Academic Journal
ExpoSeq: simplified analysis of high-throughput sequencing data from antibody discovery campaigns
العنوان: | ExpoSeq: simplified analysis of high-throughput sequencing data from antibody discovery campaigns |
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المؤلفون: | Sørensen, Christoffer V., Hofmann, Nils, Rawat, Puneet, Sørensen, Frederik V., Ljungars, Anne, Greiff, Victor, Laustsen, Andreas H., Jenkins, Timothy P. |
المصدر: | Sørensen , C V , Hofmann , N , Rawat , P , Sørensen , F V , Ljungars , A , Greiff , V , Laustsen , A H & Jenkins , T P 2024 , ' ExpoSeq: simplified analysis of high-throughput sequencing data from antibody discovery campaigns ' , Bioinformatics Advances , vol. 4 , no. 1 , vbae020 . https://doi.org/10.1093/bioadv/vbae020 |
سنة النشر: | 2024 |
المجموعة: | Technical University of Denmark: DTU Orbit / Danmarks Tekniske Universitet |
الوصف: | 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. |
نوع الوثيقة: | article in journal/newspaper |
وصف الملف: | application/pdf |
اللغة: | English |
Relation: | https://orbit.dtu.dk/en/publications/23cbb7de-c8e3-47c6-87d7-af06a5ac3469 |
DOI: | 10.1093/bioadv/vbae020 |
الاتاحة: | https://orbit.dtu.dk/en/publications/23cbb7de-c8e3-47c6-87d7-af06a5ac3469 https://doi.org/10.1093/bioadv/vbae020 https://backend.orbit.dtu.dk/ws/files/354019534/vbae020.pdf |
Rights: | info:eu-repo/semantics/openAccess |
رقم الانضمام: | edsbas.4ACB504F |
قاعدة البيانات: | BASE |
DOI: | 10.1093/bioadv/vbae020 |
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