Journal article
Authors list: Schmid, Kai; Dohmen, Hildegard; Ritschel, Nadja; Selignow, Carmen; Zohner, Jochen; Sehring, Jannik; Acker, Till; Amsel, Daniel; Stamatakis, Alexandros
Publication year: 2022
Journal: Bioinformatics Advances
Volume number: 2
Issue number: 1
eISSN: 2635-0041
Open access status: Gold
DOI Link: https://doi.org/10.1093/bioadv/vbac009
Publisher: Oxford University Press
Abstract:
In the era of next generation sequencing and beyond, the Sanger technique is still widely used for variant verification of inconclusive or ambiguous high-throughput sequencing results or as a low-cost molecular genetical analysis tool for single targets in many fields of study. Many analysis steps need time-consuming manual intervention. Therefore, we present here a pipeline-capable high-throughput solution with an optional Shiny web interface, that provides a binary mutation decision of hotspots together with plotted chromatograms including annotations via flat files.
Citation Styles
Harvard Citation style: Schmid, K., Dohmen, H., Ritschel, N., Selignow, C., Zohner, J., Sehring, J., et al. (2022) SangeR: the high-throughput Sanger sequencing analysis pipeline, Bioinformatics Advances, 2(1), Article vbac009. https://doi.org/10.1093/bioadv/vbac009
APA Citation style: Schmid, K., Dohmen, H., Ritschel, N., Selignow, C., Zohner, J., Sehring, J., Acker, T., Amsel, D., & Stamatakis, A. (2022). SangeR: the high-throughput Sanger sequencing analysis pipeline. Bioinformatics Advances. 2(1), Article vbac009. https://doi.org/10.1093/bioadv/vbac009