Analysis of Compositional Bias in a Commercial Phage Display Peptide Library by Next-Generation Sequencing.

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Title: Analysis of Compositional Bias in a Commercial Phage Display Peptide Library by Next-Generation Sequencing.
Authors: Sloth AB; Department of Clinical Physiology and Nuclear Medicine & Cluster for Molecular Imaging, Copenhagen University Hospital-Rigshospitalet & Department of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark., Bakhshinejad B; Department of Clinical Physiology and Nuclear Medicine & Cluster for Molecular Imaging, Copenhagen University Hospital-Rigshospitalet & Department of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark., Jensen M; Department of Clinical Physiology and Nuclear Medicine & Cluster for Molecular Imaging, Copenhagen University Hospital-Rigshospitalet & Department of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark., Stavnsbjerg C; Department of Clinical Physiology and Nuclear Medicine & Cluster for Molecular Imaging, Copenhagen University Hospital-Rigshospitalet & Department of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark., Liisberg MB; Nano-Science Center, Department of Chemistry, University of Copenhagen, Universitetsparken 5, 2100 Copenhagen, Denmark., Rossing M; Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, 2100 Copenhagen, Denmark.; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark., Kjaer A; Department of Clinical Physiology and Nuclear Medicine & Cluster for Molecular Imaging, Copenhagen University Hospital-Rigshospitalet & Department of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.
Source: Viruses [Viruses] 2022 Oct 29; Vol. 14 (11). Date of Electronic Publication: 2022 Oct 29.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101509722 Publication Model: Electronic Cited Medium: Internet ISSN: 1999-4915 (Electronic) Linking ISSN: 19994915 NLM ISO Abbreviation: Viruses Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1999-4915
DOI:10.3390/v14112402