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Mendeley readers
| Chapter title |
An Overview of Bioinformatics Tools and Resources in Allergy
|
|---|---|
| Chapter number | 18 |
| Book title |
Food Allergens
|
| Published in |
Methods in molecular biology, March 2017
|
| DOI | 10.1007/978-1-4939-6925-8_18 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6923-4, 978-1-4939-6925-8
|
| Authors |
Zhiyan Fu, Jing Lin |
| Editors |
Jing Lin, Marcos Alcocer |
| Abstract |
The rapidly increasing number of characterized allergens has created huge demands for advanced information storage, retrieval, and analysis. Bioinformatics and machine learning approaches provide useful tools for the study of allergens and epitopes prediction, which greatly complement traditional laboratory techniques. The specific applications mainly include identification of B- and T-cell epitopes, and assessment of allergenicity and cross-reactivity. In order to facilitate the work of clinical and basic researchers who are not familiar with bioinformatics, we review in this chapter the most important databases, bioinformatic tools, and methods with relevance to the study of allergens. |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 15% |
| Other | 1 | 5% |
| Lecturer | 1 | 5% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 10 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 15% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Agricultural and Biological Sciences | 1 | 5% |
| Immunology and Microbiology | 1 | 5% |
| Unknown | 13 | 65% |