日本語
 
Help Privacy Policy ポリシー/免責事項
  詳細検索ブラウズ

アイテム詳細

  Haplotype inference from unphased SNP data in heterozygous polyploids based on SAT

Neigenfind, J., Gyetvai, G., Basekow, R., Diehl, S., Achenbach, U., Gebhardt, C., Selbig, J., & Kersten, B. (2008). Haplotype inference from unphased SNP data in heterozygous polyploids based on SAT. BMC Genomics, 9, 356. doi:10.1186/1471-2164-9-356.

Item is

基本情報

表示: 非表示:
資料種別: 学術論文

ファイル

表示: ファイル
非表示: ファイル
:
Neigenfind-2008-Haplotype inference.pdf (全文テキスト(全般)), 842KB
ファイルのパーマリンク:
https://hdl.handle.net/11858/00-001M-0000-0014-26F4-C
ファイル名:
Neigenfind-2008-Haplotype inference.pdf
説明:
-
OA-Status:
閲覧制限:
公開
MIMEタイプ / チェックサム:
application/pdf / [MD5]
技術的なメタデータ:
著作権日付:
-
著作権情報:
-
CCライセンス:
-

関連URL

表示:

作成者

表示:
非表示:
 作成者:
Neigenfind, J.1, 著者           
Gyetvai, G.2, 著者
Basekow, R.2, 著者
Diehl, S.2, 著者
Achenbach, U.2, 著者
Gebhardt, C.2, 著者
Selbig, J.3, 著者           
Kersten, B.1, 著者           
所属:
1BioinformaticsCIG, Infrastructure Groups and Service Units, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753303              
2External Organizations, ou_persistent22              
3BioinformaticsCRG, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753315              

内容説明

表示:
非表示:
キーワード: *Computational Biology Computer Simulation *Haplotypes Heterozygote Models, Genetic *Polymorphism, Single Nucleotide *Polyploidy *Software Solanum tuberosum/genetics
 要旨: ABSTRACT: BACKGROUND: Haplotype inference based on unphased SNP markers is an important task in population genetics. Although there are different approaches to the inference of haplotypes in diploid species, the existing software is not suitable for inferring haplotypes from unphased SNP data in polyploid species, such as the cultivated potato (Solanum tuberosum). Potato species are tetraploid and highly heterozygous. RESULTS: Here we present the software SATlotyper which is able to handle polyploid and polyallelic data. SATlotyper uses the Boolean satisfiability problem to formulate Haplotype Inference by Pure Parsimony. The software excludes existing haplotype inferences, thus allowing for calculation of alternative inferences. As it is not known which of the multiple haplotype inferences are best supported by the given unphased data set, we use a bootstrapping procedure that allows for scoring of alternative inferences. Finally, by means of the bootstrapping scores, it is possible to optimise the phased genotypes belonging to a given haplotype inference. The program is evaluated with simulated and experimental SNP data generated for heterozygous tetraploid populations of potato. We show that, instead of taking the first haplotype inference reported by the program, we can significantly improve the quality of the final result by applying additional methods that include scoring of the alternative haplotype inferences and genotype optimisation. For a sub-population of nineteen individuals, the predicted results computed by SATlotyper were directly compared with results obtained by experimental haplotype inference via sequencing of cloned amplicons. Prediction and experiment gave similar results regarding the inferred haplotypes and phased genotypes. CONCLUSIONS: Our results suggest that Haplotype Inference by Pure Parsimony can be solved efficiently by the SAT approach, even for data sets of unphased SNP from heterozygous polyploids. SATlotyper is freeware and is distributed as a Java JAR file. The software can be downloaded from the webpage of the GABI Primary Database at http://www.gabipd.org/projects/satlotyper/. The application of SATlotyper will provide haplotype information, which can be used in haplotype association mapping studies of polyploid plants.

資料詳細

表示:
非表示:
言語: eng - English
 日付: 2008-07-302008
 出版の状態: 出版
 ページ: -
 出版情報: -
 目次: -
 査読: -
 学位: -

関連イベント

表示:

訴訟

表示:

Project information

表示:

出版物 1

表示:
非表示:
出版物名: BMC Genomics
種別: 学術雑誌
 著者・編者:
所属:
出版社, 出版地: BioMed Central
ページ: - 巻号: 9 通巻号: - 開始・終了ページ: 356 識別子(ISBN, ISSN, DOIなど): ISSN: 1471-2164
CoNE: https://pure.mpg.de/cone/journals/resource/111000136905010