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Algorithms in Bioinformatics

Overview of attention for book
Cover of 'Algorithms in Bioinformatics'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Automated Segmentation of DNA Sequences with Complex Evolutionary Histories
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    Chapter 2 Towards a Practical O(n logn) Phylogeny Algorithm
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    Chapter 3 A Mathematical Programming Approach to Marker-Assisted Gene Pyramiding
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    Chapter 4 Localized Genome Assembly from Reads to Scaffolds: Practical Traversal of the Paired String Graph
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    Chapter 5 Stochastic Errors vs. Modeling Errors in Distance Based Phylogenetic Reconstructions
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    Chapter 6 Constructing Large Conservative Supertrees
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    Chapter 7 PepCrawler: A Fast RRT–Like Algorithm for High–Resolution Refinement and Binding–Affinity Estimation of Peptide Inhibitors
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    Chapter 8 Removing Noise from Gene Trees
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    Chapter 9 Boosting Binding Sites Prediction Using Gene’s Positions
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    Chapter 10 Constructing Perfect Phylogenies and Proper Triangulations for Three-State Characters
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    Chapter 11 On a Conjecture about Compatibility of Multi-states Characters
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    Chapter 12 Learning Protein Functions from Bi-relational Graph of Proteins and Function Annotations
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    Chapter 13 Graph-Based Decomposition of Biochemical Reaction Networks into Monotone Subsystems
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    Chapter 14 Seed-Set Construction by Equi-entropy Partitioning for Efficient and Sensitive Short-Read Mapping
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    Chapter 15 A Practical Algorithm for Ancestral Rearrangement Reconstruction
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    Chapter 16 Bootstrapping Phylogenies Inferred from Rearrangement Data
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    Chapter 17 Speeding Up Bayesian HMM by the Four Russians Method
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    Chapter 18 Using Dominances for Solving the Protein Family Identification Problem
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    Chapter 19 Maximum Likelihood Estimation of Incomplete Genomic Spectrum from HTS Data
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    Chapter 20 Algorithm for Identification of Piecewise Smooth Hybrid Systems: Application to Eukaryotic Cell Cycle Regulation
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    Chapter 21 Parsimonious Reconstruction of Network Evolution
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    Chapter 22 A Combinatorial Framework for Designing (Pseudoknotted) RNA Algorithms
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    Chapter 23 Indexing Finite Language Representation of Population Genotypes
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    Chapter 24 Efficiently Solvable Perfect Phylogeny Problems on Binary and k -State Data with Missing Values
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    Chapter 25 Separating Metagenomic Short Reads into Genomes via Clustering
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    Chapter 26 Finding Driver Pathways in Cancer: Models and Algorithms
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    Chapter 27 Clustering with Overlap for Genetic Interaction Networks via Local Search Optimization
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    Chapter 28 Dynamic Programming Algorithms for Efficiently Computing Cosegmentations between Biological Images
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    Chapter 29 GASTS: Parsimony Scoring under Rearrangements
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    Chapter 30 OMG! Orthologs in Multiple Genomes – Competing Graph-Theoretical Formulations
Attention for Chapter 23: Indexing Finite Language Representation of Population Genotypes
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  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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Chapter title
Indexing Finite Language Representation of Population Genotypes
Chapter number 23
Book title
Algorithms in Bioinformatics
Published in
arXiv, October 2010
DOI 10.1007/978-3-642-23038-7_23
Book ISBNs
978-3-64-223037-0, 978-3-64-223038-7
Authors

Jouni Sirén, Niko Välimäki, Veli Mäkinen, Sirén, Jouni, Välimäki, Niko, Mäkinen, Veli

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
France 1 3%
Norway 1 3%
Italy 1 3%
Brazil 1 3%
Finland 1 3%
Unknown 24 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 37%
Student > Ph. D. Student 9 30%
Student > Bachelor 4 13%
Student > Master 2 7%
Professor > Associate Professor 2 7%
Other 2 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 43%
Computer Science 9 30%
Biochemistry, Genetics and Molecular Biology 6 20%
Mathematics 1 3%
Unknown 1 3%
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 09 December 2014.
All research outputs
#13,836,627
of 24,666,614 outputs
Outputs from arXiv
#186,645
of 998,266 outputs
Outputs of similar age
#79,256
of 103,434 outputs
Outputs of similar age from arXiv
#349
of 754 outputs
Altmetric has tracked 24,666,614 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 998,266 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 81% 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 103,434 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 754 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 53% of its contemporaries.