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Research in Computational Molecular Biology

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Cover of 'Research in Computational Molecular Biology'

Table of Contents

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    Book Overview
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    Chapter 1 Reconciliation Revisited: Handling Multiple Optima When Reconciling with Duplication, Transfer, and Loss
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    Chapter 2 SEME: A Fast Mapper of Illumina Sequencing Reads with Statistical Evaluation
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    Chapter 3 Dissecting Cancer Heterogeneity with a Probabilistic Genotype-Phenotype Model
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    Chapter 4 eALPS: Estimating Abundance Levels in Pooled Sequencing Using Available Genotyping Data
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    Chapter 5 Analysis of Metabolic Evolution in Bacteria Using Whole-Genome Metabolic Models
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    Chapter 6 Detecting Protein Conformational Changes in Interactions via Scaling Known Structures
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    Chapter 7 IPED: Inheritance Path Based Pedigree Reconstruction Algorithm Using Genotype Data
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    Chapter 8 An Optimal Algorithm for Building the Majority Rule Consensus Tree
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    Chapter 9 UniNovo : A Universal Tool for de Novo Peptide Sequencing
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    Chapter 10 Efficiently Identifying Significant Associations in Genome-Wide Association Studies
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    Chapter 11 Identification of Ultramodified Proteins Using Top-Down Spectra
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    Chapter 12 Research in Computational Molecular Biology
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    Chapter 13 Assembling Genomes and Mini-metagenomes from Highly Chimeric Reads
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    Chapter 14 Inferring Intra-tumor Heterogeneity from High-Throughput DNA Sequencing Data
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    Chapter 15 NP-MuScL: Unsupervised Global Prediction of Interaction Networks from Multiple Data Sources
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    Chapter 16 High Resolution Modeling of Chromatin Interactions
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    Chapter 17 A Linear Inside-Outside Algorithm for Correcting Sequencing Errors in Structured RNAs
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    Chapter 18 An Accurate Method for Inferring Relatedness in Large Datasets of Unphased Genotypes via an Embedded Likelihood-Ratio Test
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    Chapter 19 Learning Natural Selection from the Site Frequency Spectrum
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    Chapter 20 Considering Unknown Unknowns - Reconstruction of Non-confoundable Causal Relations in Biological Networks
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    Chapter 21 Inference of Tumor Phylogenies with Improved Somatic Mutation Discovery
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    Chapter 22 Abstract: Using the Fast Fourier Transform to Accelerate the Computational Search for RNA Conformational Switches
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    Chapter 23 MethylCRF, an Algorithm for Estimating Absolute Methylation Levels at Single CpG Resolution from Methylation Enrichment and Restriction Enzyme Sequencing Methods
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    Chapter 24 Counting Motifs in the Entire Biological Network from Noisy and Incomplete Data
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    Chapter 25 Research in Computational Molecular Biology
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    Chapter 26 Genome-Wide Survival Analysis of Somatic Mutations in Cancer
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    Chapter 27 Spectral Library Generating Function for Assessing Spectrum-Spectrum Match Significance
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    Chapter 28 SPARSE: Quadratic Time Simultaneous Alignment and Folding of RNAs without Sequence-Based Heuristics
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    Chapter 29 An Algorithm for Constructing Parsimonious Hybridization Networks with Multiple Phylogenetic Trees
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    Chapter 30 Fast and Accurate Calculation of Protein Depth by Euclidean Distance Transform
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    Chapter 31 Inference of Spatial Organizations of Chromosomes Using Semi-definite Embedding Approach and Hi-C Data
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    Chapter 32 Boosting Prediction Performance of Protein-Protein Interaction Hot Spots by Using Structural Neighborhood Properties
Attention for Chapter 13: Assembling Genomes and Mini-metagenomes from Highly Chimeric Reads
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Chapter title
Assembling Genomes and Mini-metagenomes from Highly Chimeric Reads
Chapter number 13
Book title
Research in Computational Molecular Biology
Published in
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-37195-0_13
Book ISBNs
978-3-64-237194-3, 978-3-64-237195-0

Sergey Nurk, Anton Bankevich, Dmitry Antipov, Alexey Gurevich, Anton Korobeynikov, Alla Lapidus, Andrey Prjibelsky, Alexey Pyshkin, Alexander Sirotkin, Yakov Sirotkin, Ramunas Stepanauskas, Jeffrey McLean, Roger Lasken, Scott R. Clingenpeel, Tanja Woyke, Glenn Tesler, Max A. Alekseyev, Pavel A. Pevzner

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 410 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 <1%
Spain 3 <1%
South Africa 2 <1%
Germany 2 <1%
Netherlands 2 <1%
New Zealand 1 <1%
United Kingdom 1 <1%
Brazil 1 <1%
Unknown 394 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 106 26%
Researcher 71 17%
Student > Bachelor 64 16%
Student > Master 57 14%
Other 17 4%
Other 45 11%
Unknown 50 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 141 34%
Biochemistry, Genetics and Molecular Biology 107 26%
Environmental Science 22 5%
Immunology and Microbiology 22 5%
Computer Science 12 3%
Other 50 12%
Unknown 56 14%