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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 Protein Structure by Semidefinite Facial Reduction
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    Chapter 2 Ancestry Inference in Complex Admixtures via Variable-Length Markov Chain Linkage Models
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    Chapter 3 Charge Group Partitioning in Biomolecular Simulation
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    Chapter 4 Increased Methylation Variation in Epigenetic Domains across Cancer Types
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    Chapter 5 Estimating the Accuracy of Multiple Alignments and its Use in Parameter Advising
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    Chapter 6 Quantifying the Dynamics of Coupled Networks of Switches and Oscillators
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    Chapter 7 lobSTR: A Short Tandem Repeat Profiler for Personal Genomes
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    Chapter 8 Hap-seq: An Optimal Algorithm for Haplotype Phasing with Imputation Using Sequencing Data
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    Chapter 9 Ballast : A Ball-Based Algorithm for Structural Motifs
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    Chapter 10 Evolution of Genome Organization by Duplication and Loss: An Alignment Approach
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    Chapter 11 LoopWeaver – Loop Modeling by the Weighted Scaling of Verified Proteins
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    Chapter 12 A Robust Method for Transcript Quantification with RNA-seq Data
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    Chapter 13 Modeling the Breakage-Fusion-Bridge Mechanism: Combinatorics and Cancer Genomics
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    Chapter 14 TrueSight: Self-training Algorithm for Splice Junction Detection Using RNA-seq
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    Chapter 15 Synthetic Sequence Design for Signal Location Search
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    Chapter 16 The Three-Dimensional Architecture of a Bacterial Genome and Its Alteration by Genetic Perturbation
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    Chapter 17 Discovery of Complex Genomic Rearrangements in Cancer Using High-Throughput Sequencing
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    Chapter 18 Network-Based Prediction and Analysis of HIV Dependency Factors
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    Chapter 19 Structure-Guided Deimmunization of Therapeutic Proteins
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    Chapter 20 Evidence for Widespread Association of Mammalian Splicing and Conserved Long-Range RNA Structures
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    Chapter 21 Pathset Graphs: A Novel Approach for Comprehensive Utilization of Paired Reads in Genome Assembly
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    Chapter 22 Finding Maximum Colorful Subtrees in Practice
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    Chapter 23 Recovering the Tree-Like Trend of Evolution Despite Extensive Lateral Genetic Transfer: A Probabilistic Analysis
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    Chapter 24 RESQUE: Network Reduction Using Semi-Markov Random Walk Scores for Efficient Querying of Biological Networks (Extended Abstract)
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    Chapter 25 Detecting SNP-Induced Structural Changes in RNA: Application to Disease Studies
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    Chapter 26 A Model for Biased Fractionation after Whole Genome Duplication
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    Chapter 27 Exact Pattern Matching for RNA Structure Ensembles
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    Chapter 28 Reconstructing Boolean Models of Signaling
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    Chapter 29 Alignment-Free Sequence Comparison Based on Next Generation Sequencing Reads: Extended Abstract
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    Chapter 30 Differential Oestrogen Receptor Binding is Associated with Clinical Outcome in Breast Cancer
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    Chapter 31 Simultaneous Reconstruction of Multiple Signaling Pathways via the Prize-Collecting Steiner Forest Problem
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    Chapter 32 Function-Function Correlated Multi-Label Protein Function Prediction over Interaction Networks
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    Chapter 33 Predicting Protein-Protein Interactions from Multimodal Biological Data Sources via Nonnegative Matrix Tri-Factorization
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    Chapter 34 CNVeM: Copy Number Variation Detection Using Uncertainty of Read Mapping
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    Chapter 35 Structure-Based Whole Genome Realignment Reveals Many Novel Non-coding RNAs
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    Chapter 36 Probabilistic Inference of Viral Quasispecies Subject to Recombination
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    Chapter 37 Simultaneously Learning DNA Motif along with Its Position and Sequence Rank Preferences through EM Algorithm
Attention for Chapter 21: Pathset Graphs: A Novel Approach for Comprehensive Utilization of Paired Reads in Genome Assembly
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Chapter title
Pathset Graphs: A Novel Approach for Comprehensive Utilization of Paired Reads in Genome Assembly
Chapter number 21
Book title
Research in Computational Molecular Biology
Published in
Lecture notes in computer science, January 2012
DOI 10.1007/978-3-642-29627-7_21
Book ISBNs
978-3-64-229626-0, 978-3-64-229627-7
Authors

Son K. Pham, Dmitry Antipov, Alexander Sirotkin, Glenn Tesler, Pavel A. Pevzner, Max A. Alekseyev

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 6%
Canada 1 6%
Unknown 14 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 38%
Researcher 3 19%
Student > Bachelor 2 13%
Student > Doctoral Student 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 2 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 44%
Biochemistry, Genetics and Molecular Biology 4 25%
Computer Science 1 6%
Mathematics 1 6%
Unknown 3 19%