Paper Info
Title
A Survey of Text Processing Tools for the Automatic Analysis of Molecular Sequences
Abstract
Automatic analysis of molecular sequences is an interdisciplinary field of science, with many analogies to the methodologies of analyses and understanding of natural languages. In both these fields the object of the study has a complex, hierarchical character, which results from natural evolution. In this paper we have presented a survey of textual processing algorithms in the aspect of their applications to molecular sequences. We have shown methods for solving problems for exact and approximate searches of patterns in texts: aligning and block aligning of molecular sequences and analyzing molecular sequences by using indexed structures and transformations. We have covered some recent developments in these fields and we have provided some examples of inferring biological knowledge by using text processing algorithms for molecular sequences.
Year
DOI
Venue
2009
10.1007/978-3-642-04735-0_15
Aspects of Natural Language Processing
Keywords
Field
DocType
approximate search,automatic analysis,molecular sequences,text processing algorithm,natural language,natural evolution,biological knowledge,molecular sequence,text processing tools,hierarchical character,textual processing algorithm,interdisciplinary field,burrows wheeler transform
Burrows–Wheeler transform,Computer science,Natural language,Artificial intelligence,Natural language processing,Text processing
Conference
Volume
ISSN
Citations 
5070
0302-9743
0
PageRank 
References 
Authors
0.34
14
3
Name
Order
Citations
PageRank
Andrzej Polański154.61
Rafal Pokrzywa211.72
Marek Kimmel314520.47