FluxExplorer： A general platform for modeling and analyses of metabolic networks based on stoichiometry

An increasing number of genomic and biochemical data make it possible to reconstruct biochemical net-works, especially metabolic networks, of an organelle or even a whole cell. Some methods for metabolism modeling and analyses in this field have been deve…     

A novel method for evaluating and improving the 1H-MRSI glioma data quality

Metabolic information obtained by proton magnetic resonance spectroscopic imaging (1H-MRSI) has been approved to be a powerful tool to identify either benign or malignant glioma, as well as to confirm the tumor level. However, 1H-MRSI data are affected by various factors, such as the thermal noise, eddy currents, susceptibility artifacts, and rigid body motion. To get accurate quantitative metabolic information, the key problem is to assess the 1H-MRSI data quality. In this paper, we introduce a new evaluating system to filter the data, and a new method, called wavelet denoising method, to improve the data quality under the evaluating system. Experimental results on 1H-MRSI glioma data demonstrate that preprocessing is prerequisite and the proposed algorithm with evaluating system is effective.     

A novel method for evaluating and improving the ~1H-MRSI glioma data quality

Protonmagneticresonancespectroscopicimaging(1H MRSI)hasbeenintensivelystudiedtoquantita tivelyanalyzegliomaforclinician[1—3],including definingthetumorboundary,tumorpropertyandde terminingthetumorlevel.However,rawgliomadata of1H MRSIusuallyinvolvevariousartifacts,suchas thethermalnoise,eddycurrents,susceptibilityarti facts,rigidbodymotion,physiologicalpulsationflow andhardwareissues,whichsignificantlyaffectthe accuracyofthemeasuredresults.1H MRSIisdiffer entfrommagneticresonanceimaging(…     

A Gγ subunit promoter T-DNA insertion mutant――A1-412 of Magnaporthe grisea is defective in appressorium formation, penetration and pathogenicity

Heterotrimeric G-proteins consisting of α, β and γ-subunits are essential for the transduction of ex- tracellular signals to various downstream intracellular effectors in eukaryotes. Previous studies showed that Gα and Gβ were involved in regulating