Seq2scFv: a toolkit for the comprehensive analysis of display libraries from long-read sequencing platforms
<p>Annotation of full-length scFvs sequenced with PacBio using Seq2scFv (https://github.com/ngs-ai-org/seq2scfv). </p> <p>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." <em>MAbs</em>. Vol. 13. No. 1. Taylor & Francis, 2021.</p> <p>The results of the annotation are organized in directories. These correspond to the different steps of the tutorial presented in the Seq2scFv repository. </p> <p>├── 1.Preprocessed<br>├── 2.Catalogued<br>├── 3.vscan<br>├── 4.scFv_split<br>├── 5.Linkers<br>├── 6.Flags<br>├── 7.Counts<br>└── focus_libs.txt</p> <p>This entry also contains the code provided in the GitHub repository.</p>
ShareScore
28/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 12
- Reuse readiness
- 8
- Engagement
- 0