Cargando…
SangeR: the high-throughput Sanger sequencing analysis pipeline
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 analysi...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710597/ https://www.ncbi.nlm.nih.gov/pubmed/36699395 http://dx.doi.org/10.1093/bioadv/vbac009 |
_version_ | 1784841400780587008 |
---|---|
author | Schmid, Kai Dohmen, Hildegard Ritschel, Nadja Selignow, Carmen Zohner, Jochen Sehring, Jannik Acker, Till Amsel, Daniel |
author_facet | Schmid, Kai Dohmen, Hildegard Ritschel, Nadja Selignow, Carmen Zohner, Jochen Sehring, Jannik Acker, Till Amsel, Daniel |
author_sort | Schmid, Kai |
collection | PubMed |
description | 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_r 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. |
format | Online Article Text |
id | pubmed-9710597 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-97105972023-01-24 SangeR: the high-throughput Sanger sequencing analysis pipeline Schmid, Kai Dohmen, Hildegard Ritschel, Nadja Selignow, Carmen Zohner, Jochen Sehring, Jannik Acker, Till Amsel, Daniel Bioinform Adv Application Note 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_r 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. Oxford University Press 2022-01-31 /pmc/articles/PMC9710597/ /pubmed/36699395 http://dx.doi.org/10.1093/bioadv/vbac009 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Application Note Schmid, Kai Dohmen, Hildegard Ritschel, Nadja Selignow, Carmen Zohner, Jochen Sehring, Jannik Acker, Till Amsel, Daniel SangeR: the high-throughput Sanger sequencing analysis pipeline |
title | SangeR: the high-throughput Sanger sequencing analysis pipeline |
title_full | SangeR: the high-throughput Sanger sequencing analysis pipeline |
title_fullStr | SangeR: the high-throughput Sanger sequencing analysis pipeline |
title_full_unstemmed | SangeR: the high-throughput Sanger sequencing analysis pipeline |
title_short | SangeR: the high-throughput Sanger sequencing analysis pipeline |
title_sort | sanger: the high-throughput sanger sequencing analysis pipeline |
topic | Application Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710597/ https://www.ncbi.nlm.nih.gov/pubmed/36699395 http://dx.doi.org/10.1093/bioadv/vbac009 |
work_keys_str_mv | AT schmidkai sangerthehighthroughputsangersequencinganalysispipeline AT dohmenhildegard sangerthehighthroughputsangersequencinganalysispipeline AT ritschelnadja sangerthehighthroughputsangersequencinganalysispipeline AT selignowcarmen sangerthehighthroughputsangersequencinganalysispipeline AT zohnerjochen sangerthehighthroughputsangersequencinganalysispipeline AT sehringjannik sangerthehighthroughputsangersequencinganalysispipeline AT ackertill sangerthehighthroughputsangersequencinganalysispipeline AT amseldaniel sangerthehighthroughputsangersequencinganalysispipeline |