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Author(s): Song L, Ouedraogo JP, Kolbusz M, Nguyen TTM, Tsang A
PLoS One. 2018;13(8):e0202868 Authors: Song L, Ouedraogo JP, Kolbusz M, Nguyen TTM, Tsang A
Article GUID: 30142205
Author(s): Song L, Wu S, Tsang A
Phylogenetic Analysis of Protein Family.
Methods Mol Biol. 2018;1775:267-275
Authors: Song L, Wu S, Tsang A
Abstract
With the number of sequenced genomes increasing rapidly, it is impractical to perform functional and stru...
Article GUID: 29876824
| Title: | Phylogenetic Analysis of Protein Family. |
| Authors: | Song L, Wu S, Tsang A |
| Link: | www.ncbi.nlm.nih.gov/pubmed/29876824?dopt=Abstract |
| Category: | Methods Mol Biol |
| PMID: | 29876824 |
| Dept Affiliation: | GENOMICS
1 Centre for Structural and Functional Genomics, Concordia University, 7141 Sherbrooke Street West, Montreal, H4B 1R6, Quebec, Canada. letian.song@concordia.ca. 2 Centre for Structural and Functional Genomics, Concordia University, 7141 Sherbrooke Street West, Montreal, H4B 1R6, Quebec, Canada. 3 Centre for Structural and Functional Genomics, Concordia University, Montreal, QC, Canada. |
Description: |
Phylogenetic Analysis of Protein Family. Methods Mol Biol. 2018;1775:267-275 Authors: Song L, Wu S, Tsang A Abstract With the number of sequenced genomes increasing rapidly, it is impractical to perform functional and structural analyses on all individual proteins. Phylogenetic analysis employs a combination of molecular and statistical approaches to infer or estimate relationships among individuals. It provides a credible method to explore the relationship between sequence similarity and function of proteins belonging to the same family. This chapter describes a standardized framework of phylogenetic analysis to study large protein families. Bioinformatic approaches and online tools used in phylogenetic analyses are presented. PMID: 29876824 [PubMed - indexed for MEDLINE] |
