Journalartikel

SangeR: the high-throughput Sanger sequencing analysis pipeline


AutorenlisteSchmid, Kai; Dohmen, Hildegard; Ritschel, Nadja; Selignow, Carmen; Zohner, Jochen; Sehring, Jannik; Acker, Till; Amsel, Daniel; Stamatakis, Alexandros

Jahr der Veröffentlichung2022

ZeitschriftBioinformatics Advances

Bandnummer2

Heftnummer1

eISSN2635-0041

Open Access StatusGold

DOI Linkhttps://doi.org/10.1093/bioadv/vbac009

VerlagOxford 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.



Zitierstile

Harvard-ZitierstilSchmid, 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-ZitierstilSchmid, 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



Nachhaltigkeitsbezüge


Zuletzt aktualisiert 2025-10-06 um 12:02