LEADER 04092nam 22006734 450 001 9910965850303321 005 20140811103215.0 010 $a9780822320982 010 $a0822320983 010 $a9780822398844 010 $a0822398842 024 7 $a10.1515/9780822398844 035 $a(CKB)3710000000222286 035 $a(OCoLC)891395400 035 $a(CaPaEBR)ebrary10909550 035 $a(MiAaPQ)EBC3007980 035 $a(OCoLC)1141500018 035 $a(MdBmJHUP)muse81066 035 $a885844318 035 $a(DE-B1597)554675 035 $a(DE-B1597)9780822398844 035 $a(OCoLC)1229161260 035 $a(Perlego)1466447 035 $a(EXLCZ)993710000000222286 100 $a20140808d1998 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aTo die in this way $eNicaraguan Indians and the myth of mestizaje, 1880-1965 /$fJeffrey L. Gould 210 1$aDurham, N.C. :$cDuke University Press,$d1998. 215 $a1 online resource (332 p.) 225 1 $aLatin America otherwise 311 08$a9781322067537 311 08$a1322067538 311 08$a9780822320845 311 08$a0822320843 320 $aIncludes bibliographical references (pages 295-299) and index. 327 $g1.$t"Vana Ilusion!": The Highlands Indians and the Myth of Nicaragua Mestiza, 1880-1925 --$g2.$t"Not Even a Handful of Dirt": The Dawn of Citizenship and the Suppression of Community in Boaco, 1890-1930 --$g3.$t"The Rebel Race": The Struggles of the Indigenous Community of Sutiaba, 1900-1960 --$g4.$tGender, Politics, and the Triumph of Mestizaje, 1920-1940 --$g5.$t"En Pleno Siglo XX": Indigenous Resistance, Indigenismo, and Citizenship, 1930-1940 --$g6.$tCrimes in the Countryside: Burning Bushes, Stolen Saints, and Murder, 1940-1954 --$g7.$tMemories of Mestizaje, Memories of Accumulation: The Indigenous Dimension in the Peasant Movements, 1954-1965. 330 $aChallenging the widely held belief that Nicaragua has been ethnically homogeneous since the nineteenth century, To Die in This Way reveals the continued existence and importance of an officially ?forgotten? indigenous culture. Jeffrey L. Gould argues that mestizaje?a cultural homogeneity that has been hailed as a cornerstone of Nicaraguan national identity?involved a decades-long process of myth building.Through interviews with indigenous peoples and records of the elite discourse that suppressed the expression of cultural differences and rationalized the destruction of Indian communities, Gould tells a story of cultural loss. Land expropriation and coerced labor led to cultural alienation that shamed the indigenous population into shedding their language, religion, and dress. Beginning with the 1870s, Gould historicizes the forces that prompted a collective movement away from a strong identification with indigenous cultural heritage to an ?acceptance? of a national mixed-race identity.By recovering a significant part of Nicaraguan history that has been excised from the national memory, To Die in This Way critiques the enterprise of third world nation-building and thus marks an important step in the study of Latin American culture and history that will also interest anthropologists and students of social and cultural historians. 410 0$aLatin America otherwise. 606 $aIndians of Central America$xCultural assimilation$zNicaragua 606 $aMestizaje$zNicaragua 606 $aIndians of Central America$zNicaragua$xEthnic identity 606 $aIndians, Treatment of$zNicaragua$xHistory 615 0$aIndians of Central America$xCultural assimilation 615 0$aMestizaje 615 0$aIndians of Central America$xEthnic identity. 615 0$aIndians, Treatment of$xHistory. 