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Computational methods
Computational Methods include useful new routines and algorithms with applications to Bioinformatics such as new sequence manipulation and analysis methods. Also included are new methods of computational analysis of biological data that facilitate data interpretation.
Citations 71-80 of 359 total displayed.
- Computational Biology
Computational design of orthogonal ribosomes
- Lon M. Chubiz and Christopher V. Rao
Nucleic Acids Res. 2008; 36: 4038-4046.
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- Computational Biology
A model of base-call resolution on broad-spectrum pathogen detection resequencing DNA microarrays
- Anthony P. Malanoski, Baochuan Lin, and David A. Stenger
Nucleic Acids Res. 2008; 36: 3194-3201.
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- Computational Biology
Prediction of phosphotyrosine signaling networks using a scoring matrix-assisted ligand identification approach
- Lei Li, Chenggang Wu, Haiming Huang, Kaizhong Zhang, Jacob Gan, and Shawn S.-C. Li
Nucleic Acids Res. 2008; 36: 3263-3273.
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- Computational Biology
3D visualization software to analyze topological outcomes of topoisomerase reactions
- I. K. Darcy, R. G. Scharein, and A. Stasiak
Nucleic Acids Res. 2008; 36: 3515-3521.
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- Computational Biology
SCUMBLE: a method for systematic and accurate detection of codon usage bias by maximum likelihood estimation
- Morten Kloster and Chao Tang
Nucleic Acids Res. 2008; 36: 3819-3827.
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- Methods Online
Detecting cis-regulatory binding sites for cooperatively binding proteins
- Liesbeth van Oeffelen, Pierre Cornelis, Wouter Van Delm, Fedor De Ridder, Bart De Moor, and Yves Moreau
Nucleic Acids Res. 2008; 36: e46.
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- Methods Online
Uncovering signal transduction networks from high-throughput data by integer linear programming
- Xing-Ming Zhao, Rui-Sheng Wang, Luonan Chen, and Kazuyuki Aihara
Nucleic Acids Res. 2008; 36: e48.
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- Genomics
A systematic characterization of factors that regulate Drosophila segmentation via a bacterial one-hybrid system
- Marcus B. Noyes, Xiangdong Meng, Atsuya Wakabayashi, Saurabh Sinha, Michael H. Brodsky, and Scot A. Wolfe
Nucleic Acids Res. 2008; 36: 2547-2560.
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- Computational Biology
Using support vector machine combined with auto covariance to predict protein–protein interactions from protein sequences
- Yanzhi Guo, Lezheng Yu, Zhining Wen, and Menglong Li
Nucleic Acids Res. 2008; 36: 3025-3030.
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- Methods Online
Transcriptome annotation using tandem SAGE tags
- Eric Rivals, Anthony Boureux, Mireille Lejeune, Florence Ottones, Oscar Pecharromàn Pérez, Jorma Tarhio, Fabien Pierrat, Florence Ruffle, Thérèse Commes, and Jacques Marti
Nucleic Acids Res. 2007; 35: e108.
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