Research in Computational Molecular Biology: Lecture Notes in Computer Science, cartea 8394
Editat de Roded Sharanen Limba Engleză Paperback – 5 mar 2014
Din seria Lecture Notes in Computer Science
- 20%
Preț: 558.53 lei - 20%
Preț: 571.88 lei - 20%
Preț: 675.83 lei - 20%
Preț: 1020.28 lei - 20%
Preț: 620.33 lei - 20%
Preț: 560.93 lei - 20%
Preț: 633.70 lei - 20%
Preț: 678.21 lei - 20%
Preț: 1359.66 lei - 20%
Preț: 560.93 lei - 20%
Preț: 733.68 lei - 20%
Preț: 793.92 lei - 15%
Preț: 558.12 lei - 20%
Preț: 793.92 lei - 20%
Preț: 560.93 lei - 20%
Preț: 748.63 lei - 20%
Preț: 562.49 lei - 20%
Preț: 1246.46 lei - 20%
Preț: 449.81 lei - 20%
Preț: 556.96 lei - 20%
Preț: 562.49 lei - 20%
Preț: 851.78 lei - 20%
Preț: 313.10 lei - 18%
Preț: 945.44 lei - 20%
Preț: 314.86 lei - 20%
Preț: 560.93 lei - 20%
Preț: 313.87 lei - 20%
Preț: 1033.45 lei - 20%
Preț: 563.29 lei - 20%
Preț: 733.68 lei - 20%
Preț: 1137.10 lei - 20%
Preț: 735.28 lei - 20%
Preț: 1079.23 lei - 20%
Preț: 560.11 lei - 20%
Preț: 791.54 lei - 15%
Preț: 672.87 lei - 20%
Preț: 1032.47 lei - 20%
Preț: 617.17 lei - 20%
Preț: 1022.15 lei - 20%
Preț: 984.64 lei - 20%
Preț: 620.33 lei - 20%
Preț: 979.25 lei - 20%
Preț: 402.28 lei - 20%
Preț: 316.28 lei - 20%
Preț: 636.06 lei - 20%
Preț: 320.24 lei - 20%
Preț: 328.94 lei
Preț: 386.97 lei
Puncte Express: 580
Carte tipărită la comandă
Livrare economică 08-22 iunie
Specificații
ISBN-13: 9783319052687
ISBN-10: 3319052683
Pagini: 480
Ilustrații: XVI, 464 p. 111 illus., 92 illus. in color.
Dimensiuni: 155 x 235 x 26 mm
Greutate: 0.72 kg
Ediția:2014
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3319052683
Pagini: 480
Ilustrații: XVI, 464 p. 111 illus., 92 illus. in color.
Dimensiuni: 155 x 235 x 26 mm
Greutate: 0.72 kg
Ediția:2014
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Public țintă
ResearchCuprins
Tractatus: An Exact and Subquadratic Algorithm for Inferring Identical-by-Descent Multi-shared Haplotype Tracts.- Hap Tree: A Novel Bayesian Framework for Single Individual Polyplotyping Using NGS Data.- Change point Analysis for Efficient Variant Calling.- On the Representation of de Bruijn Graphs.- Exact Learning of RNA Energy Parameters from Structure.- An Alignment-Free Regression Approach for Estimating Allele-Specific Expression Using RNA-Seq Data.- The Generating Function Approach for Peptide Identification in Spectral Networks.- Decoding Coalescent Hidden Markov Models in Linear Time.- AptaCluster – A Method to Cluster HT-SELEX Aptamer Pools and Lessons from Its Application.- Learning Sequence Determinants of Protein: Protein Interaction Specificity with Sparse Graphical Models.- On Sufficient Statistics of Least-Squares Superposition of Vector Sets.- IDBA-MTP: A Hybrid Meta Transcriptomic Assembler Based on Protein Information.- MRFalign: Protein Homology Detection through Alignment of Markov Random Fields.- An Integrated Model of Multiple-Condition ChIP-Seq Data Reveals Predeterminants of Cdx2 Binding.- PASTA: Ultra-Large Multiple Sequence Alignment.- Fast Flux Module Detection Using Matroid Theory.- Building a Pangenome Reference for a Population.-CSAX: Characterizing Systematic Anomalies in eXpression Data.-Whats Hap: Haplotype Assembly for Future-Generation Sequencing Reads.- Simultaneous Inference of Cancer Pathways and Tumor Progression from Cross-Sectional Mutation Data.- dip SPA des: Assembler for Highly Polymorphic Diploid Genomes.- An Exact Algorithm to Compute the DCJ Distance for Genomes with Duplicate Genes.- HIT’nDRIVE: Multi-driver Gene Prioritization Based on Hitting Time.- Modeling Mutual Exclusivity of Cancer Mutations.-Viral Quasispecies Assembly via Maximal Clique Enumeration.-Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency.- Bayesian Multiple Protein StructureAlignment.- Gene-Gene Interactions Detection Using a Two-Stage Model.- A Geometric Clustering Algorithm and Its Applications to Structural Data.- A Spatial-Aware Haplotype Copying Model with Applications to Genotype Imputation.- Traversing the k-mer Landscape of NGS Read Datasets for Quality Score Sparsification.-Reconstructing Breakage Fusion Bridge Architectures Using Noisy Copy Numbers.- Reconciliation with Non-binary Gene Trees Revisited.- Learning Protein-DNA Interaction Landscapes by Integrating Experimental Data through Computational Models.-Imputation of Quantitative Genetic Interactions in Epistatic MAPs by Interaction Propagation Matrix Completion.