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Mendeley readers
Chapter title |
Data-Driven Antibody Engineering Using Genedata Biologics™
|
---|---|
Chapter number | 15 |
Book title |
Synthetic Antibodies
|
Published in |
Methods in molecular biology, March 2017
|
DOI | 10.1007/978-1-4939-6857-2_15 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6855-8, 978-1-4939-6857-2
|
Authors |
Maria Wendt, Guido Cappuccilli |
Editors |
Thomas Tiller |
Abstract |
Genedata Biologics is a novel informatics platform specifically designed for biologics R&D. Here, we discuss the main principles employed in designing such a platform, focusing on antibody engineering. To illustrate, we present a case study of how the platform effectively supports an antibody optimization workflow and ensures the successful integration and analysis of all relevant sequence, expression, assay, and analytics data. |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 3 | 33% |
Researcher | 3 | 33% |
Professor > Associate Professor | 2 | 22% |
Unspecified | 1 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 3 | 33% |
Biochemistry, Genetics and Molecular Biology | 2 | 22% |
Unspecified | 1 | 11% |
Computer Science | 1 | 11% |
Immunology and Microbiology | 1 | 11% |
Other | 0 | 0% |
Unknown | 1 | 11% |