Advances in Bioinformatics and Computational Biology: 9th by Sérgio Campos

By Sérgio Campos

This booklet constitutes the refereed lawsuits of the ninth Brazilian Symposium on Bioinformatics, BSB 2014, held in Belo Horizonte, Brazil, in October 2014. The 18 revised complete papers provided have been conscientiously reviewed and chosen from 32 submissions. The papers conceal all facets of bioinformatics and computational biology.

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0001]), for SVM (using RBF kernel) and k (1, 3, 5, 7, 9) for k-NN. Table 3 presents the best parameter values obtained for each dataset and therefore used in our experiments to obtain the results presented here. 40GHz PC with 12 GBytes of RAM. Table 3. 56e-04 1e-04 Experimental Results The classifiers predictive performance was measured using k-cross-validation (k =10) and F-measure metric. For each dataset, the same test partitions were used in the evaluation of classifiers. The results of the experiments are presented in Figure 3 graphs.

Br/FluxMED 2 FluxMed Development The FluxMED system has been constructed using Java and uses MySQL as database server and Apache Tomcat as Web server. Workflow files are uploaded in the system through the interface and the activities created in the workflow construction are interpreted as links by the system. The workflows are constructed in the XPDL format using the application Together Workflow Editor (TWE) [16]. In FluxMED the EHR systems are defined as sequences of activities. An activity represents events such as a consultation, an exam or test performed, or a diagnostic determined.

Sequences from the Environment, Tyson (2013) 2. : Community structure and metabolism through reconstruction of microbial genomes from the environment. Nature 428(6978), 37–43 (2004) 3. : KAAS: an automatic genome annotation and pathway reconstruction server. Nucleic acids research 35(Web Server issue), W182–W185 (2007) 4. : KEGG for integration and interpretation of large-scale molecular data sets. Nucleic Acids Research 40(Database issue), D109–D114 (2012) 5. : KEGGREST: Client-side REST access to KEGG.

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