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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).&nbsp;</p> <p>Raw files were obtained from publicly available dataset generated by Nannini and colleagues in&nbsp;"Combining phage display with SMRTbell next-generation sequencing for the rapid discovery of functional scFv fragments." <em>MAbs</em>. Vol. 13. No. 1. Taylor &amp; 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.&nbsp;</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