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SeSAM: software for automatic construction of order-robust linkage maps

BACKGROUND: Genotyping and sequencing technologies produce increasingly large numbers of genetic markers with potentially high rates of missing or erroneous data. Therefore, the construction of linkage maps is more and more complex. Moreover, the size of segregating populations remains constrained b...

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Autores principales: Vidal, Adrien, Gauthier, Franck, Rodrigez, Willy, Guiglielmoni, Nadège, Leroux, Damien, Chevrolier, Nicolas, Jasson, Sylvain, Tourrette, Elise, Martin, Olivier C., Falque, Matthieu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675223/
https://www.ncbi.nlm.nih.gov/pubmed/36402957
http://dx.doi.org/10.1186/s12859-022-05045-7
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author Vidal, Adrien
Gauthier, Franck
Rodrigez, Willy
Guiglielmoni, Nadège
Leroux, Damien
Chevrolier, Nicolas
Jasson, Sylvain
Tourrette, Elise
Martin, Olivier C.
Falque, Matthieu
author_facet Vidal, Adrien
Gauthier, Franck
Rodrigez, Willy
Guiglielmoni, Nadège
Leroux, Damien
Chevrolier, Nicolas
Jasson, Sylvain
Tourrette, Elise
Martin, Olivier C.
Falque, Matthieu
author_sort Vidal, Adrien
collection PubMed
description BACKGROUND: Genotyping and sequencing technologies produce increasingly large numbers of genetic markers with potentially high rates of missing or erroneous data. Therefore, the construction of linkage maps is more and more complex. Moreover, the size of segregating populations remains constrained by cost issues and is less and less commensurate with the numbers of SNPs available. Thus, guaranteeing a statistically robust marker order requires that maps include only a carefully selected subset of SNPs. RESULTS: In this context, the SeSAM software allows automatic genetic map construction using seriation and placement approaches, to produce (1) a high-robustness framework map which includes as many markers as possible while keeping the order robustness beyond a given statistical threshold, and (2) a high-density total map including the framework plus almost all polymorphic markers. During this process, care is taken to limit the impact of genotyping errors and of missing data on mapping quality. SeSAM can be used with a wide range of biparental populations including from outcrossing species for which phases are inferred on-the-fly by maximum-likelihood during map elongation. The package also includes functions to simulate data sets, convert data formats, detect putative genotyping errors, visualize data and map quality (including graphical genotypes), and merge several maps into a consensus. SeSAM is also suitable for interactive map construction, by providing lower-level functions for 2-point and multipoint EM analyses. The software is implemented in a R package including functions in C++. CONCLUSIONS: SeSAM is a fully automatic linkage mapping software designed to (1) produce a framework map as robust as desired by optimizing the selection of a subset of markers, and (2) produce a high-density map including almost all polymorphic markers. The software can be used with a wide range of biparental mapping populations including cases from outcrossing. SeSAM is freely available under a GNU GPL v3 license and works on Linux, Windows, and macOS platforms. It can be downloaded together with its user-manual and quick-start tutorial from ForgeMIA (SeSAM project) at https://forgemia.inra.fr/gqe-acep/sesam/-/releases SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-022-05045-7.
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spelling pubmed-96752232022-11-20 SeSAM: software for automatic construction of order-robust linkage maps Vidal, Adrien Gauthier, Franck Rodrigez, Willy Guiglielmoni, Nadège Leroux, Damien Chevrolier, Nicolas Jasson, Sylvain Tourrette, Elise Martin, Olivier C. Falque, Matthieu BMC Bioinformatics Software BACKGROUND: Genotyping and sequencing technologies produce increasingly large numbers of genetic markers with potentially high rates of missing or erroneous data. Therefore, the construction of linkage maps is more and more complex. Moreover, the size of segregating populations remains constrained by cost issues and is less and less commensurate with the numbers of SNPs available. Thus, guaranteeing a statistically robust marker order requires that maps include only a carefully selected subset of SNPs. RESULTS: In this context, the SeSAM software allows automatic genetic map construction using seriation and placement approaches, to produce (1) a high-robustness framework map which includes as many markers as possible while keeping the order robustness beyond a given statistical threshold, and (2) a high-density total map including the framework plus almost all polymorphic markers. During this process, care is taken to limit the impact of genotyping errors and of missing data on mapping quality. SeSAM can be used with a wide range of biparental populations including from outcrossing species for which phases are inferred on-the-fly by maximum-likelihood during map elongation. The package also includes functions to simulate data sets, convert data formats, detect putative genotyping errors, visualize data and map quality (including graphical genotypes), and merge several maps into a consensus. SeSAM is also suitable for interactive map construction, by providing lower-level functions for 2-point and multipoint EM analyses. The software is implemented in a R package including functions in C++. CONCLUSIONS: SeSAM is a fully automatic linkage mapping software designed to (1) produce a framework map as robust as desired by optimizing the selection of a subset of markers, and (2) produce a high-density map including almost all polymorphic markers. The software can be used with a wide range of biparental mapping populations including cases from outcrossing. SeSAM is freely available under a GNU GPL v3 license and works on Linux, Windows, and macOS platforms. It can be downloaded together with its user-manual and quick-start tutorial from ForgeMIA (SeSAM project) at https://forgemia.inra.fr/gqe-acep/sesam/-/releases SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-022-05045-7. BioMed Central 2022-11-19 /pmc/articles/PMC9675223/ /pubmed/36402957 http://dx.doi.org/10.1186/s12859-022-05045-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Software
Vidal, Adrien
Gauthier, Franck
Rodrigez, Willy
Guiglielmoni, Nadège
Leroux, Damien
Chevrolier, Nicolas
Jasson, Sylvain
Tourrette, Elise
Martin, Olivier C.
Falque, Matthieu
SeSAM: software for automatic construction of order-robust linkage maps
title SeSAM: software for automatic construction of order-robust linkage maps
title_full SeSAM: software for automatic construction of order-robust linkage maps
title_fullStr SeSAM: software for automatic construction of order-robust linkage maps
title_full_unstemmed SeSAM: software for automatic construction of order-robust linkage maps
title_short SeSAM: software for automatic construction of order-robust linkage maps
title_sort sesam: software for automatic construction of order-robust linkage maps
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675223/
https://www.ncbi.nlm.nih.gov/pubmed/36402957
http://dx.doi.org/10.1186/s12859-022-05045-7
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