bamboo.MSA.astral30: MSA Information for the bamboo.validation.astral30 Test...
In bamboo: Protein Secondary Structure Prediction Using the Bamboo Method
Description
Usage
Format
Source
References
Description
This data provides the multiple sequence alignment (MSA) information for the bamboo.validation.astral30 test dataset in the paper cited below.
This MSA information list gives the count matrices for the 3,143 proteins in the bamboo.validation.astral30 test dataset that have MSA information. Each row in the matrix is the count vector for the number of times that each of the four secondary structure types is found in that position of the alignment output.
Usage
1
Format
A list containing 3,143 matrices.
Source
Q. Li, D. B. Dahl, M. Vannucci, H. Joo, J. W. Tsai (2014), Bayesian Model of Protein Primary Sequence for Secondary Structure Prediction, PLOS ONE, 9(10), e109832. <DOI:10.1371/journal.pone.0109832>
References
Q. Li, D. B. Dahl, M. Vannucci, H. Joo, J. W. Tsai (2014), Bayesian Model of Protein Primary Sequence for Secondary Structure Prediction, PLOS ONE, 9(10), e109832. <DOI:10.1371/journal.pone.0109832>
bamboo documentation built on April 14, 2020, 6:53 p.m.
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Description Usage Format Source References
Description
This data provides the multiple sequence alignment (MSA) information for the bamboo.validation.astral30 test dataset in the paper cited below.
This MSA information list gives the count matrices for the 3,143 proteins in the bamboo.validation.astral30 test dataset that have MSA information. Each row in the matrix is the count vector for the number of times that each of the four secondary structure types is found in that position of the alignment output.
Usage
1 |
Format
A list containing 3,143 matrices.
Source
Q. Li, D. B. Dahl, M. Vannucci, H. Joo, J. W. Tsai (2014), Bayesian Model of Protein Primary Sequence for Secondary Structure Prediction, PLOS ONE, 9(10), e109832. <DOI:10.1371/journal.pone.0109832>
References
Q. Li, D. B. Dahl, M. Vannucci, H. Joo, J. W. Tsai (2014), Bayesian Model of Protein Primary Sequence for Secondary Structure Prediction, PLOS ONE, 9(10), e109832. <DOI:10.1371/journal.pone.0109832>
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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