
Annotation of full-length scFvs sequenced with PacBio using Seq2scFv (https://github.com/ngs-ai-org/seq2scfv). Raw files were obtained from publicly available dataset generated by Nannini and colleagues in "Combining phage display with SMRTbell next-generation sequencing for the rapid discovery of functional scFv fragments." MAbs. Vol. 13. No. 1. Taylor & Francis, 2021. The results of the annotation are organized in directories. These correspond to the different steps of the tutorial presented in the Seq2scFv repository. ├── 1.Preprocessed├── 2.Catalogued├── 3.vscan├── 4.scFv_split├── 5.Linkers├── 6.Flags├── 7.Counts└── focus_libs.txt This entry also contains the code provided in the GitHub repository.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
