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Research in Computational Molecular Biology

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

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 An Algorithmic Framework for Predicting Side-Effects of Drugs
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    Chapter 2 SubMAP: Aligning Metabolic Pathways with Subnetwork Mappings
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    Chapter 3 Admixture Aberration Analysis: Application to Mapping in Admixed Population Using Pooled DNA
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    Chapter 4 Pathway-Based Functional Analysis of Metagenomes
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    Chapter 5 Hierarchical Generative Biclustering for MicroRNA Expression Analysis
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    Chapter 6 Subnetwork State Functions Define Dysregulated Subnetworks in Cancer
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    Chapter 7 Proteome Coverage Prediction for Integrated Proteomics Datasets
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    Chapter 8 Discovering Regulatory Overlapping RNA Transcripts
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    Chapter 9 Alignment-Free Phylogenetic Reconstruction
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    Chapter 10 Inference of Isoforms from Short Sequence Reads
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    Chapter 11 The Clark Phase-able Sample Size Problem: Long-Range Phasing and Loss of Heterozygosity in GWAS
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    Chapter 12 A New Algorithm for Improving the Resolution of Cryo-EM Density Maps
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    Chapter 13 Towards Automated Structure-Based NMR Resonance Assignment
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    Chapter 14 Gapped Spectral Dictionaries and Their Applications for Database Searches of Tandem Mass Spectra
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    Chapter 15 naiveBayesCall: An Efficient Model-Based Base-Calling Algorithm for High-Throughput Sequencing
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    Chapter 16 Extracting Between-Pathway Models from E-MAP Interactions Using Expected Graph Compression
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    Chapter 17 Simultaneous Identification of Causal Genes and Dys-Regulated Pathways in Complex Diseases
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    Chapter 18 Incremental Signaling Pathway Modeling by Data Integration
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    Chapter 19 The Poisson Margin Test for Normalisation Free Significance Analysis of NGS Data
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    Chapter 20 Compressing Genomic Sequence Fragments Using SlimGene
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    Chapter 21 On the Genealogy of Asexual Diploids
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    Chapter 22 Genovo: De Novo Assembly for Metagenomes
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    Chapter 23 MoGUL: Detecting Common Insertions and Deletions in a Population
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    Chapter 24 Generalized Buneman Pruning for Inferring the Most Parsimonious Multi-state Phylogeny
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    Chapter 25 Seed Design Framework for Mapping SOLiD Reads
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    Chapter 26 Accurate Estimation of Expression Levels of Homologous Genes in RNA-seq Experiments
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    Chapter 27 Cactus Graphs for Genome Comparisons
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    Chapter 28 IDBA – A Practical Iterative de Bruijn Graph De Novo Assembler
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    Chapter 29 Predicting Nucleosome Positioning Using Multiple Evidence Tracks
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    Chapter 30 Dense Subgraphs with Restrictions and Applications to Gene Annotation Graphs
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    Chapter 31 Time and Space Efficient RNA-RNA Interaction Prediction via Sparse Folding
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    Chapter 32 HLA Type Inference via Haplotypes Identical by Descent
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    Chapter 33 Algorithms for Detecting Significantly Mutated Pathways in Cancer
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    Chapter 34 Leveraging sequence classification by taxonomy-based multitask learning
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    Chapter 35 A Novel Abundance-Based Algorithm for Binning Metagenomic Sequences Using l-Tuples
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    Chapter 36 Research in Computational Molecular Biology
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    Chapter 37 Genomic DNA k-mer Spectra: Models and Modalities
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    Chapter 38 Deciphering the Swine-Flu Pandemics of 1918 and 2009
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    Chapter 39 Distinguishing Direct versus Indirect Transcription Factor-DNA Interactions
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    Chapter 40 A Self-regulatory System of Interlinked Signaling Feedback Loops Controls Mouse Limb Patterning
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    Chapter 41 Automated High-Dimensional Flow Cytometric Data Analysis
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    Chapter 42 Discovering Transcriptional Modules by Combined Analysis of Expression Profiles and Regulatory Sequences
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
1 X user
wikipedia
7 Wikipedia pages

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
4 Mendeley
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Title
Research in Computational Molecular Biology
Published by
ADS, January 2010
DOI 10.1007/978-3-642-12683-3
ISBNs
978-3-64-212682-6, 978-3-64-212683-3
Editors

Bonnie Berger

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 25%
Belgium 1 25%
Unknown 2 50%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 75%
Student > Ph. D. Student 3 75%
Student > Bachelor 2 50%
Other 1 25%
Professor > Associate Professor 1 25%
Other 1 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 125%
Unspecified 2 50%
Computer Science 2 50%
Biochemistry, Genetics and Molecular Biology 1 25%
Social Sciences 1 25%
Other 0 0%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 14 September 2022.
All research outputs
#8,262,193
of 26,017,215 outputs
Outputs from ADS
#7,047
of 27,022 outputs
Outputs of similar age
#50,457
of 177,915 outputs
Outputs of similar age from ADS
#219
of 629 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 27,022 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 72% of its peers.
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 177,915 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 629 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.