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Practical Applications of Computacional Biology and Bioinformatics, 13tf International Conference

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Título: Practical Applications of Computacional Biology and Bioinformatics, 13tf International Conference
Autor: Fdez-Riverola et al.
Editora: Springer
Edição: 1ª Edição
Ano: 2020
I.S.B.N.: 978-3-030-23873-5
Tipo de capa: Brochura
Número de páginas: 184
Dimensões (cm): Comprimento (21,5) Largura (15,8) Altura (1,2)
Idioma: Inglês
Estado: Novo

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SKU: 1117 Categorias: ,

Descrição

Esta publicação reúne 20 artigos: ProtRet: A Web Server for Retrieving Proteins in a Functional Complex; Proposal of a New Bioinformatics Pipeline for Metataxonomics in Precision Medicine; Systems Toxicology Approach to Unravel Early Indicators of Squamous Cell Carcinoma Rate in Rat Nasal Epithelium Induced by Formaldehyde Exposure; Moment Vector Encoding of Protein Sequences for Supervised Classification; A Hybrid of Particle Swarm Optimization and Minimization of Metabolic Adjustment for Ethanol Production of Escherichia Coli; Cache-Efficient FM-Index Variants for Mapping of DNA Sequences; A Parallel Implementation for Cellular Potts Model with Software Transactional Memory; Inferring Positive Selection in Large Viral Datasets; Data-Driven Extraction of Quantitative Multi-dimensional Associations of Cardiovascular Drugs and Adverse Drug Reactions; An Identical String Motif Finding Algorithm Through Dynamic Programming; Parallel Density-Based Downsampling of Cytometry Data; Signaling Transduction Networks in Choroidal Melanoma: A Symbolic Model Approach; Predicting Promoters in Phage Genomes Using Machine Learning Models; Detection and Characterization of Local Inverted Repeats Regularities; An Efficient and User-Friendly Implementation of the Founder Analysis Methodology; Visualization of Similar Primer and Adapter Sequences in Assembled Archaeal Genomes; GeCo2: An Optimized Tool for Lossless Compression and Analysis of DNA Sequences; Troppo – A Python Framework for the Reconstruction of Context-Specific Metabolic Models; Deterministic Classifiers Accuracy Optimization for Cancer Microarray Data; Artificial Intelligence in Biological Activity Prediction; Towards the Reconstruction of Integrated Genome-Scale Models of Metabolism and Gene Expression.

Informação adicional

Peso 356 g
Dimensões 21,7 × 16 × 1,4 cm