RECOMB
2005
Springer
14 years 4 months ago
2005
Springer
Recent technological advances have enabled high-throughput measurements of protein-protein interactions in the cell, producing protein interaction networks for various species at a...
RECOMB
2005
Springer
14 years 4 months ago
2005
Springer
Background: Correlations between polymorphic markers and observed phenotypes provide the basis for mapping traits in quantitative genetics. When the phenotype is gene expression, ...
RECOMB
2005
Springer
14 years 4 months ago
2005
Springer
RECOMB
2005
Springer
14 years 4 months ago
2005
Springer
A considerable fraction of yeast gene promoters are bound by multiple transcription factors. To study the combinatorial interactions of multiple transcription factors is thus impor...
RECOMB
2005
Springer
14 years 4 months ago
2005
Springer
Many important cellular response mechanisms are activated when a peptide binds to an appropriate receptor. In the immune system, the recognition of pathogen peptides begins when th...
RECOMB
2005
Springer
14 years 4 months ago
2005
Springer
We develop an iterative relaxation algorithm, called RIBRA, for NMR protein backbone assignment. RIBRA applies nearest neighbor and weighted maximum independent set algorithms to ...
RECOMB
2005
Springer
14 years 4 months ago
2005
Springer
An accurate scoring function for database search is crucial for peptide identification using tandem mass spectrometry. Although many mathematical models have been proposed to scor...
RECOMB
2005
Springer
14 years 4 months ago
2005
Springer
We introduce a new scoring method for calculation of alignments of optical maps. Missing cuts, false cuts, and sizing errors present in optical maps are addressed by our alignment...
RECOMB
2005
Springer
14 years 4 months ago
2005
Springer
We present a novel computational method, MultiBind, for recognition of binding patterns common to a set of protein structures. It is the first method which performs a multiple alig...
RECOMB
2005
Springer
14 years 4 months ago
2005
Springer
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...