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Algorithms in Bioinformatics

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Cover of 'Algorithms in Bioinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 A Worst-Case and Practical Speedup for the RNA Co-folding Problem Using the Four-Russians Idea
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    Chapter 2 Sparse Estimation for Structural Variability
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    Chapter 3 Data Structures for Accelerating Tanimoto Queries on Real Valued Vectors
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    Chapter 4 Sparsification of RNA Structure Prediction Including Pseudoknots
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    Chapter 5 Prediction of RNA Secondary Structure Including Kissing Hairpin Motifs
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    Chapter 6 Reducing the Worst Case Running Times of a Family of RNA and CFG Problems, Using Valiant’s Approach
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    Chapter 7 Reconstruction of Ancestral Genome Subject to Whole Genome Duplication, Speciation, Rearrangement and Loss
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    Chapter 8 Genomic Distance with DCJ and Indels
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    Chapter 9 Listing All Sorting Reversals in Quadratic Time
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    Chapter 10 Discovering Kinship through Small Subsets
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    Chapter 11 Fixed-Parameter Algorithm for Haplotype Inferences on General Pedigrees with Small Number of Sites
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    Chapter 12 Haplotypes versus Genotypes on Pedigrees
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    Chapter 13 Haplotype Inference on Pedigrees with Recombinations and Mutations
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    Chapter 14 Identifying Rare Cell Populations in Comparative Flow Cytometry
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    Chapter 15 Fast Mapping and Precise Alignment of AB SOLiD Color Reads to Reference DNA
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    Chapter 16 Design of an Efficient Out-of-Core Read Alignment Algorithm
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    Chapter 17 Estimation of Alternative Splicing isoform Frequencies from RNA-Seq Data
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    Chapter 18 Improved Orientations of Physical Networks
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    Chapter 19 Enumerating Chemical Organisations in Consistent Metabolic Networks: Complexity and Algorithms
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    Chapter 20 Efficient Subgraph Frequency Estimation with G-Tries
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    Chapter 21 Accuracy Guarantees for Phylogeny Reconstruction Algorithms Based on Balanced Minimum Evolution
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    Chapter 22 The Complexity of Inferring a Minimally Resolved Phylogenetic Supertree
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    Chapter 23 Reducing Multi-state to Binary Perfect Phylogeny with Applications to Missing, Removable, Inserted, and Deleted Data
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    Chapter 24 An Experimental Study of Quartets MaxCut and Other Supertree Methods
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    Chapter 25 An Efficient Method for DNA-Based Species Assignment via Gene Tree and Species Tree Reconciliation
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    Chapter 26 Effective Algorithms for Fusion Gene Detection
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    Chapter 27 Swiftly Computing Center Strings
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    Chapter 28 Speeding Up Exact Motif Discovery by Bounding the Expected Clump Size
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    Chapter 29 Pair HMM Based Gap Statistics for Re-evaluation of Indels in Alignments with Affine Gap Penalties
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    Chapter 30 Quantifying the Strength of Natural Selection of a Motif Sequence
Attention for Chapter 25: An Efficient Method for DNA-Based Species Assignment via Gene Tree and Species Tree Reconciliation
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Chapter title
An Efficient Method for DNA-Based Species Assignment via Gene Tree and Species Tree Reconciliation
Chapter number 25
Book title
Algorithms in Bioinformatics
Published by
Springer, Berlin, Heidelberg, September 2010
DOI 10.1007/978-3-642-15294-8_25
Book ISBNs
978-3-64-215293-1, 978-3-64-215294-8
Authors

Louxin Zhang, Yun Cui

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 13%
United States 2 9%
Turkey 1 4%
France 1 4%
Unknown 16 70%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 30%
Student > Ph. D. Student 4 17%
Student > Master 3 13%
Other 2 9%
Student > Bachelor 2 9%
Other 4 17%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 70%
Computer Science 3 13%
Biochemistry, Genetics and Molecular Biology 1 4%
Unspecified 1 4%
Medicine and Dentistry 1 4%
Other 0 0%
Unknown 1 4%