dc.contributor.author | Farooq, Amna | |
dc.contributor.author | Grønmyr, Sindre | |
dc.contributor.author | Omer, Ali Avan | |
dc.contributor.author | Rognes, Torbjørn | |
dc.contributor.author | Scheffler, Katja | |
dc.contributor.author | Bjørås, Magnar | |
dc.contributor.author | Wang, Junbai | |
dc.date.accessioned | 2021-01-08T08:43:08Z | |
dc.date.available | 2021-01-08T08:43:08Z | |
dc.date.created | 2020-11-10T00:16:01Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Computational and Structural Biotechnology Journal. 2020, 18 2877-2889. | en_US |
dc.identifier.issn | 2001-0370 | |
dc.identifier.uri | https://hdl.handle.net/11250/2722131 | |
dc.description.abstract | DNA methylation (5mC) and hydroxymethylation (5hmC) are chemical modifications of cytosine bases which play a crucial role in epigenetic gene regulation. However, cost, data complexity and unavailability of comprehensive analytical tools is one of the major challenges in exploring these epigenetic marks. Hydroxymethylation-and Methylation-Sensitive Tag sequencing (HMST-seq) is one of the most costeffective techniques that enables simultaneous detection of 5mC and 5hmC at single base pair resolution. We present HMST-Seq-Analyzer as a comprehensive and robust method for performing simultaneous differential methylation analysis on 5mC and 5hmC data sets. HMST-Seq-Analyzer can detect Differentially Methylated Regions (DMRs), annotate them, give a visual overview of methylation status and also perform preliminary quality check on the data. In addition to HMST-Seq, our tool can be used on wholegenome bisulfite sequencing (WGBS) and reduced representation bisulfite sequencing (RRBS) data sets as well. The tool is written in Python with capacity to process data in parallel and is available at (https://hmst-seq.github.io/hmst/) | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | HMST-Seq-Analyzer: A new python tool for differential methylation and hydroxymethylation analysis in various DNA methylation sequencing data | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.pagenumber | 2877-2889 | en_US |
dc.source.volume | 18 | en_US |
dc.source.journal | Computational and Structural Biotechnology Journal | en_US |
dc.identifier.doi | 10.1016/j.csbj.2020.09.038 | |
dc.identifier.cristin | 1846368 | |
dc.relation.project | Notur/NorStore: nn4605k | en_US |
dc.relation.project | Helse Sør-Øst RHF: HSØ 2018107 | en_US |
dc.relation.project | Helse Sør-Øst RHF: HSØ 2017061 | en_US |
dc.description.localcode | © 2020 The Author(s). Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. This is an open access article under the CC BY license (http://creativecommons. org/licenses/by/4.0/). | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |