Erasmus et al., 2023 - Google Patents
Insights into next generation sequencing guided antibody selection strategiesErasmus et al., 2023
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- 17434614767347265275
- Author
- Erasmus M
- Ferrara F
- D’Angelo S
- Spector L
- Leal-Lopes C
- Teixeira A
- Sørensen J
- Nagpal S
- Perea-Schmittle K
- Choudhary A
- Honnen W
- Calianese D
- Antonio Rodriguez Carnero L
- Cocklin S
- Greiff V
- Pinter A
- Bradbury A
- Publication year
- Publication venue
- Scientific reports
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Snippet
Therapeutic antibody discovery often relies on in-vitro display methods to identify lead candidates. Assessing selected output diversity traditionally involves random colony picking and Sanger sequencing, which has limitations. Next-generation sequencing (NGS) offers a …
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- G06F19/28—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for programming tools or database systems, e.g. ontologies, heterogeneous data integration, data warehousing or computing architectures
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- G06F19/22—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for sequence comparison involving nucleotides or amino acids, e.g. homology search, motif or SNP [Single-Nucleotide Polymorphism] discovery or sequence alignment
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