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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
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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
Overall attention for this book and its chapters
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Mentioned by

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1 Wikipedia page

Readers on

mendeley
26 Mendeley
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Title
Algorithms in Bioinformatics
Published by
ADS, August 2010
DOI 10.1007/978-3-642-15294-8
ISBNs
978-3-64-215293-1, 978-3-64-215294-8
Editors

Moulton, Vincent, Singh, Mona

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 15%
Norway 1 4%
Germany 1 4%
Unknown 20 77%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 31%
Student > Master 7 27%
Researcher 6 23%
Student > Bachelor 3 12%
Lecturer > Senior Lecturer 1 4%
Other 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 42%
Computer Science 10 38%
Mathematics 2 8%
Biochemistry, Genetics and Molecular Biology 1 4%
Social Sciences 1 4%
Other 1 4%
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 14 May 2014.
All research outputs
#7,540,093
of 23,002,898 outputs
Outputs from ADS
#9,305
of 37,435 outputs
Outputs of similar age
#33,974
of 94,456 outputs
Outputs of similar age from ADS
#132
of 399 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 94,456 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 399 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.