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Algorithms in Bioinformatics

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

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Simultaneous Relevant Feature Identification and Classification in High-Dimensional Spaces
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    Chapter 2 Pooled Genomic Indexing (PGI): Mathematical Analysis and Experiment Design
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    Chapter 3 Practical Algorithms and Fixed-Parameter Tractability for the Single Individual SNP Haplotyping Problem
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    Chapter 4 Methods for Inferring Block-Wise Ancestral History from Haploid Sequences
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    Chapter 5 Finding Signal Peptides in Human Protein Sequences Using Recurrent Neural Networks
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    Chapter 6 Generating Peptide Candidates from Amino-Acid Sequence Databases for Protein Identification via Mass Spectrometry
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    Chapter 7 Improved Approximation Algorithms for NMR Spectral Peak Assignment
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    Chapter 8 Efficient Methods for Inferring Tandem Duplication History
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    Chapter 9 Genome Rearrangement Phylogeny Using Weighbor
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    Chapter 10 Segment Match Refinement and Applications
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    Chapter 11 Extracting Common Motifs under the Levenshtein Measure: Theory and Experimentation
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    Chapter 12 Fast Algorithms for Finding Maximum-Density Segments of a Sequence with Applications to Bioinformatics
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    Chapter 13 FAUST: An Algorithm for Extracting Functionally Relevant Templates from Protein Structures
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    Chapter 14 Efficient Unbound Docking of Rigid Molecules
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    Chapter 15 A Method of Consolidating and Combining EST and mRNA Alignments to a Genome to Enumerate Supported Splice Variants
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    Chapter 16 A Method to Improve the Performance of Translation Start Site Detection and Its Application for Gene Finding
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    Chapter 17 Comparative Methods for Gene Structure Prediction in Homologous Sequences
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    Chapter 18 MultiProt — A Multiple Protein Structural Alignment Algorithm
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    Chapter 19 A Hybrid Scoring Function for Protein Multiple Alignment
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    Chapter 20 Functional Consequences in Metabolic Pathways from Phylogenetic Profiles
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    Chapter 21 Finding Founder Sequences from a Set of Recombinants
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    Chapter 22 Estimating the Deviation from a Molecular Clock
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    Chapter 23 Exploring the Set of All Minimal Sequences of Reversals — An Application to Test the Replication-Directed Reversal Hypothesis
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    Chapter 24 Approximating the Expected Number of Inversions Given the Number of Breakpoints
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    Chapter 25 Invited Lecture — Accelerating Smith-Waterman Searches
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    Chapter 26 Sequence-Length Requirements for Phylogenetic Methods
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    Chapter 27 Fast and Accurate Phylogeny Reconstruction Algorithms Based on the Minimum-Evolution Principle
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    Chapter 28 NeighborNet: An Agglomerative Method for the Construction of Planar Phylogenetic Networks
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    Chapter 29 On the Control of Hybridization Noise in DNA Sequencing-by-Hybridization
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    Chapter 30 Restricting SBH Ambiguity via Restriction Enzymes
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    Chapter 31 Invited Lecture — Molecule as Computation: Towards an Abstraction of Biomolecular Systems
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    Chapter 32 Fast Optimal Genome Tiling with Applications to Microarray Design and Homology Search
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    Chapter 33 Rapid Large-Scale Oligonucleotide Selection for Microarrays
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    Chapter 34 Border Length Minimization in DNA Array Design *
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    Chapter 35 The Enhanced Suffix Array and Its Applications to Genome Analysis
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    Chapter 36 The Algorithmic of Gene Teams
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    Chapter 37 Combinatorial Use of Short Probes for Differential Gene Expression Profiling
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    Chapter 38 Designing Specific Oligonucleotide Probes for the Entire S. cerevisiae Transcriptome
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    Chapter 39 K -ary Clustering with Optimal Leaf Ordering for Gene Expression Data
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    Chapter 40 Inversion Medians Outperform Breakpoint Medians in Phylogeny Reconstruction from Gene-Order Data
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    Chapter 41 Modified Mincut Supertrees
Attention for Chapter 35: The Enhanced Suffix Array and Its Applications to Genome Analysis
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Citations

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Chapter title
The Enhanced Suffix Array and Its Applications to Genome Analysis
Chapter number 35
Book title
Algorithms in Bioinformatics
Published in
Lecture notes in computer science, September 2002
DOI 10.1007/3-540-45784-4_35
Book ISBNs
978-3-54-044211-0, 978-3-54-045784-8
Authors

Mohamed Ibrahim Abouelhoda, Stefan Kurtz, Enno Ohlebusch

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 7%
United Kingdom 3 4%
France 1 1%
Sweden 1 1%
Russia 1 1%
Denmark 1 1%
Unknown 62 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 22%
Student > Ph. D. Student 15 20%
Professor > Associate Professor 8 11%
Student > Master 6 8%
Student > Bachelor 5 7%
Other 16 22%
Unknown 8 11%
Readers by discipline Count As %
Computer Science 32 43%
Agricultural and Biological Sciences 23 31%
Engineering 3 4%
Mathematics 2 3%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 2 3%
Unknown 10 14%
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 06 February 2014.
All research outputs
#7,453,126
of 22,785,242 outputs
Outputs from Lecture notes in computer science
#2,485
of 8,124 outputs
Outputs of similar age
#15,589
of 46,383 outputs
Outputs of similar age from Lecture notes in computer science
#15
of 40 outputs
Altmetric has tracked 22,785,242 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 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 55% 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 46,383 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.