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Msuite2: All-in-one DNA methylation data analysis toolkit with enhanced usability and performance
DNA methylation is an important epigenetic regulator that plays crucial roles in various biological processes. Recent developments in experimental approaches and dramatic expansion of sequencing capacities have imposed new challenges in the analysis of large-scale, cross-species DNA methylation data...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8918723/ https://www.ncbi.nlm.nih.gov/pubmed/35317233 http://dx.doi.org/10.1016/j.csbj.2022.03.005 |
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author | Li, Lishi An, Yunyun Ma, Li Yang, Mengqi Yuan, Pengxiang Liu, Xiaojian Jin, Xin Zhao, Yu Zhang, Songfa Hong, Xin Sun, Kun |
author_facet | Li, Lishi An, Yunyun Ma, Li Yang, Mengqi Yuan, Pengxiang Liu, Xiaojian Jin, Xin Zhao, Yu Zhang, Songfa Hong, Xin Sun, Kun |
author_sort | Li, Lishi |
collection | PubMed |
description | DNA methylation is an important epigenetic regulator that plays crucial roles in various biological processes. Recent developments in experimental approaches and dramatic expansion of sequencing capacities have imposed new challenges in the analysis of large-scale, cross-species DNA methylation data. Hence, user-friendly toolkits with high usability and performance are in urgent need. In this work, we present Msuite2, an easy-to-use, all-in-one, and universal toolkit for DNA methylation data analysis and visualization with high flexibility, usability, and performance. Msuite2 is among the fastest tools in read alignment (in particular, it runs as much as 5x faster than its predecessor, Msuite1) with low computing resource usage. In addition, Msuite2 shows both balanced and high performance in terms of mapping efficiency and accuracy, demonstrating high potential to facilitate the investigation and application of large-scale DNA methylation analysis in various biomedical studies. Msuite2 is freely available at https://github.com/hellosunking/Msuite2/. |
format | Online Article Text |
id | pubmed-8918723 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-89187232022-03-21 Msuite2: All-in-one DNA methylation data analysis toolkit with enhanced usability and performance Li, Lishi An, Yunyun Ma, Li Yang, Mengqi Yuan, Pengxiang Liu, Xiaojian Jin, Xin Zhao, Yu Zhang, Songfa Hong, Xin Sun, Kun Comput Struct Biotechnol J Research Article DNA methylation is an important epigenetic regulator that plays crucial roles in various biological processes. Recent developments in experimental approaches and dramatic expansion of sequencing capacities have imposed new challenges in the analysis of large-scale, cross-species DNA methylation data. Hence, user-friendly toolkits with high usability and performance are in urgent need. In this work, we present Msuite2, an easy-to-use, all-in-one, and universal toolkit for DNA methylation data analysis and visualization with high flexibility, usability, and performance. Msuite2 is among the fastest tools in read alignment (in particular, it runs as much as 5x faster than its predecessor, Msuite1) with low computing resource usage. In addition, Msuite2 shows both balanced and high performance in terms of mapping efficiency and accuracy, demonstrating high potential to facilitate the investigation and application of large-scale DNA methylation analysis in various biomedical studies. Msuite2 is freely available at https://github.com/hellosunking/Msuite2/. Research Network of Computational and Structural Biotechnology 2022-03-10 /pmc/articles/PMC8918723/ /pubmed/35317233 http://dx.doi.org/10.1016/j.csbj.2022.03.005 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Article Li, Lishi An, Yunyun Ma, Li Yang, Mengqi Yuan, Pengxiang Liu, Xiaojian Jin, Xin Zhao, Yu Zhang, Songfa Hong, Xin Sun, Kun Msuite2: All-in-one DNA methylation data analysis toolkit with enhanced usability and performance |
title | Msuite2: All-in-one DNA methylation data analysis toolkit with enhanced usability and performance |
title_full | Msuite2: All-in-one DNA methylation data analysis toolkit with enhanced usability and performance |
title_fullStr | Msuite2: All-in-one DNA methylation data analysis toolkit with enhanced usability and performance |
title_full_unstemmed | Msuite2: All-in-one DNA methylation data analysis toolkit with enhanced usability and performance |
title_short | Msuite2: All-in-one DNA methylation data analysis toolkit with enhanced usability and performance |
title_sort | msuite2: all-in-one dna methylation data analysis toolkit with enhanced usability and performance |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8918723/ https://www.ncbi.nlm.nih.gov/pubmed/35317233 http://dx.doi.org/10.1016/j.csbj.2022.03.005 |
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