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TARSII and CARSII: Two approaches for SNP-independent identification of germline differentially methylated regions in mammals
Identifying germline differentially methylated regions (DMRs) in outbred mammals remains a challenge because of difficulty in obtaining single-nucleotide polymorphisms (SNPs). To overcome this difficulty, we developed two computational approaches, TARSII and CARSII, which allow accurate prediction o...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931438/ https://www.ncbi.nlm.nih.gov/pubmed/35310079 http://dx.doi.org/10.1016/j.xpro.2022.101240 |
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author | Zhang, Wenhao Zhang, Yi |
author_facet | Zhang, Wenhao Zhang, Yi |
author_sort | Zhang, Wenhao |
collection | PubMed |
description | Identifying germline differentially methylated regions (DMRs) in outbred mammals remains a challenge because of difficulty in obtaining single-nucleotide polymorphisms (SNPs). To overcome this difficulty, we developed two computational approaches, TARSII and CARSII, which allow accurate prediction of germline DMRs from DNA methylomes independent of SNPs. Furthermore, we introduce an easy and quick way to validate the predicted germline DMRs with allelic DNA methylation using CGmapTools. Collectively, our strategy can greatly facilitate de novo identification of germline DMRs in outbred mammals. For complete details on the use and execution of this protocol, please refer to Chu et al. (2021). |
format | Online Article Text |
id | pubmed-8931438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-89314382022-03-19 TARSII and CARSII: Two approaches for SNP-independent identification of germline differentially methylated regions in mammals Zhang, Wenhao Zhang, Yi STAR Protoc Protocol Identifying germline differentially methylated regions (DMRs) in outbred mammals remains a challenge because of difficulty in obtaining single-nucleotide polymorphisms (SNPs). To overcome this difficulty, we developed two computational approaches, TARSII and CARSII, which allow accurate prediction of germline DMRs from DNA methylomes independent of SNPs. Furthermore, we introduce an easy and quick way to validate the predicted germline DMRs with allelic DNA methylation using CGmapTools. Collectively, our strategy can greatly facilitate de novo identification of germline DMRs in outbred mammals. For complete details on the use and execution of this protocol, please refer to Chu et al. (2021). Elsevier 2022-03-15 /pmc/articles/PMC8931438/ /pubmed/35310079 http://dx.doi.org/10.1016/j.xpro.2022.101240 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Zhang, Wenhao Zhang, Yi TARSII and CARSII: Two approaches for SNP-independent identification of germline differentially methylated regions in mammals |
title | TARSII and CARSII: Two approaches for SNP-independent identification of germline differentially methylated regions in mammals |
title_full | TARSII and CARSII: Two approaches for SNP-independent identification of germline differentially methylated regions in mammals |
title_fullStr | TARSII and CARSII: Two approaches for SNP-independent identification of germline differentially methylated regions in mammals |
title_full_unstemmed | TARSII and CARSII: Two approaches for SNP-independent identification of germline differentially methylated regions in mammals |
title_short | TARSII and CARSII: Two approaches for SNP-independent identification of germline differentially methylated regions in mammals |
title_sort | tarsii and carsii: two approaches for snp-independent identification of germline differentially methylated regions in mammals |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931438/ https://www.ncbi.nlm.nih.gov/pubmed/35310079 http://dx.doi.org/10.1016/j.xpro.2022.101240 |
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