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» Maximum entropy methods for biological sequence modeling
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SIBGRAPI
2008
IEEE
14 years 3 months ago
Crop Type Recognition Based on Hidden Markov Models of Plant Phenology
This work introduces a Hidden Markov Model (HMM) based technique to classify agricultural crops. The method recognizes different crops by analyzing their spectral profiles over a ...
P. B. C. Leite, Raul Queiroz Feitosa, A. R. Formag...
RECOMB
2010
Springer
14 years 4 months ago
A Novel Abundance-Based Algorithm for Binning Metagenomic Sequences Using l-Tuples
Abstract. Metagenomics is the study of microbial communities sampled directly from their natural environment, without prior culturing. Among the computational tools recently develo...
Yu-Wei Wu, Yuzhen Ye
BMCBI
2007
115views more  BMCBI 2007»
13 years 9 months ago
Comparing sequences without using alignments: application to HIV/SIV subtyping
Background: In general, the construction of trees is based on sequence alignments. This procedure, however, leads to loss of informationwhen parts of sequence alignments (for inst...
Gilles Didier, Laurent Debomy, Maude Pupin, Ming Z...
RECOMB
2009
Springer
14 years 4 months ago
Reconstructing Histories of Complex Gene Clusters on a Phylogeny
Abstract. Clusters of genes that have evolved by repeated segmental duplication present difficult challenges throughout genomic analysis, from sequence assembly to functional analy...
Tomás Vinar, Brona Brejová, Giltae S...
BMCBI
2007
109views more  BMCBI 2007»
13 years 9 months ago
Computational RNA secondary structure design: empirical complexity and improved methods
Background: We investigate the empirical complexity of the RNA secondary structure design problem, that is, the scaling of the typical difficulty of the design task for various cl...
Rosalía Aguirre-Hernández, Holger H....