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Algorithms for Computational Biology

Overview of attention for book
Cover of 'Algorithms for Computational Biology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Comparative Genomics Approaches to Identifying Functionally Related Genes
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    Chapter 2 A Greedy Algorithm for Hierarchical Complete Linkage Clustering
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    Chapter 3 Vester’s Sensitivity Model for Genetic Networks with Time-Discrete Dynamics
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    Chapter 4 Complexity and Polynomial-Time Approximation Algorithms around the Scaffolding Problem
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    Chapter 5 Heuristics for the Sorting by Length-Weighted Inversions Problem on Signed Permutations
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    Chapter 6 On Low Treewidth Graphs and Supertrees
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    Chapter 7 Algorithms for Computational Biology
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    Chapter 8 On the Implementation of Quantitative Model Refinement
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    Chapter 9 HapMonster: A Statistically Unified Approach for Variant Calling and Haplotyping Based on Phase-Informative Reads
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    Chapter 10 Mapping-Free and Assembly-Free Discovery of Inversion Breakpoints from Raw NGS Reads
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    Chapter 11 Algorithms for Computational Biology
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    Chapter 12 On Sorting of Signed Permutations by Prefix and Suffix Reversals and Transpositions
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    Chapter 13 On the Diameter of Rearrangement Problems
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    Chapter 14 Efficiently Enumerating All Connected Induced Subgraphs of a Large Molecular Network
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    Chapter 15 On Algorithmic Complexity of Biomolecular Sequence Assembly Problem
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    Chapter 16 A Closed-Form Solution for Transcription Factor Activity Estimation Using Network Component Analysis
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    Chapter 17 SVEM: A Structural Variant Estimation Method Using Multi-mapped Reads on Breakpoints
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    Chapter 18 Analysis and Classification of Constrained DNA Elements with N-gram Graphs and Genomic Signatures
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    Chapter 19 Inference of Boolean Networks from Gene Interaction Graphs Using a SAT Solver
  21. Altmetric Badge
    Chapter 20 RRCA: Ultra-Fast Multiple In-species Genome Alignments
  22. Altmetric Badge
    Chapter 21 Exact Protein Structure Classification Using the Maximum Contact Map Overlap Metric
Attention for Chapter 15: On Algorithmic Complexity of Biomolecular Sequence Assembly Problem
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2 X users

Citations

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1 Dimensions

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5 Mendeley
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Chapter title
On Algorithmic Complexity of Biomolecular Sequence Assembly Problem
Chapter number 15
Book title
Algorithms for Computational Biology
Published in
Lecture notes in computer science, July 2014
DOI 10.1007/978-3-319-07953-0_15
Book ISBNs
978-3-31-907952-3, 978-3-31-907953-0
Authors

Giuseppe Narzisi, Bud Mishra, Michael C. Schatz

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 20%
Unknown 4 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 60%
Professor > Associate Professor 1 20%
Student > Ph. D. Student 1 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 60%
Computer Science 1 20%
Chemistry 1 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 27 March 2015.
All research outputs
#15,327,280
of 22,796,179 outputs
Outputs from Lecture notes in computer science
#4,646
of 8,127 outputs
Outputs of similar age
#133,111
of 227,633 outputs
Outputs of similar age from Lecture notes in computer science
#69
of 165 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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We're also able to compare this research output to 165 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.