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Mendeley readers
Chapter title |
Phylogenetic Analysis of Protein Family
|
---|---|
Chapter number | 21 |
Book title |
Fungal Genomics
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7804-5_21 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7803-8, 978-1-4939-7804-5
|
Authors |
Letian Song, Sherry Wu, Adrian Tsang, Song, Letian, Wu, Sherry, Tsang, Adrian |
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. |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 37 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 22% |
Student > Master | 4 | 11% |
Student > Bachelor | 4 | 11% |
Other | 2 | 5% |
Researcher | 2 | 5% |
Other | 3 | 8% |
Unknown | 14 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 10 | 27% |
Agricultural and Biological Sciences | 5 | 14% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
Computer Science | 2 | 5% |
Immunology and Microbiology | 1 | 3% |
Other | 1 | 3% |
Unknown | 16 | 43% |