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Research in Computational Molecular Biology

Overview of attention for book
Cover of 'Research in Computational Molecular Biology'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Searching Protein 3-D Structures in Linear Time
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    Chapter 2 Optimization-Based Peptide Mass Fingerprinting for Protein Mixture Identification
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    Chapter 3 Boosting Protein Threading Accuracy
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    Chapter 4 New Perspectives on Gene Family Evolution: Losses in Reconciliation and a Link with Supertrees
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    Chapter 5 A Probabilistic Graphical Model for Ab Initio Folding
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    Chapter 6 Topology-Free Querying of Protein Interaction Networks
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    Chapter 7 Cross Species Expression Analysis of Innate Immune Response
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    Chapter 8 Haplotype Inference in Complex Pedigrees
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    Chapter 9 Storage and Retrieval of Individual Genomes
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    Chapter 10 An Online Approach for Mining Collective Behaviors from Molecular Dynamics Simulations
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    Chapter 11 Parameter Synthesis in Nonlinear Dynamical Systems: Application to Systems Biology
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    Chapter 12 Spatial Clustering of Multivariate Genomic and Epigenomic Information
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    Chapter 13 How Many Bootstrap Replicates Are Necessary?
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    Chapter 14 A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series
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    Chapter 15 Incorporating Nucleosomes into Thermodynamic Models of Transcription Regulation
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    Chapter 16 Combinatorial Algorithms for Structural Variation Detection in High Throughput Sequenced Genomes
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    Chapter 17 Optimizing PCR Assays for DNA Based Cancer Diagnostics
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    Chapter 18 The Multi-State Perfect Phylogeny Problem with Missing and Removable Data: Solutions via Integer-Programming and Chordal Graph Theory
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    Chapter 19 COE: A General Approach for Efficient Genome-Wide Two-Locus Epistasis Test in Disease Association Study
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    Chapter 20 Overlapping Pools for High Throughput Targeted Resequencing
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    Chapter 21 Deep Sequencing of a Genetically Heterogeneous Sample: Local Haplotype Reconstruction and Read Error Correction
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    Chapter 22 Lifting Prediction to Alignment of RNA Pseudoknots
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    Chapter 23 Detection of Locally Over-Represented GO Terms in Protein-Protein Interaction Networks
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    Chapter 24 Protein Fragment Swapping: A Method for Asymmetric, Selective Site-Directed Recombination
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    Chapter 25 Research in Computational Molecular Biology
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    Chapter 26 Shared Peptides in Mass Spectrometry Based Protein Quantification
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    Chapter 27 Evaluating Between-Pathway Models with Expression Data
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    Chapter 28 Sorting Signed Permutations by Inversions in O ( n log n ) Time
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    Chapter 29 Finding Biologically Accurate Clusterings in Hierarchical Tree Decompositions Using the Variation of Information
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    Chapter 30 Identification and Frequency Estimation of Inversion Polymorphisms from Haplotype Data
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    Chapter 31 On the Relationship between DNA Periodicity and Local Chromatin Structure
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    Chapter 32 Phylogenies without Branch Bounds: Contracting the Short, Pruning the Deep
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    Chapter 33 Detecting the Presence and Absence of Causal Relationships between Expression of Yeast Genes with Very Few Samples
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    Chapter 34 An Adaptive and Memory Efficient Algorithm for Genotype Imputation
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    Chapter 35 A Statistical Framework for the Functional Analysis of Metagenomes
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    Chapter 36 Learning Models for Aligning Protein Sequences with Predicted Secondary Structure
Overall attention for this book and its chapters
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Mentioned by

wikipedia
1 Wikipedia page

Citations

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5 Dimensions

Readers on

mendeley
39 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Research in Computational Molecular Biology
Published by
ADS, May 2009
DOI 10.1007/978-3-642-02008-7
ISBNs
978-3-64-202007-0, 978-3-64-202008-7
Editors

Batzoglou, Serafim

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 8%
Germany 1 3%
Japan 1 3%
Denmark 1 3%
Unknown 33 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 23%
Researcher 9 23%
Student > Master 6 15%
Unspecified 4 10%
Other 3 8%
Other 8 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 26%
Computer Science 9 23%
Mathematics 5 13%
Unspecified 4 10%
Biochemistry, Genetics and Molecular Biology 4 10%
Other 7 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 September 2011.
All research outputs
#8,882,501
of 26,017,215 outputs
Outputs from ADS
#7,637
of 26,744 outputs
Outputs of similar age
#38,553
of 106,751 outputs
Outputs of similar age from ADS
#79
of 255 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 26,744 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 106,751 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 255 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.