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SangeR: the high-throughput Sanger sequencing analysis pipeline.

Authors :
Schmid, Kai
Dohmen, Hildegard
Ritschel, Nadja
Selignow, Carmen
Zohner, Jochen
Sehring, Jannik
Acker, Till
Amsel, Daniel
Source :
Bioinformatics Advances; 2022, Vol. 2 Issue 1, p1-2, 2p
Publication Year :
2022

Abstract

Summary 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. Availability and implementation SangeR is freely available at https://github.com/Neuropathology-Giessen/SangeR and https://hub.docker.com/repository/docker/kaischmid/sange%5fr Contact Kai.Schmid@patho.med.uni-giessen.de or Daniel.Amsel@patho.med.uni-giessen.de Supplementary information Supplementary data are available at Bioinformatics online. [ABSTRACT FROM AUTHOR]

Details

Language :
English
Volume :
2
Issue :
1
Database :
Complementary Index
Journal :
Bioinformatics Advances
Publication Type :
Academic Journal
Accession number :
162786259
Full Text :
https://doi.org/10.1093/bioadv/vbac009