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Engineering - Computational Intelligence and Complexity | Advances in Computational Biology - Proceedings of the 2nd Colombian Congress on Computational

Advances in Computational Biology

Proceedings of the 2nd Colombian Congress on Computational Biology and Bioinformatics (CCBCOL)

Castillo, L.F., Cristancho, M., Isaza, G., Pinzón, A., Rodríguez, J.M.C. (Eds.)

2014, XVIII, 397 p. 105 illus.

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  • Latest research on Computational Biology
  • Results of the second Colombian Computational Biology Congress (CCBCOL) held in Manizales, Colombia from 25th till 27th of September 2013
  • Written by experts in the field

This volume compiles accepted contributions for the 2nd Edition of the Colombian Computational Biology and Bioinformatics Congress CCBCOL, after a rigorous review process in which 54 papers were accepted for publication from 119 submitted contributions. Bioinformatics and Computational Biology are areas of knowledge that have emerged due to advances that have taken place in the Biological Sciences and its integration with Information Sciences. The expansion of projects involving the study of genomes has led the way in the production of vast amounts of sequence data which needs to be organized, analyzed and stored to understand phenomena associated with living organisms related to their evolution, behavior in different ecosystems, and the development of applications that can be derived from this analysis.

 

Content Level » Research

Keywords » CCBCOL - Computational Biology - Computational Intelligence - Intelligent Computing

Related subjects » Artificial Intelligence - Bioinformatics - Computational Intelligence and Complexity

Table of contents 

Computational Modeling of Signaling Transduction Mediated by Tyrosine-Kinase Receptors.- Oscar Andres Alzate Mejia and Antonio Jesús Pérez Pulido. Análisis bioinformático de dos proteínas con sospecha de ligamiento a atresia pulmonar con septo ventricular íntegro.- Luis Guillermo Leal, Liliana López-Kleine and Camilo López. Construction and comparison of gene co-expression networks based on immunity microarray data from.- Armando Díaz-Valle, Gabriela Chávez-Calvillo and Mauricio Carrillo-Tripp. Free energy characterization of Cowpea Chlorotic Mottle Virus coat protein variants.- Ricardo Cabezas, Daniel Torrente, Marco Fidel Avila, Luz Mary Salazar, Jannet Gonzalez and George Emilio Sampaio Barreto. Analysis of binding residues between PDGF-BB and Epidermal Growth factor Receptor : A computational docking study.- Camilo Moreno, Carolina Bello, Maria Cecilia Londono-Murcia, David Méndez, Mario Villamizar and Harold Castro. Software como servicio para la toma de decisiones en conservación de la biodiversidad..-David A. Díaz, Janneth González, George E. Barreto and Luz M. Salazar. Structural and Functional Prediction of the Hypothetical Protein PA2481 in Pseudomonas Aeruginosa PAO1.-Carlos Eduardo García Sánchez and Rodrigo Gonzalo Torres Sáez Exploración del efecto de los datos de entrada sobre el modelado del objetivo celular en el FBA.-Rodrigo Ochoa, Mark Davies, Andrés Flórez, Jairo Espinosa and Carlos Muskus. Prediction of potential kinase inhibitors in Leishmania spp. through a machine learning and molecular docking approach.-Diego Fabian Collazos Huertas, Andres Felipe Giraldo Forero, David Cardenas Peña, Andres Marino Alvarez Meza and Germán Castellanos Dominguez. Functional Protein Prediction using HMM based Feature Representation and Relevance Analysis.-Raul Ramos-Pollán, Ángel Cruz-Roa and Fabio González-Osorio. High-throughput location proteomics in confocal images from the Human Protein Atlas using a bag-of-features representation.-Nelson Fernández and Carlos Gershenson. Measuring Complexity in an Aquatic Ecosystem.- Posible efecto Antibiopelicula De Pepitos Derivados Del Repre sor Icar De Staphylococcus epidermidis Causante De Sepsis Intrahospitalaria.- Juan David Henao, Melissa Rincon and Juan Jose Filgueira. Análisis de la herramienta “Head to Tail” por medio de los algoritmos de alineamiento ClustalW y construcción de arboles de distancia Neghbor-Joining, basado en secuencias génicas del genero Fusarium.-Jairo Andres Velasco, Jheyson Faride Vargas, Gloria Ines Alvarez, Diego Luis Linares and Enrique Bravo. False positive reduction for Machine Learning driven Potyvirus polyprotein segmentation.-Victor Alonso Lopez Agudelo, Edgar Julian Cerón Figueroa and Daniel Barragán Eficiencia termodinámica de la fotosíntesis frente al cambio climático.-Edgar Julian Cerón Figueroa, Victor Alonso López Agudelo and Daniel Barragán Termogénesis durante la hidrólisis enzimática de ATP en un modelo con Autocatálisis CúbicaL. Castillo, G. Isaza, A. Gaitan, Towards a Linked Open Data Model for Gene AnnMarco Cristancho, William Giraldo, Botero David, Javier Tabima, Diana Ortiz, Alvaro Gaitán, Silvia Restrepo and Diego Riaño. Aplicación de los estudios del genoma de la roya del café.- Stability Analysis of Antimicrobial Peptides in
Solvation Conditions by Molecular Dynamics.- Análisis In-silico del Sitio Activo de la Enzima N-Acetilgalactosamina-6-Sulfato Sulfatasa en Ocho Especies.- Clasificación de péptidos antimicrobianos mediante el uso del kernel p-spectrum y máquinas de soporte vectorial.- Relaciones genéticas entre accesiones del Hibrido de Timor (Coffea L.) reveladas por métodos de secuenciación masiva de nueva generación.- A combined metabolic flux and sensitivity analysis provides insights about aminoacid feeding strategies in clavulanic acid biosynthesis in Streptomyces clavuligerus.- Metabolic flux analysis and strain optimization for ethanol production in Saccharomyces cerevisiae.. .

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