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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 Long Reads Enable Accurate Estimates of Complexity of Metagenomes
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    Chapter 2 Chromatyping: Reconstructing Nucleosome Profiles from NOMe Sequencing Data
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    Chapter 3 GTED: Graph Traversal Edit Distance
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    Chapter 4 Statistical Inference of Peroxisome Dynamics
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    Chapter 5 Loss-Function Learning for Digital Tissue Deconvolution
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    Chapter 6 Inference of Population Structure from Ancient DNA
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    Chapter 7 Using Minimum Path Cover to Boost Dynamic Programming on DAGs: Co-linear Chaining Extended
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    Chapter 8 Modeling Dependence in Evolutionary Inference for Proteins
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    Chapter 9 Constrained De Novo Sequencing of neo-Epitope Peptides Using Tandem Mass Spectrometry
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    Chapter 10 Reverse de Bruijn: Utilizing Reverse Peptide Synthesis to Cover All Amino Acid k -mers
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    Chapter 11 Circular Networks from Distorted Metrics
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    Chapter 12 A Nested 2-Level Cross-Validation Ensemble Learning Pipeline Suggests a Negative Pressure Against Crosstalk snoRNA-mRNA Interactions in Saccharomyces Cerevisae
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    Chapter 13 Context-Specific Nested Effects Models
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    Chapter 14 Algorithmic Framework for Approximate Matching Under Bounded Edits with Applications to Sequence Analysis
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    Chapter 15 Accurate Reconstruction of Microbial Strains from Metagenomic Sequencing Using Representative Reference Genomes
Attention for Chapter 15: Accurate Reconstruction of Microbial Strains from Metagenomic Sequencing Using Representative Reference Genomes
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Chapter title
Accurate Reconstruction of Microbial Strains from Metagenomic Sequencing Using Representative Reference Genomes
Chapter number 15
Book title
Research in Computational Molecular Biology
Published by
Springer, Cham, April 2018
DOI 10.1007/978-3-319-89929-9_15
Book ISBNs
978-3-31-989928-2, 978-3-31-989929-9
Authors

Zhemin Zhou, Nina Luhmann, Nabil-Fareed Alikhan, Christopher Quince, Mark Achtman

Twitter Demographics

The data shown below were collected from the profiles of 3 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 22%
Student > Ph. D. Student 11 20%
Student > Master 6 11%
Student > Postgraduate 4 7%
Other 3 5%
Other 6 11%
Unknown 13 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 24%
Agricultural and Biological Sciences 13 24%
Computer Science 7 13%
Immunology and Microbiology 3 5%
Chemistry 1 2%
Other 1 2%
Unknown 17 31%