By Ivan Mura (auth.), Luis F. Castillo, Marco Cristancho, Gustavo Isaza, Andrés Pinzón, Juan Manuel Corchado Rodríguez (eds.)
This quantity compiles approved contributions for the second version of the Colombian Computational Biology and Bioinformatics Congress CCBCOL, after a rigorous evaluation method during which fifty four papers have been accredited for e-book from 119 submitted contributions. Bioinformatics and Computational Biology are parts of data that experience emerged because of advances that experience taken position within the organic Sciences and its integration with details Sciences. the growth of initiatives concerning the examine of genomes has led the way in which within the creation of immense quantities of series facts which has to be geared up, analyzed and kept to appreciate phenomena linked to dwelling organisms on the topic of their evolution, habit in numerous ecosystems, and the improvement of functions that may be derived from this analysis.
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Extra resources for Advances in Computational Biology: Proceedings of the 2nd Colombian Congress on Computational Biology and Bioinformatics (CCBCOL)
Co Abstract. This paper presents e-clouds as a tool to support biodiversity decision making, offering a Software as a Service (SaaS) paradigm to execute computing and technic intensive applications such as species distribution models. But mere access to these tools is not enough if usability and economy are not aligned with users interests. This article presents a friendly interface hiding all the complexities of using a public cloud infrastructure, containing an application supported by expert researchers, and an architecture behind the scenes that minimizes the cost of using such a computational and technical infrastructure, what results in a very attractive option for researchers and other stakeholders to get the most out of public clouds for their tasks.
Genes Dev. 22(10), 1276–1312 (2008) 35. : Structures of a plateletderived growth factor/propeptide complex and a platelet-derived growth factor/receptor complex. Proc. Natl. Acad. Sci. U S A 107(25), 11307–11312 (2010) 36. : PDGF signaling in cells and mice. Cytokine Growth Factor Rev. 15(4), 205–213 (2004) 37. : Identification of three amino acids in the platelet-derived growth factor (PDGF) B-chain that are important for binding to the PDGF beta-receptor. J. Biol. Chem. 266, 10073–10077 (1991) 38.
Plant Mol. Biol. 57, 393–410 (2005) 10. : Exploration, normalization, and summaries of high density oligonucleotide array probe level data. Biostatistics 4, 249–264 (2003) 11. : Geometric Interpretation of Gene Coexpression Network Analysis. PLoS Computational Biology 4, 27 (2008) 12. : Comparing Brain Networks of Diﬀerent Size and Connectivity Density Using Graph Theory. mx Abstract. The viral capsid’s main function is to transport and protect its nucleic acid. It is formed by the self-assembly of multiple copies of one, or a few, coat proteins (CP).
Advances in Computational Biology: Proceedings of the 2nd Colombian Congress on Computational Biology and Bioinformatics (CCBCOL) by Ivan Mura (auth.), Luis F. Castillo, Marco Cristancho, Gustavo Isaza, Andrés Pinzón, Juan Manuel Corchado Rodríguez (eds.)