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Research in Computational Molecular Biology

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Cover of 'Research in Computational Molecular Biology'

Table of Contents

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    Book Overview
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    Chapter 1 Tractatus: An Exact and Subquadratic Algorithm for Inferring Identical-by-Descent Multi-shared Haplotype Tracts
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    Chapter 2 HapTree: A Novel Bayesian Framework for Single Individual Polyplotyping Using NGS Data
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    Chapter 3 Changepoint Analysis for Efficient Variant Calling
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    Chapter 4 On the Representation of de Bruijn Graphs
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    Chapter 5 Exact Learning of RNA Energy Parameters from Structure
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    Chapter 6 An Alignment-Free Regression Approach for Estimating Allele-Specific Expression Using RNA-Seq Data
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    Chapter 7 The Generating Function Approach for Peptide Identification in Spectral Networks
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    Chapter 8 Decoding coalescent hidden Markov models in linear time.
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    Chapter 9 AptaCluster – A Method to Cluster HT-SELEX Aptamer Pools and Lessons from Its Application
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    Chapter 10 Learning Sequence Determinants of Protein: Protein Interaction Specificity with Sparse Graphical Models
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    Chapter 11 On Sufficient Statistics of Least-Squares Superposition of Vector Sets
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    Chapter 12 IDBA-MTP: A Hybrid MetaTranscriptomic Assembler Based on Protein Information
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    Chapter 13 MRFalign: Protein Homology Detection through Alignment of Markov Random Fields
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    Chapter 14 An Integrated Model of Multiple-Condition ChIP-Seq Data Reveals Predeterminants of Cdx2 Binding
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    Chapter 15 PASTA: Ultra-Large Multiple Sequence Alignment
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    Chapter 16 Fast Flux Module Detection Using Matroid Theory
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    Chapter 17 Building a Pangenome Reference for a Population
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    Chapter 18 CSAX: Characterizing Systematic Anomalies in eXpression Data
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    Chapter 19 WhatsHap: Haplotype Assembly for Future-Generation Sequencing Reads
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    Chapter 20 Simultaneous Inference of Cancer Pathways and Tumor Progression from Cross-Sectional Mutation Data
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    Chapter 21 dipSPAdes: Assembler for Highly Polymorphic Diploid Genomes
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    Chapter 22 An Exact Algorithm to Compute the DCJ Distance for Genomes with Duplicate Genes
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    Chapter 23 HIT’nDRIVE: Multi-driver Gene Prioritization Based on Hitting Time
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    Chapter 24 Modeling Mutual Exclusivity of Cancer Mutations
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    Chapter 25 Viral Quasispecies Assembly via Maximal Clique Enumeration
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    Chapter 26 Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency
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    Chapter 27 Bayesian Multiple Protein Structure Alignment
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    Chapter 28 Gene-Gene Interactions Detection Using a Two-Stage Model
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    Chapter 29 A Geometric Clustering Algorithm and Its Applications to Structural Data
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    Chapter 30 A Spatial-Aware Haplotype Copying Model with Applications to Genotype Imputation
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    Chapter 31 Traversing the k-mer Landscape of NGS Read Datasets for Quality Score Sparsification
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    Chapter 32 Reconstructing Breakage Fusion Bridge Architectures Using Noisy Copy Numbers
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    Chapter 33 Reconciliation with Non-binary Gene Trees Revisited
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    Chapter 34 Learning Protein-DNA Interaction Landscapes by Integrating Experimental Data through Computational Models
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    Chapter 35 Imputation of Quantitative Genetic Interactions in Epistatic MAPs by Interaction Propagation Matrix Completion
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Title
Research in Computational Molecular Biology
Published by
Springer International Publishing, February 2014
DOI 10.1007/978-3-319-05269-4
ISBNs
978-3-31-905268-7, 978-3-31-905269-4
Editors

Sharan, Roded

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X Demographics

The data shown below were collected from the profiles of 32 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 25%
Student > Master 3 25%
Student > Ph. D. Student 2 17%
Professor 1 8%
Other 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 58%
Computer Science 2 17%
Environmental Science 1 8%
Chemistry 1 8%
Unknown 1 8%