676 $a305.897/07285 676 $a305.89707285 700 $aGould$b Jeffrey L$0901382 801 0$bNDD 801 1$bNDD 906 $aBOOK 912 $a9910965850303321 996 $aTo die in this way$94359416 997 $aUNINA LEADER 12109nam 22007935 450 001 9910484286803321 005 20251226202141.0 010 $a3-319-16706-5 024 7 $a10.1007/978-3-319-16706-0 035 $a(CKB)3710000000379657 035 $a(SSID)ssj0001465695 035 $a(PQKBManifestationID)11817465 035 $a(PQKBTitleCode)TC0001465695 035 $a(PQKBWorkID)11477949 035 $a(PQKB)10226116 035 $a(DE-He213)978-3-319-16706-0 035 $a(MiAaPQ)EBC6298295 035 $a(MiAaPQ)EBC5590759 035 $a(Au-PeEL)EBL5590759 035 $a(OCoLC)906153677 035 $a(PPN)18489509X 035 $a(EXLCZ)993710000000379657 100 $a20150325d2015 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aResearch in Computational Molecular Biology $e19th Annual International Conference, RECOMB 2015, Warsaw, Poland, April 12-15, 2015, Proceedings /$fedited by Teresa M. Przytycka 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (XVII, 368 p. 110 illus., 98 illus. in color.) 225 1 $aLecture Notes in Bioinformatics,$x2366-6331 ;$v9029 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-319-16705-7 320 $aIncludes bibliographical references and index. 327 $aIntro -- Preface -- Organization -- Contents -- Efficient Alignment Free Sequence Comparison with Bounded Mismatches -- 1 Introduction -- 2 Key Concepts and Properties -- 3 An Overview of Our Algorithm -- 4 Constructing Sk -- 4.1 Analysis -- 5 Processing Sk -- 5.1 Proof of Lemma 6 -- 6 Conclusions -- A Ordering of Pairs -- References -- DockStar: A Novel ILP Based Integrative Method for Structural Modelling of Multimolecular Protein Complexes (Extended Abstract) -- References -- CRISPR Detection from Short Reads Using Partial Overlap Graphs -- 1 Introduction -- 2 Methods -- 2.1 Algorithm Overview -- 2.2 Identifying Frequent k-Mers -- 2.3 Analysis of Frequent k-Mers: Basic Observation -- 2.4 Data Indexing -- 2.5 Partial Construction of Overlap Graph -- 2.6 k-Mer Clustering -- 2.7 Repeat Consensus Derivation -- 3 Results -- 3.1 Simulated Reads Data -- 3.2 Real Reads Data -- 4 Conclusions and Future Work -- References -- HapTree-X: An Integrative Bayesian Framework for Haplotype Reconstruction from Transcriptome and Genome Sequencing Data -- References -- Read Clouds Uncover Variation in Complex Regions of the Human Genome -- 1 Background -- 2 Method -- 3 Results -- References -- Learning Microbial Interaction Networks from Metagenomic Count Data -- 1 Introduction -- 2 Materials and Methods -- 2.1 Preliminaries -- 2.2 The Model -- Model Learning. -- Model Initialization. -- Model Selection. -- 2.3 Synthetic Experiment -- 2.4 Artificial Community Experiment -- 2.5 In vitro Coplating Validation Experiments -- 3 Results -- 3.1 Synthetic Experiment -- 3.2 Artificial Community Experiment -- 4 Discussion -- References -- Immunoglobulin Classification Using the Colored Antibody Graph -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion -- References -- CIDANE: Comprehensive Isoform Discovery and Abundance Estimation -- References. 327 $aDiffusion Component Analysis: Unraveling Functional Topology in Biological Networks -- 1 Introduction -- 2 Methods -- 3 Results -- References -- Fragmentation Trees Reloaded -- 1 Introduction -- 2 Fragmentation Trees -- 3 Maximum a Posteriori Estimation -- 3.1 Prior Probability of the Tree -- 3.2 Likelihood of the Tree -- 3.3 Posterior Probability of the Tree -- 3.4 Hypothesis-Driven Recalibration. -- 4 Results -- 5 Conclusion -- References -- KGSrna: Efficient 3D Kinematics-Based Sampling for Nucleic Acids -- 1 Introduction -- 2 Methods -- 2.1 Construction of the Tree -- 2.2 Modeling the Conformational Flexibility of Pentameric Rings -- 2.3 Null Space Perturbations -- 2.4 Rebuild Perturbations -- 2.5 Experimental Design -- 3 Results and Discussion -- 3.1 Broad and Accurate Atomic-Scale Sampling of the Native Ensemble -- 3.2 Large Scale Deformations -- 3.3 KGSrna as an Alternative to NMA -- 4 Conclusion -- A Benchmark Set -- B Ensemble Backbone Torsional Distributions -- C Video Files -- References -- Locating a Tree in a Phylogenetic Network in Quadratic Time -- 1 Introduction -- 2 Concepts and Notions -- 3 How Many Reticulations in a Network? -- 4 A Quadratic-Time Algorithm for the TCP -- 5 Conclusion -- References -- Constructing Structure Ensembles of Intrinsically Disordered Proteins from Chemical Shift Data -- 1 Introduction -- 2 Methods -- 2.1 Overview -- 2.2 Constructing the Initial Structure Pool -- 2.3 Selecting Representative Structures from the Initial Pool -- 2.4 Obtaining the Chemical Shifts of Backbone Atoms -- 2.5 Calculating the Corresponding Weights of the Selected Structures -- 2.6 Implementation -- 3 Results -- 3.1 Validation through A Reference Ensemble Approach -- 3.2 Tests on Real Data -- 3.3 Case Study -- 4 Conclusions -- References. 327 $aComets (Constrained Optimization of Multistate Energies by Tree Search): A Provable and Efficient Algorithm to Optimize Binding Affinity and Specificity with Respect to Sequence -- 1 Introduction -- 2 Methods -- 2.1 Problem Formulation -- 2.2 A* Over Sequences -- 2.3 Starting and Finishing the Calculation -- 3 Results -- 3.1 Measurement of Efficiency -- 3.2 Differences in Sequences Returned by Multistate Designs and Single-state Proxies -- 4 Conclusions -- References -- Efficient and Accurate Multiple-Phenotypes Regression Method for High Dimensional Data Considering Population Structure -- 1 Introduction -- 2 Results -- 2.1 Correcting for Population Structure in Multivariate Analysis -- 2.2 GAMMA Corrects for Population Structure and Accurately Identifies Genetic Variances in a Simulated Study -- 2.3 GAMMA Identifies Regulatory Hotspots Related to Regulatory Elements of a Yeast Dataset -- 2.4 GAMMA Identifies Variants that Associated with a Gut Microbiome -- 3 Discussion -- 4 Materials and Methods -- 4.1 Linear Mixed Models -- 4.2 Multiple-Phenotypes Analysis -- 4.3 Correcting for Population Structure -- 4.4 Implementation -- 4.5 Simulated Dataset -- 4.6 Real Datasets -- References -- BWM*: A Novel, Provable, Ensemble-Based Dynamic Programming Algorithm for Sparse Approximations of Computational Protein Design -- 1 Introduction -- 1.1 Design with Sparse Energy Functions -- 2 Background -- 2.1 Sparse Residue Interaction Graphs -- 2.2 Branch-Decomposition in Protein Design -- 3 Methods -- 3.1 Total Effective Search Space -- 3.2 Algorithm: Preprocessing and Enumeration -- 3.3 Sparse Error Bounds -- 4 Computational Experiments -- 4.1 Experimental Methods -- 4.2 Total Effective Search Space Predictions -- 4.3 Ensemble Enumeration Time -- 5 Conclusion -- References. 327 $aAn Efficient Nonlinear Regression Approach for Genome-Wide Detection of Marginal and Interacting Genetic Variations -- 1 Introduction -- 2 Methods -- 2.1 Piecewise Linear Model-Based Group Lasso -- Randomization -- Stability Selection. -- 2.2 Piecewise Linear Model-Based Screening -- 2.3 System Implementation of Piecewise Linear Model-Based Screening -- 3 Simulation Study -- 3.1 Power to Detect True Casual SNPs and SNP Pairs Under False Positive Control -- 3.2 Scalability of Screening Implementation -- 4 Association Analysis of Late-Onset Alzheimer's Disease Data -- 4.1 Marginal Effects in Late-Onset Alzheimer's Disease Dataset -- 4.2 Interaction Effects in Late-Onset Alzheimer's Disease Dataset -- 5 Conclusions -- S1 Simulation Study -- S1.1 Generation of Simulation Data -- S1.2 Benefits of Using a Piecewise Linear Model for Screening -- S1.3 Comparison of Different Methods for the Detection of SNP Pairs with Interaction Effects -- Comparison with Different Minor Allele Frequencies. -- Comparison with Different Association Strengths. -- References -- Exploration of Designability of Proteins Using