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Multiple Sequence Alignment Methods

Overview of attention for book
Cover of 'Multiple Sequence Alignment Methods'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Dynamic Programming
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    Chapter 2 Heuristic Alignment Methods
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    Chapter 3 Objective Functions
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    Chapter 4 Who watches the watchmen? An appraisal of benchmarks for multiple sequence alignment.
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    Chapter 5 BLAST and FASTA Similarity Searching for Multiple Sequence Alignment
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    Chapter 6 Multiple Sequence Alignment Methods
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    Chapter 7 T-coffee: tree-based consistency objective function for alignment evaluation.
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    Chapter 8 MAFFT: Iterative Refinement and Additional Methods
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    Chapter 9 Multiple Sequence Alignment Methods
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    Chapter 10 Phylogeny-aware alignment with PRANK.
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    Chapter 11 GramAlign: Fast alignment driven by grammar-based phylogeny
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    Chapter 12 Multiple Sequence Alignment with DIALIGN
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    Chapter 13 PicXAA: A Probabilistic Scheme for Finding the Maximum Expected Accuracy Alignment of Multiple Biological Sequences
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    Chapter 14 Multiple Protein Sequence Alignment with MSAProbs
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    Chapter 15 Large-Scale Multiple Sequence Alignment and Tree Estimation Using SATé
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    Chapter 16 PRALINE: A Versatile Multiple Sequence Alignment Toolkit
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    Chapter 17 PROMALS3D: Multiple Protein Sequence Alignment Enhanced with Evolutionary and Three-Dimensional Structural Information
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    Chapter 18 MSACompro: Improving Multiple Protein Sequence Alignment by Predicted Structural Features
Attention for Chapter 7: T-coffee: tree-based consistency objective function for alignment evaluation.
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Chapter title
T-coffee: tree-based consistency objective function for alignment evaluation.
Chapter number 7
Book title
Multiple Sequence Alignment Methods
Published in
Methods in molecular biology, August 2013
DOI 10.1007/978-1-62703-646-7_7
Pubmed ID
Book ISBNs
978-1-62703-645-0, 978-1-62703-646-7
Authors

Cedrik Magis, Jean-François Taly, Giovanni Bussotti, Jia-Ming Chang, Paolo Di Tommaso, Ionas Erb, José Espinosa-Carrasco, Cedric Notredame, Magis, Cedrik, Taly, Jean-François, Bussotti, Giovanni, Chang, Jia-Ming, Di Tommaso, Paolo, Erb, Ionas, Espinosa-Carrasco, José, Notredame, Cedric

Editors

David J Russell

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
United States 1 2%
France 1 2%
Argentina 1 2%
Unknown 44 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 19%
Student > Ph. D. Student 8 17%
Student > Bachelor 7 15%
Professor 4 8%
Student > Master 4 8%
Other 5 10%
Unknown 11 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 31%
Biochemistry, Genetics and Molecular Biology 12 25%
Computer Science 4 8%
Engineering 2 4%
Chemistry 2 4%
Other 2 4%
Unknown 11 23%
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 09 March 2016.
All research outputs
#18,445,779
of 22,854,458 outputs
Outputs from Methods in molecular biology
#7,923
of 13,128 outputs
Outputs of similar age
#148,877
of 199,275 outputs
Outputs of similar age from Methods in molecular biology
#31
of 58 outputs
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We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.