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» Constraint Based Methods for Biological Sequence Analysis
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ISMB
1993
13 years 10 months ago
Discovering Sequence Similarity by the Algorithmic Significance Method
The minimal-length encoding approach is applied to define concept of sequence similarity. Asequence is defined to be similar to another sequence or to a set of keywords if it can ...
Aleksandar Milosavljevic
DILS
2006
Springer
14 years 7 days ago
A Method for Similarity-Based Grouping of Biological Data
Similarity-based grouping of data entries in one or more data sources is a task underlying many different data management tasks, such as, structuring search results, removal of red...
Vaida Jakoniene, David Rundqvist, Patrick Lambrix
BMCBI
2006
161views more  BMCBI 2006»
13 years 8 months ago
A method for rapid similarity analysis of RNA secondary structures
Background: Owing to the rapid expansion of RNA structure databases in recent years, efficient methods for structure comparison are in demand for function prediction and evolution...
Na Liu, Tianming Wang
BMCBI
2008
128views more  BMCBI 2008»
13 years 8 months ago
Finding sequence motifs with Bayesian models incorporating positional information: an application to transcription factor bindin
Background: Biologically active sequence motifs often have positional preferences with respect to a genomic landmark. For example, many known transcription factor binding sites (T...
Nak-Kyeong Kim, Kannan Tharakaraman, Leonardo Mari...
BMCBI
2010
147views more  BMCBI 2010»
13 years 8 months ago
Automatic detection of anchor points for multiple sequence alignment
Background: Determining beforehand specific positions to align (anchor points) has proved valuable for the accuracy of automated multiple sequence alignment (MSA) software. This f...
Florian Pitschi, Claudine Devauchelle, Eduardo Cor...