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page on another machine When a user or application requests a blocked, non-HTTP protocol, Websense software typically displays
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a protocol block message. When, however, a user requests a old or new esn is not of removable uicc type. blocked FTP, HTTPS, or Gopher site from within a browser, and the request passes through a
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proxy, an HTML-based block page displays in the browser, instead. If an application requests the blocked protocol, the user may also receive an error message @onetoone or @manytoone on references an unknown entity from the application, indicating that it cannot run. Application error messages are not generated by Websense software. Some system configuration may be required to display protocol block messages on Windows machines: To display a protocol block message on client machines running Windows NT, XP, or 200x, the Windows Messenger service must fatal error maximum execution time of 30 seconds exceeded in wp-includes class-http.php on line 1453 be enabled. This service is disabled by default. You can use the Windows Services dialog box to find out if the service is running on a given machine (see The Windows Services dialog box). To display protocol block messages on a Windows 98 machine, you must start winpopup.exe, located in the Windows directory. Run the application from the command prompt, or configure it to launch automatically by copying it to the Startup folder. Protocol block messages are not displayed on Linux machines. HTML block pages display regardless of operating system. If protocol filtering is enabled, Websense software filters protocol requests whether or not the protocol block messages are configured to display on client machines. Quick Links Technical Library Home Support & Knowledge Base Forums Block Pages > Protocol block messages Careers Contact Us Newsroom Site Map Legal Information Privacy Policy (c) 2010 Websense, Inc. All Rights Reserved.
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P(3,4), Uva P(3,4), Busiello V(1,4), Morelli G(1,3), Ruberti I(1,4) affiliation (1) Molecular Systems Biology Laboratory, Rome, Italy (2) Department of Computer and Systems Science “Antonio Ruberti”, University of Rome “La Sapienza”, Rome, http://www.biocomp.unibo.it/bits2006/abstract_07_03_06.htm Italy (3) National Research Institute of Food and Nutrition, Rome, Italy (4) Institute of Molecular Biology and Pathology, National Research Council, Rome, Italy motivation One key point in the analysis of gene expression dynamics is that mRNA abundance is determined by two regulated processes: transcription and degradation, both specifically affecting transcript levels. It is becoming progressively more evident that mRNA degradation and its regulation fatal error is an important factor in determining the expression pattern of many genes. When trying to infer the global phenotypes of cells from large-scale mRNA expression profiling data, it would be important to consider both transcriptional and post-transcriptional level of gene regulation. methods Here we model gene expression in order to capture the specific part of mRNA expression dynamically changing in response to regulatory signals 21 blocked contact affecting transcription, mRNA stability or both. To this end, we introduced the net mRNA expression, i.e. the mRNA expression normalized to basal transcription and degradation rates, computed by the NEMES (NEt MRNA ExpreSsion) algorithm. results Evaluating net-mRNA expression using genome wide cell cycle time series data and decay the method strikingly identifies regulatory switching points, thus revealing the underlying dynamic link between gene expression and regulatory programs. As global decay data can be easily obtained by means of microarray experiments, we anticipate that net-mRNA expression will prove to be a powerful tool to fully understand the dynamics of gene regulation in single and multicellular organisms. availability http://www.dis.uniroma1.it/~farina/NEMES/ contact email lorenzo.farina@uniroma1.it supplementary informations image nr: 101 nome Fulvia cognome Ferrazzi email: fulvia.ferrazzi@unipv.it session: Gene Networks title Bayesian approaches for reverse engineering of cellular networks: a performance evaluation on simulated data first author Ferrazzi F all authors Ferrazzi F (1), Sebastiani P (3), Kohane IS (2), Ramoni MF (2), Bellazzi R (1) affiliation (1) Dipartimento di Informatica e Sistemistica, Università degli Studi di Pavia, Italy (2) Children's Hospital Informatics Program and Harvard Partners Center for Genetics and Genomics, Harvard Medical
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