The Application of the Weighted k-Partite Graph Problem to the Multiple Alignment for Metabolic Pathways-Reference-Cited by-同舟云学术

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The Application of the Weighted k-Partite Graph Problem to the Multiple Alignment for Metabolic Pathways

Published:2017-12 Issue:12 Volume:24 Page:1195-1211
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Chen Wenbin¹²,Hendrix William³,Samatova Nagiza F.⁴⁵

Affiliation:

1. Department of Computer Science, Guangzhou University, Guangzhou, China.

2. Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China.

3. Department of Computer Science and Engineering, University of South Florida, Tampa, Florida.

4. Department of Computer Science, North Carolina State University, Raleigh, North Carolina.

5. Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modelling and Simulation

Link

http://www.liebertpub.com/doi/pdf/10.1089/cmb.2017.0064

Reference27 articles.

1. CONSISTENT ALIGNMENT OF METABOLIC PATHWAYS WITHOUT ABSTRACTION

2. Reconstruction of Amino Acid Biosynthesis Pathways from the Complete Genome Sequence

3. Metabolism of pyruvate and glucose by intact cells of Helicobacter pylori studied by 13C NMR spectroscopy

4. The Multiple Alignment Algorithm for Metabolic Pathways without Abstraction

5. Pathway alignment: application to the comparative analysis of glycolytic enzymes

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