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A survey of mapping algorithms in the long-reads era
It has been over a decade since the first publication of a method dedicated entirely to mapping long-reads. The distinctive characteristics of long reads resulted in methods moving from the seed-and-extend framework used for short reads to a seed-and-chain framework due to the seed abundance in each...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10236595/ https://www.ncbi.nlm.nih.gov/pubmed/37264447 http://dx.doi.org/10.1186/s13059-023-02972-3 |
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author | Sahlin, Kristoffer Baudeau, Thomas Cazaux, Bastien Marchet, Camille |
author_facet | Sahlin, Kristoffer Baudeau, Thomas Cazaux, Bastien Marchet, Camille |
author_sort | Sahlin, Kristoffer |
collection | PubMed |
description | It has been over a decade since the first publication of a method dedicated entirely to mapping long-reads. The distinctive characteristics of long reads resulted in methods moving from the seed-and-extend framework used for short reads to a seed-and-chain framework due to the seed abundance in each read. The main novelties are based on alternative seed constructs or chaining formulations. Dozens of tools now exist, whose heuristics have evolved considerably. We provide an overview of the methods used in long-read mappers. Since they are driven by implementation-specific parameters, we develop an original visualization tool to understand the parameter settings (http://bcazaux.polytech-lille.net/Minimap2/). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-02972-3. |
format | Online Article Text |
id | pubmed-10236595 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102365952023-06-03 A survey of mapping algorithms in the long-reads era Sahlin, Kristoffer Baudeau, Thomas Cazaux, Bastien Marchet, Camille Genome Biol Review It has been over a decade since the first publication of a method dedicated entirely to mapping long-reads. The distinctive characteristics of long reads resulted in methods moving from the seed-and-extend framework used for short reads to a seed-and-chain framework due to the seed abundance in each read. The main novelties are based on alternative seed constructs or chaining formulations. Dozens of tools now exist, whose heuristics have evolved considerably. We provide an overview of the methods used in long-read mappers. Since they are driven by implementation-specific parameters, we develop an original visualization tool to understand the parameter settings (http://bcazaux.polytech-lille.net/Minimap2/). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-02972-3. BioMed Central 2023-06-01 /pmc/articles/PMC10236595/ /pubmed/37264447 http://dx.doi.org/10.1186/s13059-023-02972-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 | Review Sahlin, Kristoffer Baudeau, Thomas Cazaux, Bastien Marchet, Camille A survey of mapping algorithms in the long-reads era |
title | A survey of mapping algorithms in the long-reads era |
title_full | A survey of mapping algorithms in the long-reads era |
title_fullStr | A survey of mapping algorithms in the long-reads era |
title_full_unstemmed | A survey of mapping algorithms in the long-reads era |
title_short | A survey of mapping algorithms in the long-reads era |
title_sort | survey of mapping algorithms in the long-reads era |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10236595/ https://www.ncbi.nlm.nih.gov/pubmed/37264447 http://dx.doi.org/10.1186/s13059-023-02972-3 |
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