popSTR2 enables clinical and population-scale genotyping of microsatellites
dc.contributor | Reykjavík University (RU) | en_US |
dc.contributor | Háskólinn í Reykjavík (HR) | en_US |
dc.contributor.author | Kristmundsdottir, Snædis | |
dc.contributor.author | Eggertsson, Hannes P | |
dc.contributor.author | Arnadottir, Gudny A | |
dc.contributor.author | Halldórsson, Bjarni | |
dc.contributor.department | Verkfræðideild (HR) | en_US |
dc.contributor.department | Department of Engineering (RU) | en_US |
dc.contributor.school | Tæknisvið (HR) | en_US |
dc.contributor.school | School of Technology (RU) | en_US |
dc.date.accessioned | 2021-07-02T12:54:39Z | |
dc.date.available | 2021-07-02T12:54:39Z | |
dc.date.issued | 2019-12-05 | |
dc.description.abstract | Summary: popSTR2 is an update and augmentation of our previous work ‘popSTR: a population-based microsatellite genotyper’. To make genotyping sensitive to inter-sample differences, we supply a kernel to estimate sample-specific slippage rates. For clinical sequencing purposes, a panel of known pathogenic repeat expansions is provided along with a script that scans and flags for manual inspection markers indicative of a pathogenic expansion. Like its predecessor, popSTR2 allows for joint genotyping of samples at a population scale. We now provide a binning method that makes the microsatellite genotypes more amenable to analysis within standard association pipelines and can increase association power. Availability and implementation: https://github.com/DecodeGenetics/popSTR. Contact: snaedisk@decode.is or bjarni.halldorsson@decode.is Supplementary information: Supplementary data are available at Bioinformatics online. | en_US |
dc.description.version | Peer Reviewed (ritrýnd grein) | en_US |
dc.format.extent | 2269-2271 | en_US |
dc.identifier.citation | Kristmundsdottir, S., Eggertsson, H. P., Arnadottir, G. A. og Halldorsson, B. V. (2020). popSTR2 enables clinical and population-scale genotyping of microsatellites. Bioinformatics, 36(7), 2269–2271. https://doi.org/10.1093/bioinformatics/btz913 | en_US |
dc.identifier.doi | https://doi.org/10.1093/bioinformatics/btz913 | |
dc.identifier.issn | 1367-4803 | |
dc.identifier.issn | 1460-2059 | |
dc.identifier.journal | Bioinformatics | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.11815/2646 | |
dc.language.iso | en | en_US |
dc.publisher | Oxford University Press (OUP) | en_US |
dc.relation.ispartofseries | Bioinformatics;36(7) | |
dc.relation.url | https://academic.oup.com/bioinformatics/article/36/7/2269/5658624 | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Statistics and Probability | en_US |
dc.subject | Computational Theory and Mathematics | en_US |
dc.subject | Biochemistry | en_US |
dc.subject | Molecular Biology | en_US |
dc.subject | Computational Mathematics | en_US |
dc.subject | Computer Science Applications | en_US |
dc.subject | Líkindafræði | en_US |
dc.subject | Tölfræði | en_US |
dc.subject | Tölvunarfræði | en_US |
dc.subject | Lífefnafræði | en_US |
dc.subject | Sameindalíffræði | en_US |
dc.title | popSTR2 enables clinical and population-scale genotyping of microsatellites | en_US |
dc.type | info:eu-repo/semantics/article | en_US |
dcterms.license | VC The Author(s) 2019. Published by Oxford University Press. 2269 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. | en_US |
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