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» Predicting Peroxisomal Proteins
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BMCBI
2010
229views more  BMCBI 2010»
13 years 8 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
BMCBI
2010
105views more  BMCBI 2010»
13 years 8 months ago
Comparison of PGH2 binding site in prostaglandin synthases
Background: Prostaglandin H2 (PGH2) is a common precursor for the synthesis of five different Prostanoids via specific Prostanoid Synthases. The binding of this substrate with the...
Padmapriya Paragi-Vedanthi, Mukesh Doble
BMCBI
2008
108views more  BMCBI 2008»
13 years 8 months ago
A nonparametric model for quality control of database search results in shotgun proteomics
Background: Analysis of complex samples with tandem mass spectrometry (MS/MS) has become routine in proteomic research. However, validation of database search results creates a bo...
Jiyang Zhang, Jianqi Li, Xin Liu, Hongwei Xie, Yun...
BMCBI
2008
158views more  BMCBI 2008»
13 years 8 months ago
Bioinformatics in Italy: BITS2007, the fourth annual meeting of the Italian Society of Bioinformatics
spectives. A total of 149 abstracts were accepted and presented in the poster session and 31 of them were selected for oral presentation. At the opening of the meeting, Roderic Gui...
Graziano Pesole, Manuela Helmer-Citterich
BIOINFORMATICS
2006
124views more  BIOINFORMATICS 2006»
13 years 8 months ago
Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
Guido Sanguinetti, Neil D. Lawrence, Magnus Rattra...