| Chapter title |
Databases and Associated Tools for Glycomics and Glycoproteomics.
|
|---|---|
| Chapter number | 18 |
| Book title |
High-Throughput Glycomics and Glycoproteomics
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6493-2_18 |
| Pubmed ID | |
| URN |
urn:nbn:se:su:diva-184079
|
| Book ISBNs |
978-1-4939-6491-8, 978-1-4939-6493-2
|
| Authors |
Frederique Lisacek, Julien Mariethoz, Davide Alocci, Pauline M. Rudd, Jodie L. Abrahams, Matthew P. Campbell, Nicolle H. Packer, Jonas Ståhle, Göran Widmalm, Elaine Mullen, Barbara Adamczyk, Miguel A. Rojas-Macias, Chunsheng Jin, Niclas G. Karlsson Ph.D., Lisacek, Frederique, Mariethoz, Julien, Alocci, Davide, Rudd, Pauline M, Abrahams, Jodie L, Campbell, Matthew P, Packer, Nicolle H, Ståhle, Jonas, Widmalm, Göran, Mullen, Elaine, Adamczyk, Barbara, Rojas-Macias, Miguel A, Jin, Chunsheng, Karlsson, Niclas G, Niclas G. Karlsson, Rudd, Pauline M., Abrahams, Jodie L., Campbell, Matthew P., Packer, Nicolle H., Rojas-Macias, Miguel A., Karlsson, Niclas G. |
| Editors |
Gordan Lauc, Manfred Wuhrer |
| Abstract |
The access to biodatabases for glycomics and glycoproteomics has proven to be essential for current glycobiological research. This chapter presents available databases that are devoted to different aspects of glycobioinformatics. This includes oligosaccharide sequence databases, experimental databases, 3D structure databases (of both glycans and glycorelated proteins) and association of glycans with tissue, disease, and proteins. Specific search protocols are also provided using tools associated with experimental databases for converting primary glycoanalytical data to glycan structural information. In particular, researchers using glycoanalysis methods by U/HPLC (GlycoBase), MS (GlycoWorkbench, UniCarb-DB, GlycoDigest), and NMR (CASPER) will benefit from this chapter. In addition we also include information on how to utilize glycan structural information to query databases that associate glycans with proteins (UniCarbKB) and with interactions with pathogens (SugarBind). |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 25% |
| Sweden | 2 | 25% |
| Switzerland | 1 | 13% |
| Ghana | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Scientists | 1 | 13% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 16% |
| Student > Doctoral Student | 4 | 13% |
| Researcher | 4 | 13% |
| Student > Master | 3 | 10% |
| Student > Bachelor | 2 | 6% |
| Other | 6 | 19% |
| Unknown | 7 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 23% |
| Biochemistry, Genetics and Molecular Biology | 6 | 19% |
| Chemistry | 5 | 16% |
| Veterinary Science and Veterinary Medicine | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 7 | 23% |