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Bioinformatics Research and Development

Overview of attention for book
Cover of 'Bioinformatics Research and Development'

Table of Contents

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    Book Overview
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    Chapter 1 A Tree Index to Support Clustering Based Exploratory Data Analysis
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    Chapter 2 XMAS: An Experiential Approach for Visualization, Analysis, and Exploration of Time Series Microarray Data
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    Chapter 3 Clustering in a Fixed Manifold to Detect Groups of Genes with Similar Expression Patterns
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    Chapter 4 Families of FPGA-Based Accelerators for BLAST Algorithm with Multi-seeds Detection and Parallel Extension
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    Chapter 5 Fast Structured Motif Search in DNA Sequences
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    Chapter 6 A Discriminative Method for Protein Remote Homology Detection Based on N-nary Profiles
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    Chapter 7 Searching for Supermaximal Repeats in Large DNA Sequences
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    Chapter 8 Motif Location Prediction by Divide and Conquer
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    Chapter 9 Translational Control by RNA-RNA Interaction: Improved Computation of RNA-RNA Binding Thermodynamics
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    Chapter 10 A Symmetry-Free Subspace for Ab initio Protein Folding Simulations
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    Chapter 11 Comparative Analysis of Disulfide Bond Determination Using Computational-Predictive Methods and Mass Spectrometry-Based Algorithmic Approach
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    Chapter 12 Exploration of Evolutionary Relations between Protein Structures
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    Chapter 13 Two Local Search Methods for Protein Folding Simulation in the HP and the MJ Lattice Models
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    Chapter 14 A Robust Class of Stable Proteins in the 2D HPC Model
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    Chapter 15 A Novel Adaptive Multiple Imputation Algorithm
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    Chapter 16 Bioinformatics Research and Development
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    Chapter 17 Gene Expression Mining for Cohesive Pattern Discovery
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    Chapter 18 Identifying Subcellular Locations from Images of Unknown Resolution
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    Chapter 19 E-BioFlow: Different Perspectives on Scientific Workflows
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    Chapter 20 Knowledge Acquisition Focused Cooperative Development of Bio-ontologies – A Case Study with BIO2Me
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    Chapter 21 Nested q-Partial Graphs for Genetic Network Inference from ”Small n, Large p” Microarray Data
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    Chapter 22 A Computational Method for Reconstructing Gapless Metabolic Networks
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    Chapter 23 Finding Frequent Subgraphs in Biological Networks Via Maximal Item Sets
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    Chapter 24 Multi-functional Protein Clustering in PPI Networks
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    Chapter 25 Protein-Protein Interaction Network Querying by a “Focus and Zoom” Approach
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    Chapter 26 Matching Spatial Regions with Combinations of Interacting Gene Expression Patterns
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    Chapter 27 Bioinformatics Research and Development
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    Chapter 28 Combining Protein-Protein Interaction (PPI) Network and Sequence Attributes for Predicting Hypertension Related Proteins
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    Chapter 29 Genome Structure and Characterisation of an Endogenous Retrovirus from the Zebrafish Genome Project Database
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    Chapter 30 Bayesian Phylogeny on Grid
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    Chapter 31 Comparison of Exact String Matching Algorithms for Biological Sequences
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    Chapter 32 A New Approximation Algorithm for the Minimum Fragment Removal Problem
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    Chapter 33 Indexing Factors in DNA/RNA Sequences
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    Chapter 34 Implementation of a Swap Matching Algorithm Using a Graph Theoretic Model
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    Chapter 35 Suffix Tree Characterization of Maximal Motifs in Biological Sequences
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    Chapter 36 Efficient Seeding Techniques for Protein Similarity Search
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    Chapter 37 An Algorithm for Multiple and Global Alignments
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    Chapter 38 LASA: A Tool for Non-heuristic Alignment of Multiple Sequences
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    Chapter 39 SVM-Based Local Search for Gene Selection and Classification of Microarray Data
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    Chapter 40 GENFOCS – A Comparative Tool on Gene Finding with Sensitivity and Specificity
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    Chapter 41 Gene Machine© – A Hardware/Software Platform for Analyzing Genome Data
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    Chapter 42 Complex Representation of DNA Sequences
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    Chapter 43 Wavelet Analysis of Impulses in Axon Physiology
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    Chapter 44 Acquisition and Algorithms for Fluorescence Applications
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    Chapter 45 Control of the Lasers Dynamics by Pumping Modulation for Biophotonics Applications
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    Chapter 46 Quantum Well Lasers for Medical Industry
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    Chapter 47 Computational Model for the Study of the Fractal Parameters Characteristic for the Surface of Titanium Dental Implants
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    Chapter 48 VEMS-TM – A Management Infrastructure
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    Chapter 49 PTF Model for Evaluating the Relationships between the VAC and Antimicrobial Resistance in Human Communities
Overall attention for this book and its chapters
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Mentioned by

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3 X users

Citations

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Readers on

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47 Mendeley
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Title
Bioinformatics Research and Development
Published by
arXiv, January 2008
DOI 10.1007/978-3-540-70600-7
ISBNs
978-3-54-070598-7, 978-3-54-070600-7
Editors

Mourad Elloumi, Josef Küng, Michal Linial, Robert F. Murphy, Kristan Schneider, Cristian Toma

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Hungary 1 2%
Italy 1 2%
Germany 1 2%
Argentina 1 2%
Australia 1 2%
Unknown 40 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 28%
Researcher 10 21%
Student > Bachelor 5 11%
Student > Master 5 11%
Student > Postgraduate 3 6%
Other 8 17%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 30%
Computer Science 13 28%
Biochemistry, Genetics and Molecular Biology 5 11%
Environmental Science 2 4%
Engineering 2 4%
Other 7 15%
Unknown 4 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 October 2017.
All research outputs
#14,828,915
of 23,005,189 outputs
Outputs from arXiv
#321,468
of 944,008 outputs
Outputs of similar age
#131,220
of 157,000 outputs
Outputs of similar age from arXiv
#342
of 476 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 944,008 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 65% 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 157,000 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 476 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.