metapred2cs.ibers.aber.ac.uk
MetaPred2CS Web server at bioinsilico \dot\ orgMetaPred2cs: prediction of two-component system protein protein interactions
http://metapred2cs.ibers.aber.ac.uk/
MetaPred2cs: prediction of two-component system protein protein interactions
http://metapred2cs.ibers.aber.ac.uk/
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MetaPred2CS Web server at bioinsilico \dot\ org | metapred2cs.ibers.aber.ac.uk Reviews
https://metapred2cs.ibers.aber.ac.uk
MetaPred2cs: prediction of two-component system protein protein interactions
metapred2cs.ibers.aber.ac.uk
MetaPred2CS Web server at bioinsilico \dot\ org
http://metapred2cs.ibers.aber.ac.uk/download
The source code for MetaPred2cs is available on Git Hub. Alternatively, for quick and easy development you can download a fully functional Virtual Machine compatible with Virtual Box. In OVA format here. Latest version 10.3GB OVA File for Virtual Box. Additional Files required for source installation. 11 Version: 03-05-2016: Download. 10 Version: 16-02-2016: Download. Please cite the server.
MetaPred2CS Web server at bioinsilico \dot\ org
http://metapred2cs.ibers.aber.ac.uk/disclaimer_page.html
This service is available AS IS and at your own risk. Any representation or warranty is given nor assume any liability or responsibility for the service or the results posted (whether as to their accuracy, completeness, quality or otherwise). Access to the service is available free of charge for the scientific community for ordinary use in the course of research. We are actively improving MetaPred2CS Web server. Should you have any question, problem or suggestion, please get in touch with us.
MetaPred2CS Web server at bioinsilico \dot\ org
http://metapred2cs.ibers.aber.ac.uk/Methods.html
MetaPred2CS is a meta-predictor specifically designed to predict interactions in prokaryotic two-component system, i.e the pairing between histidine kinases and response regulators. MetaPred2CS is based on Support Vector Machine (SVM). That combines six individual sequence based protein-protein interaction prediction methods: two co-evolutionary based methods ( in-silico two hybrid (i2H). And mirror tree (MT). Methods) and four genomic context methods ( phylogenetic profiling (PP). Datasets contain 113 i...
MetaPred2CS at bioinsilico \dot\ org
http://metapred2cs.ibers.aber.ac.uk/help_page1.html
Submission Form Pre-computed predictions. Users are requested to submit the sequences of the query proteins can be either uploaded or pasted in the submission web page (Figure 1). The format of the sequences must be Fasta and the header should follow the following specifications and format as the example shown below:. Gi 16128384 ref NP 414933.1 response regulator in two-component regulatory system with PhoR (or CreC) [Escherichia coli str. K-12 substr. MG1655]. Submission Form De novo predictions. Metho...
MetaPred2CS Web server at bioinsilico \dot\ org
http://metapred2cs.ibers.aber.ac.uk/example.html
Is a meta-predictor based on Support Vector Machine (SVM). That combines 6 individual sequence based protein-protein interaction prediction methods to predict prokaryotic two-component system. Protein-protein interactions (PPIs). The methods implemented in MetaPred2CS are 2 co-evolutionary methods: in-silico two hybrid (i2h). And mirror tree (MT). Methods and 4 genomics context based methods: phylogenetic profiling (PP). And and gene operon methods (GO). Please check help page. Gi 376272190 ref YP 005150...
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MetaPred2CS Web server at bioinsilico \dot\ org
Is a meta-predictor based on Support Vector Machine (SVM). That combines 6 individual sequence based protein-protein interaction prediction methods to predict prokaryotic two-component system. Protein-protein interactions (PPIs). The methods implemented in MetaPred2CS are 2 co-evolutionary methods: in-silico two hybrid (i2h). And mirror tree (MT). Methods and 4 genomics context based methods: phylogenetic profiling (PP). And and gene operon methods (GO). Please check help page. Please cite the server.
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