Advances in Computational Biology

Publisher Springer

Format

eBook

2nd Edition 1st Edition

Quantity

Add New

Publisher

Springer

Volume

Copyright

2014

ISBN13

9783319015682

Release

Format

eBook

Grade Level

College Freshman - College Senior

DDC
TBD

Overview

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.\xa0
Front Cover.
Editorial Board.
Title Page.
Copyright Page.
Preface.
Organization.
Acknowledgement.
Contents.
1: Predictive Modeling of Signaling Transduction Mediated by Tyrosine-Kinase Receptors.
2: Bioinformatic Analysis of Two Proteins with Suspected Linkage to Pulmonary Atresia with Intact Ventricular Septum.
3: Construction and Comparison of Gene Co-expression Networks Based on Immunity Microarray Data from Arabidopsis, Rice, Soybean, Tomato and Cassava.
4: in silico Binding Free Energy Characterization of Cowpea Chlorotic Mottle Virus Coat Protein Homodimer Variants.
5: Analysis of Binding Residues between PDGF-BB and Epidermal Growth Factor Receptor: A Computational Docking Study.
6: Software as a Service for Supporting Biodiversity Conservation Decision Making.
7: Structural and Functional Prediction of the Hypothetical Protein Pa2481 in Pseudomonas Aeruginosa Pao1.
8: Exploration of the Effect of Input Data on the Modeling of Cellular Objective in Flux Balance Analysis (FBA).
9: Prediction of Potential Kinase Inhibitors in Leishmania spp. through a Machine Learning and Molecular Docking Approach.
10: Functional Protein Prediction Using HMM Based Feature Representation and Relevance Analysis.
11: High Throughput Location Proteomics in Confocal Images from the Human Protein Atlas Using a Bag-of-Features Representation.
12: Measuring Complexity in an Aquatic Ecosystem.
13: Possible Antibiofilm Effect of Peptides Derived from IcaR Repressor of Staphylococcus epidermidis Responsible for Hospital-Acquired Sepsis.
14: “Head to Tail” Tool Analysis through ClustalW Alignment Algorithms and Construction of Distance Method Neighbor-Joining Trees Based on Genus Fusarium Genomic Distances.
15: False Positive Reduction in Automatic Segmentation System.
16: Photosynthesis Thermodynamic Efficiency Facing Climate Change.
17: Thermogenesis Driven by ATP Hydrolysis in a Model with Cubic Autocatalysis.
18: Towards a Linked Open Data Model for Coffee Functional Rel
Read More Read Less

Advances in Computational Biology

Product Details

Overview

Table of Contents