navarro
Mathieu
M
Raffinot
D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D016247:Information Storage and Retrieval; D010363:Pattern Recognition, Automated; D011506:Proteins / Q000737:chemistry* / Q000145:classification*
D011506:Proteins