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Bioinformatics Research and Applications

Overview of attention for book
Cover of 'Bioinformatics Research and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 An Efficient Algorithm for Finding All Pairs k-Mismatch Maximal Common Substrings
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    Chapter 2 Poisson-Markov Mixture Model and Parallel Algorithm for Binning Massive and Heterogenous DNA Sequencing Reads
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    Chapter 3 FSG: Fast String Graph Construction for De Novo Assembly of Reads Data
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    Chapter 4 OVarCall: Bayesian Mutation Calling Method Utilizing Overlapping Paired-End Reads
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    Chapter 5 High-Performance Sensing of DNA Hybridization on Surface of Self-organized MWCNT-Arrays Decorated by Organometallic Complexes
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    Chapter 6 Towards a More Accurate Error Model for BioNano Optical Maps
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    Chapter 7 HapIso: An Accurate Method for the Haplotype-Specific Isoforms Reconstruction from Long Single-Molecule Reads
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    Chapter 8 Genome-Wide Structural Modeling of Protein-Protein Interactions
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    Chapter 9 Identifying Essential Proteins by Purifying Protein Interaction Networks
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    Chapter 10 Differential Functional Analysis and Change Motifs in Gene Networks to Explore the Role of Anti-sense Transcription
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    Chapter 11 Predicting MicroRNA-Disease Associations by Random Walking on Multiple Networks
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    Chapter 12 Progression Reconstruction from Unsynchronized Biological Data using Cluster Spanning Trees
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    Chapter 13 Consistent Visualization of Multiple Rigid Domain Decompositions of Proteins
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    Chapter 14 A Multiagent Ab Initio Protein Structure Prediction Tool for Novices and Experts
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    Chapter 15 Filling a Protein Scaffold with a Reference
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    Chapter 16 Mean Values of Gene Duplication and Loss Cost Functions
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    Chapter 17 The SCJ Small Parsimony Problem for Weighted Gene Adjacencies
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    Chapter 18 Path-Difference Median Trees
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    Chapter 19 NEMo: An Evolutionary Model with Modularity for PPI Networks
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    Chapter 20 Multi-genome Scaffold Co-assembly Based on the Analysis of Gene Orders and Genomic Repeats
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    Chapter 21 Selectoscope: A Modern Web-App for Positive Selection Analysis of Genomic Data
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    Chapter 22 Methods for Genome-Wide Analysis of MDR and XDR Tuberculosis from Belarus
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    Chapter 23 Haplotype Inference for Pedigrees with Few Recombinations
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    Chapter 24 Improved Detection of 2D Gel Electrophoresis Spots by Using Gaussian Mixture Model
Attention for Chapter 12: Progression Reconstruction from Unsynchronized Biological Data using Cluster Spanning Trees
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Chapter title
Progression Reconstruction from Unsynchronized Biological Data using Cluster Spanning Trees
Chapter number 12
Book title
Bioinformatics Research and Applications
Published in
Lecture notes in computer science, May 2016
DOI 10.1007/978-3-319-38782-6_12
Book ISBNs
978-3-31-938781-9, 978-3-31-938782-6
Authors

Ryan Eshleman, Rahul Singh

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Professor > Associate Professor 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Agricultural and Biological Sciences 1 50%

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