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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 Tractatus: An Exact and Subquadratic Algorithm for Inferring Identical-by-Descent Multi-shared Haplotype Tracts
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    Chapter 2 HapTree: A Novel Bayesian Framework for Single Individual Polyplotyping Using NGS Data
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    Chapter 3 Changepoint Analysis for Efficient Variant Calling
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    Chapter 4 On the Representation of de Bruijn Graphs
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    Chapter 5 Exact Learning of RNA Energy Parameters from Structure
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    Chapter 6 An Alignment-Free Regression Approach for Estimating Allele-Specific Expression Using RNA-Seq Data
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    Chapter 7 The Generating Function Approach for Peptide Identification in Spectral Networks
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    Chapter 8 Decoding coalescent hidden Markov models in linear time.
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    Chapter 9 AptaCluster – A Method to Cluster HT-SELEX Aptamer Pools and Lessons from Its Application
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    Chapter 10 Learning Sequence Determinants of Protein: Protein Interaction Specificity with Sparse Graphical Models
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    Chapter 11 On Sufficient Statistics of Least-Squares Superposition of Vector Sets
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    Chapter 12 IDBA-MTP: A Hybrid MetaTranscriptomic Assembler Based on Protein Information
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    Chapter 13 MRFalign: Protein Homology Detection through Alignment of Markov Random Fields
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    Chapter 14 An Integrated Model of Multiple-Condition ChIP-Seq Data Reveals Predeterminants of Cdx2 Binding
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    Chapter 15 PASTA: Ultra-Large Multiple Sequence Alignment
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    Chapter 16 Fast Flux Module Detection Using Matroid Theory
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    Chapter 17 Building a Pangenome Reference for a Population
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    Chapter 18 CSAX: Characterizing Systematic Anomalies in eXpression Data
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    Chapter 19 WhatsHap: Haplotype Assembly for Future-Generation Sequencing Reads
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    Chapter 20 Simultaneous Inference of Cancer Pathways and Tumor Progression from Cross-Sectional Mutation Data
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    Chapter 21 dipSPAdes: Assembler for Highly Polymorphic Diploid Genomes
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    Chapter 22 An Exact Algorithm to Compute the DCJ Distance for Genomes with Duplicate Genes
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    Chapter 23 HIT’nDRIVE: Multi-driver Gene Prioritization Based on Hitting Time
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    Chapter 24 Modeling Mutual Exclusivity of Cancer Mutations
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    Chapter 25 Viral Quasispecies Assembly via Maximal Clique Enumeration
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    Chapter 26 Correlated Protein Function Prediction via Maximization of Data-Knowledge Consistency
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    Chapter 27 Bayesian Multiple Protein Structure Alignment
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    Chapter 28 Gene-Gene Interactions Detection Using a Two-Stage Model
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    Chapter 29 A Geometric Clustering Algorithm and Its Applications to Structural Data
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    Chapter 30 A Spatial-Aware Haplotype Copying Model with Applications to Genotype Imputation
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    Chapter 31 Traversing the k-mer Landscape of NGS Read Datasets for Quality Score Sparsification
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    Chapter 32 Reconstructing Breakage Fusion Bridge Architectures Using Noisy Copy Numbers
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    Chapter 33 Reconciliation with Non-binary Gene Trees Revisited
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    Chapter 34 Learning Protein-DNA Interaction Landscapes by Integrating Experimental Data through Computational Models
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    Chapter 35 Imputation of Quantitative Genetic Interactions in Epistatic MAPs by Interaction Propagation Matrix Completion
Attention for Chapter 15: PASTA: Ultra-Large Multiple Sequence Alignment
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Chapter title
PASTA: Ultra-Large Multiple Sequence Alignment
Chapter number 15
Book title
Research in Computational Molecular Biology
Published in
Lecture notes in computer science, April 2014
DOI 10.1007/978-3-319-05269-4_15
Book ISBNs
978-3-31-905268-7, 978-3-31-905269-4
Authors

Siavash Mirarab, Nam Nguyen, Tandy Warnow, Mirarab, Siavash, Nguyen, Nam, Warnow, Tandy

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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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 5%
United States 1 2%
United Kingdom 1 2%
Unknown 50 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 24%
Researcher 9 16%
Student > Master 8 15%
Student > Bachelor 7 13%
Student > Doctoral Student 3 5%
Other 7 13%
Unknown 8 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 51%
Computer Science 10 18%
Biochemistry, Genetics and Molecular Biology 3 5%
Environmental Science 2 4%
Immunology and Microbiology 1 2%
Other 0 0%
Unknown 11 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 April 2014.
All research outputs
#18,369,403
of 22,751,628 outputs
Outputs from Lecture notes in computer science
#6,007
of 8,126 outputs
Outputs of similar age
#163,251
of 225,531 outputs
Outputs of similar age from Lecture notes in computer science
#64
of 88 outputs
Altmetric has tracked 22,751,628 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 14th percentile – i.e., 14% 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 225,531 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.

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