LAMPS: an analysis pipeline for sequence-specific ligation-mediated amplification reads
Abstract Objective Ligation-Mediated Amplification (LMA) is a versatile biochemical tool for amplifying selected DNA sequences. LMA has increased in popularity due to its integration within chromosome conformation capture (5C) and chromatin immunoprecipitation (2C-ChIP) methodologies. The output of...
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BMC
2020-06-01
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Series: | BMC Research Notes |
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Online Access: | http://link.springer.com/article/10.1186/s13104-020-05106-1 |
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author | Christopher J. F. Cameron Xue Q. D. Wang Josée Dostie Mathieu Blanchette |
author_facet | Christopher J. F. Cameron Xue Q. D. Wang Josée Dostie Mathieu Blanchette |
author_sort | Christopher J. F. Cameron |
collection | DOAJ |
description | Abstract Objective Ligation-Mediated Amplification (LMA) is a versatile biochemical tool for amplifying selected DNA sequences. LMA has increased in popularity due to its integration within chromosome conformation capture (5C) and chromatin immunoprecipitation (2C-ChIP) methodologies. The output of either 5C or 2C-ChIP protocols is a single-read sequencing library of ligated primer pairs that may or may not be multiplexed. While many computational tools currently exist for read mapping and analysis, these tools neither fully support multiplexed libraries nor provide qualitative reporting on the LMA primers involved. Typically, the task of library demultiplexing or primer analysis is offloaded on to the user. Our aim was to develop an easy-to-use pipeline for processing (multiplexed) single-read sequencing data produced by sequence-specific LMA. Results Here, we describe the Ligation-mediated Amplified, Multiplexed Primer-pair Sequence (LAMPS) analysis pipeline. LAMPS facilitates the analysis of multiplexed LMA sequencing data and provides a thorough assessment of a library’s reads for a variety of experimental parameters (e.g., primer-pair efficiency). The standardized output of LAMPS allows for easy integration with downstream analyses, such as data track visualization on a genome browser. LAMPS is made publicly available on GitHub: https://github.com/BlanchetteLab/LAMPS |
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id | doaj.art-10f3daefd8bf451497c7b8ba1859c0bb |
institution | Directory Open Access Journal |
issn | 1756-0500 |
language | English |
last_indexed | 2024-12-12T20:03:18Z |
publishDate | 2020-06-01 |
publisher | BMC |
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spelling | doaj.art-10f3daefd8bf451497c7b8ba1859c0bb2022-12-22T00:13:41ZengBMCBMC Research Notes1756-05002020-06-011311410.1186/s13104-020-05106-1LAMPS: an analysis pipeline for sequence-specific ligation-mediated amplification readsChristopher J. F. Cameron0Xue Q. D. Wang1Josée Dostie2Mathieu Blanchette3School of Computer Science, McGill UniversityDepartment of Biochemistry and Goodman Cancer Research Center, McGill UniversityDepartment of Biochemistry and Goodman Cancer Research Center, McGill UniversitySchool of Computer Science, McGill UniversityAbstract Objective Ligation-Mediated Amplification (LMA) is a versatile biochemical tool for amplifying selected DNA sequences. LMA has increased in popularity due to its integration within chromosome conformation capture (5C) and chromatin immunoprecipitation (2C-ChIP) methodologies. The output of either 5C or 2C-ChIP protocols is a single-read sequencing library of ligated primer pairs that may or may not be multiplexed. While many computational tools currently exist for read mapping and analysis, these tools neither fully support multiplexed libraries nor provide qualitative reporting on the LMA primers involved. Typically, the task of library demultiplexing or primer analysis is offloaded on to the user. Our aim was to develop an easy-to-use pipeline for processing (multiplexed) single-read sequencing data produced by sequence-specific LMA. Results Here, we describe the Ligation-mediated Amplified, Multiplexed Primer-pair Sequence (LAMPS) analysis pipeline. LAMPS facilitates the analysis of multiplexed LMA sequencing data and provides a thorough assessment of a library’s reads for a variety of experimental parameters (e.g., primer-pair efficiency). The standardized output of LAMPS allows for easy integration with downstream analyses, such as data track visualization on a genome browser. LAMPS is made publicly available on GitHub: https://github.com/BlanchetteLab/LAMPShttp://link.springer.com/article/10.1186/s13104-020-05106-1Bioinformatics pipelineMultiplexed ligation-mediated amplificationCarbon copy-chromatin immunoprecipitationChromosome Conformation Capture Carbon Copy |
spellingShingle | Christopher J. F. Cameron Xue Q. D. Wang Josée Dostie Mathieu Blanchette LAMPS: an analysis pipeline for sequence-specific ligation-mediated amplification reads BMC Research Notes Bioinformatics pipeline Multiplexed ligation-mediated amplification Carbon copy-chromatin immunoprecipitation Chromosome Conformation Capture Carbon Copy |
title | LAMPS: an analysis pipeline for sequence-specific ligation-mediated amplification reads |
title_full | LAMPS: an analysis pipeline for sequence-specific ligation-mediated amplification reads |
title_fullStr | LAMPS: an analysis pipeline for sequence-specific ligation-mediated amplification reads |
title_full_unstemmed | LAMPS: an analysis pipeline for sequence-specific ligation-mediated amplification reads |
title_short | LAMPS: an analysis pipeline for sequence-specific ligation-mediated amplification reads |
title_sort | lamps an analysis pipeline for sequence specific ligation mediated amplification reads |
topic | Bioinformatics pipeline Multiplexed ligation-mediated amplification Carbon copy-chromatin immunoprecipitation Chromosome Conformation Capture Carbon Copy |
url | http://link.springer.com/article/10.1186/s13104-020-05106-1 |
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