| Chapter title |
UniProtKB/Swiss-Prot, the Manually Annotated Section of the UniProt KnowledgeBase: How to Use the Entry View.
|
|---|---|
| Chapter number | 2 |
| Book title |
Plant Bioinformatics
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3167-5_2 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3166-8, 978-1-4939-3167-5
|
| Authors |
Boutet, Emmanuel, Lieberherr, Damien, Tognolli, Michael, Schneider, Michel, Bansal, Parit, Bridge, Alan J, Poux, Sylvain, Bougueleret, Lydie, Xenarios, Ioannis, Emmanuel Boutet Ph.D., Damien Lieberherr Ph.D., Michael Tognolli Ph.D., Michel Schneider Ph.D., Parit Bansal, Alan J. Bridge Ph.D., Sylvain Poux Ph.D., Lydie Bougueleret Ph.D., Ioannis Xenarios, Emmanuel Boutet, Damien Lieberherr, Michael Tognolli, Michel Schneider, Alan J. Bridge, Sylvain Poux, Lydie Bougueleret |
| Editors |
David Edwards |
| Abstract |
The Universal Protein Resource (UniProt, http://www.uniprot.org ) consortium is an initiative of the SIB Swiss Institute of Bioinformatics (SIB), the European Bioinformatics Institute (EBI) and the Protein Information Resource (PIR) to provide the scientific community with a central resource for protein sequences and functional information. The UniProt consortium maintains the UniProt KnowledgeBase (UniProtKB), updated every 4 weeks, and several supplementary databases including the UniProt Reference Clusters (UniRef) and the UniProt Archive (UniParc).The Swiss-Prot section of the UniProt KnowledgeBase (UniProtKB/Swiss-Prot) contains publicly available expertly manually annotated protein sequences obtained from a broad spectrum of organisms. Plant protein entries are produced in the frame of the Plant Proteome Annotation Program (PPAP), with an emphasis on characterized proteins of Arabidopsis thaliana and Oryza sativa. High level annotations provided by UniProtKB/Swiss-Prot are widely used to predict annotation of newly available proteins through automatic pipelines.The purpose of this chapter is to present a guided tour of a UniProtKB/Swiss-Prot entry. We will also present some of the tools and databases that are linked to each entry. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| Netherlands | 1 | <1% |
| Norway | 1 | <1% |
| Portugal | 1 | <1% |
| India | 1 | <1% |
| Mexico | 1 | <1% |
| Spain | 1 | <1% |
| Japan | 1 | <1% |
| Unknown | 278 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 17% |
| Student > Master | 43 | 15% |
| Researcher | 42 | 15% |
| Student > Bachelor | 29 | 10% |
| Student > Doctoral Student | 17 | 6% |
| Other | 49 | 17% |
| Unknown | 59 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 75 | 26% |
| Biochemistry, Genetics and Molecular Biology | 73 | 25% |
| Computer Science | 23 | 8% |
| Medicine and Dentistry | 8 | 3% |
| Immunology and Microbiology | 6 | 2% |
| Other | 21 | 7% |
| Unknown | 81 | 28% |