TY - JOUR
T1 - ExpoSeq: simplified analysis of high-throughput sequencing data from antibody discovery campaigns
AU - Sørensen, Christoffer V.
AU - Hofmann, Nils
AU - Rawat, Puneet
AU - Sørensen, Frederik V.
AU - Ljungars, Anne
AU - Greiff, Victor
AU - Laustsen, Andreas H.
AU - Jenkins, Timothy P.
PY - 2024
Y1 - 2024
N2 - 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. 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.
AB - 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. 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.
U2 - 10.1093/bioadv/vbae020
DO - 10.1093/bioadv/vbae020
M3 - Journal article
C2 - 38425781
SN - 2635-0041
VL - 4
JO - Bioinformatics Advances
JF - Bioinformatics Advances
IS - 1
M1 - vbae020
ER -