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Data mining for unidentified protein squences
- Through the use of next generation sequencing (NGS) technology, a lot of newly sequenced organisms are now available. Annotating those genes is one of the most challenging tasks in sequence biology. Here, we present an automated workflow to find homologue proteins, annotate sequences according to function and create a three-dimensional model.
| Author details: | Leif Blaese |
|---|---|
| ISBN: | 978-3-662-45005-5 |
| ISSN: | 1865-0929 |
| Title of parent work (English): | Process design for natural scientists: an agile model-driven approach |
| Publisher: | Springer |
| Place of publishing: | Berlin |
| Publication type: | Article |
| Language: | English |
| Year of first publication: | 2014 |
| Publication year: | 2014 |
| Publishing institution: | Universität Potsdam |
| Release date: | 2015/06/26 |
| Issue: | 500 |
| First page: | 73 |
| Last Page: | 87 |
| Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Informatik und Computational Science |
| DDC classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