Graph Features of Contact Maps: Beyond Lattice Models -- 1 Introduction -- 2 Methods -- 2.1 Selection of Datasets -- 2.2 Calculating Designabilities of Structures Using Binary Energy Functions -- 2.3 Generation of Contact Graphs and Graph Features that Describe Them -- 2.4 Regression Analysis -- 2.5 Nai?ve Bayes Prediction -- 3 Results and Discussion -- References -- CoMEt: A Statistical Approach to Identify Combinations of Mutually Exclusive Alterations in Cancer -- 1 Introduction -- 2 Methods -- 3 Results -- References -- Deep Feature Selection: Theory and Application to Identify Enhancers and Promoters -- 1 Introduction -- 2 Method -- 2.1 Deep Feature Selection -- 2.2 Learning Model Parameter -- 2.3 Shallow DFS is not Equivalent to LASSO. 327 $a3 Applying DFS to Enhancer-Promoter Classification -- 3.1 Data -- 3.2 Comparing Test Accuracy and Computing Time -- 3.3 Feature Analysis -- 4 Conclusion -- References -- Protein Contact Prediction by Integrating Joint Evolutionary Coupling Analysis and Supervised Learning -- References -- ScaffMatch: Scaffolding Algorithm Based on Maximum Weight Matching -- References -- A Symmetric Length-Aware Enrichment Test -- 1 Introduction -- 2 The Model -- 3 The Asymmetry Problem -- 4 Computing the p-Value of the Symmetric Test -- 5 Comparison of the Symmetric p-Value Approximation Schemes -- 6 Discussion -- 6.1 Normal Approximation - Exact Computation of the Conditional Moments -- 6.2 The Saddlepoint Approximation (Details) -- References -- Functional Alignment of Metabolic Networks -- 1 Introduction -- 2 Preliminaries -- 2.1 Metabolic Modeling -- 2.2 Problem Definition -- 3 The Alignment Algorithm -- 3.1 Similarity Computation -- 3.2 Alignment Computation -- 3.3 Media Selection and the Final Alignment -- 4 Results -- 4.1 Performance Evaluation -- 4.2 Aligning Similar Models -- 4.3 Aligning the Yeast and Human Models -- 5 Conclusions -- References -- Joint Inference of Genome Structure and Content in Heterogeneous Tumor Samples -- References -- Ultra-Large Alignments Using Ensembles of Hidden Markov Models -- 1 Introduction and Motivation -- 2 UPP: Ultra-Large Alignment Using Phylogeny-aware Profiles -- References -- Topological Signatures for Population Admixture -- 1 Background -- 1.1 Problem Setting -- 2 Topology Model -- 3 Experiments -- 3.1 Experiments on Avocado Germplasm -- 4 Conclusion -- References -- Haplotype Allele Frequency (HAF) Score: Predicting Carriers of Ongoing Selective Sweeps Without Knowledge of the Adaptive Allele -- References -- Gap Filling as Exact Path Length Problem -- 1 Introduction and Related Work. 327 $a2 Gap Filling as Exact Path Length Problem. 330 $aThis book constitutes the refereed proceedings of the 19th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2015, held in Warsaw, Poland, in April 2015. The 36 extended abstracts were carefully reviewed and selected from 170 submissions. They report on original research in all areas of computational molecular biology and bioinformatics. 410 0$aLecture Notes in Bioinformatics,$x2366-6331 ;$v9029 606 $aBioinformatics 606 $aBiomathematics 606 $aData mining 606 $aAlgorithms 606 $aComputational and Systems Biology 606 $aMathematical and Computational Biology 606 $aData Mining and Knowledge Discovery 606 $aAlgorithms 615 0$aBioinformatics. 615 0$aBiomathematics. 615 0$aData mining. 615 0$aAlgorithms. 615 14$aComputational and Systems Biology. 615 24$aMathematical and Computational Biology. 615 24$aData Mining and Knowledge Discovery. 615 24$aAlgorithms. 676 $a570.285 702 $aPrzytycka$b Teresa M$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484286803321 996 $aResearch in Computational Molecular Biology$9772065 997 $aUNINA