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ExpoSeq: simplified analysis of high-throughput sequencing data from antibody discovery campaigns.
Sørensen, Christoffer V; Hofmann, Nils; Rawat, Puneet; Sørensen, Frederik V; Ljungars, Anne; Greiff, Victor; Laustsen, Andreas H; Jenkins, Timothy P.
Afiliación
  • Sørensen CV; Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark.
  • Hofmann N; Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark.
  • Rawat P; Department of Immunology, University of Oslo and Oslo University Hospital, NO-0316 Oslo, Norway.
  • Sørensen FV; Bornerups A/S, DK-7700 Thisted, Denmark.
  • Ljungars A; Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark.
  • Greiff V; Department of Immunology, University of Oslo and Oslo University Hospital, NO-0316 Oslo, Norway.
  • Laustsen AH; Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark.
  • Jenkins TP; Department of Biotechnology and Biomedicine, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark.
Bioinform Adv ; 4(1): vbae020, 2024.
Article en En | MEDLINE | ID: mdl-38425781
ABSTRACT

Summary:

High-throughput sequencing (HTS) offers a modern, fast, and explorative solution to unveil the full potential of display techniques, like antibody phage display, in molecular biology. However, a significant challenge lies in the processing and analysis of such data. Furthermore, there is a notable absence of open-access user-friendly software tools that can be utilized by scientists lacking programming expertise. Here, we present ExpoSeq as an easy-to-use tool to explore, process, and visualize HTS data from antibody discovery campaigns like an expert while only requiring a beginner's knowledge. Availability and implementation The pipeline is distributed via GitHub and PyPI, and it can either be installed as a package with pip or the user can choose to clone the repository.

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Bioinform Adv Año: 2024 Tipo del documento: Article País de afiliación: Dinamarca

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: Bioinform Adv Año: 2024 Tipo del documento: Article País de afiliación: Dinamarca