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» New journal: Algorithms for Molecular Biology
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CSB
2005
IEEE
206views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Bioinformatic Insights from Metagenomics through Visualization
Cutting-edge biological and bioinformatics research seeks a systems perspective through the analysis of multiple types of high-throughput and other experimental data for the same ...
Susan L. Havre, Bobbie-Jo M. Webb-Robertson, Anuj ...
TCS
2008
13 years 7 months ago
Algorithms for computing variants of the longest common subsequence problem
The longest common subsequence(LCS) problem is one of the classical and wellstudied problems in computer science. The computation of the LCS is a frequent task in DNA sequence ana...
Costas S. Iliopoulos, M. Sohel Rahman
BMCBI
2005
84views more  BMCBI 2005»
13 years 7 months ago
Information theory-based algorithm for in silico prediction of PCR products with whole genomic sequences as templates
Background: A new algorithm for assessing similarity between primer and template has been developed based on the hypothesis that annealing of primer to template is an information ...
Youfang Cao, Lianjie Wang, Kexue Xu, Chunhai Kou, ...
BMCBI
2007
128views more  BMCBI 2007»
13 years 7 months ago
A robust and efficient algorithm for the shape description of protein structures and its application in predicting ligand bindin
Background: An accurate description of protein shape derived from protein structure is necessary to establish an understanding of protein-ligand interactions, which in turn will l...
Lei Xie, Philip E. Bourne
ECAI
2004
Springer
14 years 26 days ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana