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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
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    Chapter 1 Bacterial Community Reconstruction Using Compressed Sensing
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    Chapter 2 Constrained De Novo Sequencing of Peptides with Application to Conotoxins
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    Chapter 3 Metabolic Network Analysis Demystified
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    Chapter 4 Causal Reasoning on Biological Networks: Interpreting Transcriptional Changes
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    Chapter 5 Hapsembler: An Assembler for Highly Polymorphic Genomes
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    Chapter 6 Discovery and Characterization of Chromatin States for Systematic Annotation of the Human Genome
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    Chapter 7 Disease Gene Prioritization Based on Topological Similarity in Protein-Protein Interaction Networks
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    Chapter 8 Understanding Gene Sequence Variation in the Context of Transcription Regulation in Yeast
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    Chapter 9 Identifying Branched Metabolic Pathways by Merging Linear Metabolic Pathways
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    Chapter 10 A Probabilistic Model for Sequence Alignment with Context-Sensitive Indels
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    Chapter 11 Simultaneous Structural Variation Discovery in Multiple Paired-End Sequenced Genomes
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    Chapter 12 Variable Selection through Correlation Sifting
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    Chapter 13 Weighted Genomic Distance Can Hardly Impose a Bound on the Proportion of Transpositions
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    Chapter 14 PSAR: Measuring Multiple Sequence Alignment Reliability by Probabilistic Sampling
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    Chapter 15 Pedigree Reconstruction Using Identity by Descent
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    Chapter 16 A Quantitative Model of Glucose Signaling in Yeast Reveals an Incoherent Feed Forward Loop Leading to a Specific, Transient Pulse of Transcription
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    Chapter 17 Inferring Mechanisms of Compensation from E-MAP and SGA Data Using Local Search Algorithms for Max Cut
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    Chapter 18 IsoLasso: A LASSO Regression Approach to RNA-Seq Based Transcriptome Assembly
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    Chapter 19 Haplotype Reconstruction in Large Pedigrees with Many Untyped Individuals
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    Chapter 20 Learning Cellular Sorting Pathways Using Protein Interactions and Sequence Motifs
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    Chapter 21 Research in Computational Molecular Biology
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    Chapter 22 Paired de Bruijn Graphs: A Novel Approach for Incorporating Mate Pair Information into Genome Assemblers
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    Chapter 23 An Optimization-Based Sampling Scheme for Phylogenetic Trees
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    Chapter 24 Multiplex De Novo Sequencing of Peptide Antibiotics
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    Chapter 25 Fractal and Transgenerational Genetic Effects on Phenotypic Variation and Disease Risk
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    Chapter 26 AREM: Aligning Short Reads from ChIP-Sequencing by Expectation Maximization
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    Chapter 27 Blocked Pattern Matching Problem and Its Applications in Proteomics
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    Chapter 28 A Three-Dimensional Model of the Yeast Genome
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    Chapter 29 Optimization of Combinatorial Mutagenesis
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    Chapter 30 Seeing More Is Knowing More: V3D Enables Real-Time 3D Visualization and Quantitative Analysis of Large-Scale Biological Image Data Sets
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    Chapter 31 T-IDBA: A de novo Iterative de Bruijn Graph Assembler for Transcriptome
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    Chapter 32 Experiment Specific Expression Patterns
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    Chapter 33 Geometric Interpretation of Gene Expression by Sparse Reconstruction of Transcript Profiles
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    Chapter 34 A Ribosome Flow Model for Analyzing Translation Elongation
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    Chapter 35 Research in Computational Molecular Biology
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    Chapter 36 Computing Fragmentation Trees from Metabolite Multiple Mass Spectrometry Data
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    Chapter 37 Research in Computational Molecular Biology : 15th Annual International Conference, RECOMB 2011, Vancouver, BC, Canada, March 28-31, 2011. Proceedings
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    Chapter 38 Research in Computational Molecular Biology
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    Chapter 39 Optimally Orienting Physical Networks
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    Chapter 40 Opera: Reconstructing Optimal Genomic Scaffolds with High-Throughput Paired-End Sequences
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    Chapter 41 Increasing Power of Groupwise Association Test with Likelihood Ratio Test
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    Chapter 42 Conservative Extensions of Linkage Disequilibrium Measures from Pairwise to Multi-loci and Algorithms for Optimal Tagging SNP Selection
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    Chapter 43 Research in Computational Molecular Biology
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    Chapter 44 De Novo Discovery of Mutated Driver Pathways in Cancer
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    Chapter 45 An Unbiased Adaptive Sampling Algorithm for the Exploration of RNA Mutational Landscapes under Evolutionary Pressure
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    Chapter 46 Nonparametric Combinatorial Sequence Models
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    Chapter 47 Algorithms for MDC-Based Multi-locus Phylogeny Inference
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    Chapter 48 Rich Parameterization Improves RNA Structure Prediction
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    Chapter 49 Research in Computational Molecular Biology
Overall attention for this book and its chapters
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
403 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, January 2011
DOI 10.1007/978-3-642-20036-6
ISBNs
978-3-64-220035-9, 978-3-64-220036-6
Editors

Vineet Bafna, S. Cenk Sahinalp

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 403 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 21 5%
Brazil 4 <1%
United Kingdom 3 <1%
Germany 3 <1%
Norway 2 <1%
India 2 <1%
Belgium 2 <1%
Netherlands 2 <1%
Portugal 2 <1%
Other 19 5%
Unknown 343 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 142 35%
Researcher 90 22%
Student > Master 45 11%
Student > Bachelor 34 8%
Student > Doctoral Student 21 5%
Other 71 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 181 45%
Computer Science 101 25%
Biochemistry, Genetics and Molecular Biology 44 11%
Unspecified 23 6%
Engineering 11 3%
Other 43 11%
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 24 June 2018.
All research outputs
#7,540,093
of 23,002,898 outputs
Outputs from ADS
#9,305
of 37,435 outputs
Outputs of similar age
#54,772
of 181,661 outputs
Outputs of similar age from ADS
#240
of 752 outputs
Altmetric has tracked 23,002,898 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,435 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 29th percentile – i.e., 29% 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 181,661 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 752 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.