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dc.contributor.author | Sugihara, Yu | en |
dc.contributor.author | Young, Lester | en |
dc.contributor.author | Yaegashi, Hiroki | en |
dc.contributor.author | Natsume, Satoshi | en |
dc.contributor.author | Shea, Daniel J. | en |
dc.contributor.author | Takagi, Hiroki | en |
dc.contributor.author | Booker, Helen | en |
dc.contributor.author | Innan, Hideki | en |
dc.contributor.author | Terauchi, Ryohei | en |
dc.contributor.author | Abe, Akira | en |
dc.contributor.alternative | 杉原, 優 | ja |
dc.contributor.alternative | 寺内, 良平 | ja |
dc.date.accessioned | 2023-01-31T06:41:21Z | - |
dc.date.available | 2023-01-31T06:41:21Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | http://hdl.handle.net/2433/278958 | - |
dc.description.abstract | [Summary] Bulked segregant analysis implemented in MutMap and QTL-seq is a powerful and efficient method to identify loci contributing to important phenotypic traits. However, the previous pipelines were not user-friendly to install and run. Here, we describe new pipelines for MutMap and QTL-seq. These updated pipelines are approximately 5–8 times faster than the previous pipeline, are easier for novice users to use, and can be easily installed through bioconda with all dependencies. [Availability] The new pipelines of MutMap and QTL-seq are written in Python and can be installed via bioconda. The source code and manuals are available online (MutMap: https://github.com/YuSugihara/MutMap, QTL-seq: https://github.com/YuSugihara/QTL-seq). | en |
dc.language.iso | eng | - |
dc.publisher | PeerJ | en |
dc.rights | © 2022 Sugihara et al. | en |
dc.rights | This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. | en |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | Bioinformatics | en |
dc.subject | Bulked-segregant analysis | en |
dc.subject | QTL analysis | en |
dc.subject | Mutation mapping | en |
dc.subject | Agricultural science | en |
dc.title | High-performance pipeline for MutMap and QTL-seq | en |
dc.type | journal article | - |
dc.type.niitype | Journal Article | - |
dc.identifier.jtitle | PeerJ | en |
dc.identifier.volume | 10 | - |
dc.relation.doi | 10.7717/peerj.13170 | - |
dc.textversion | publisher | - |
dc.identifier.artnum | e13170 | - |
dc.identifier.pmid | 35321412 | - |
dcterms.accessRights | open access | - |
datacite.awardNumber | 20H02962 | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20H02962/ | - |
dc.identifier.eissn | 2167-8359 | - |
jpcoar.funderName | 日本学術振興会 | ja |
jpcoar.awardTitle | イネNAM集団を用いた新規ゲノム予測手法による遺伝子同定とネットワーク解明 | ja |
出現コレクション: | 学術雑誌掲載論文等 |

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