scholarly journals Combinatorial pattern discovery in biological sequences: The TEIRESIAS algorithm [published erratum appears in Bioinformatics 1998;14(2):229]

1998 ◽  
Vol 14 (1) ◽  
pp. 55-67 ◽  
Author(s):  
I. Rigoutsos ◽  
A. Floratos
Keyword(s):  
Pattern Discovery ◽  
Biological Sequences ◽  
Combinatorial Pattern

scholarly journals A combinatorial pattern discovery approach for the prediction of membrane dipping (re-entrant) loops

2006 ◽  
Vol 22 (14) ◽  
pp. e290-e297 ◽  
Author(s):  
G. Lasso ◽  
J. F. Antoniw ◽  
J. G.L. Mullins
Keyword(s):  
Pattern Discovery ◽  
Combinatorial Pattern

Pattern Discovery in Biosequences

2011 ◽  
pp. 85-105 ◽  
Author(s):  
Simona Este Rombo ◽  
Luigi Palopoli
Keyword(s):  
Pattern Discovery ◽  
Protein Sequences ◽  
Biological Data ◽  
Data Sets ◽  
Biological Sequences ◽  
Biological Functions ◽  
Pattern Extraction ◽  
New Methods

In the last years, the information stored in biological data-sets grew up exponentially, and new methods and tools have been proposed to interpret and retrieve useful information from such data. Most biological data-sets contain biological sequences (e.g., DNA and protein sequences). Thus, it is much significant to have techniques available capable of mining patterns from such sequences to discover interesting information from them. For instance, singling out for common or similar sub-sequences in sets of bio-sequences is sensible as these are usually associated to similar biological functions expressed by the corresponding macromolecules. The aim of this chapter is to explain how pattern discovery can be applied to deal with such important biological problems, describing also a number of relevant techniques proposed in the literature. A simple formalization of the problem is given and specialized for each of the presented approaches. Such a formalization should ease reading and understanding the illustrated material by providing a simple-to-follow roadmap scheme through the diverse methods for pattern extraction we are going to illustrate.

Combinatorial pattern discovery for scientific data

1994 ◽  
Vol 23 (2) ◽  
pp. 115-125 ◽  
Author(s):  
Jason Tsong-Li Wang ◽  
Gung-Wei Chirn ◽  
Thomas G. Marr ◽  
Bruce Shapiro ◽  
Dennis Shasha ◽  
...  
Keyword(s):  
Pattern Discovery ◽  
Scientific Data ◽  
Combinatorial Pattern

Combinatorial pattern discovery for scientific data

1994 ◽  
Author(s):  
Jason Tsong-Li Wang ◽  
Gung-Wei Chirn ◽  
Thomas G. Marr ◽  
Bruce Shapiro ◽  
Dennis Shasha ◽  
...  
Keyword(s):  
Pattern Discovery ◽  
Scientific Data ◽  
Combinatorial Pattern

A parallel algorithm for pattern discovery in biological sequences

2002 ◽  
Vol 18 (6) ◽  
pp. 849-854 ◽  
Author(s):  
Giancarlo Mauri ◽  
Giulio Pavesi
Keyword(s):  
Parallel Algorithm ◽  
Pattern Discovery ◽  
Biological Sequences

A Brief Review on Software Tools in Generating Chou’s Pseudo-factor Representations for All Types of Biological Sequences

2018 ◽  
Vol 25 (9) ◽  
pp. 822-829 ◽  
Author(s):  
Wei Zhao ◽  
Likun Wang ◽  
Tian-Xiang Zhang ◽  
Ze-Ning Zhao ◽  
Pu-Feng Du
Keyword(s):  
Software Tools ◽  
Biological Sequences
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