AlignStatPlot: An R package and online tool for robust sequence alignment statistics and innovative visualization of big data

Multiple sequence alignment (MSA) is essential for understanding genetic variations con trolling phenotypic traits in all living organisms. The post-analysis of MSA results is a difficult step for researchers who do not have programming skills. Especially those working with large scale data and look...

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Autores principales: Alsamman, Alsamman M., El Allali, Achraf, Mokhtar, Morad M., Al-Shamaa, Khaled, Nassar, Ahmed E., Mousa, Khaled H., Kehel, Zakaria
Formato: Journal Article
Lenguaje:Inglés
Publicado: Public Library of Science 2024
Materias:
Acceso en línea:https://hdl.handle.net/10568/139335
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author Alsamman, Alsamman M.
El Allali, Achraf
Mokhtar, Morad M.
Al-Shamaa, Khaled
Nassar, Ahmed E.
Mousa, Khaled H.
Kehel, Zakaria
author_browse Al-Shamaa, Khaled
Alsamman, Alsamman M.
El Allali, Achraf
Kehel, Zakaria
Mokhtar, Morad M.
Mousa, Khaled H.
Nassar, Ahmed E.
author_facet Alsamman, Alsamman M.
El Allali, Achraf
Mokhtar, Morad M.
Al-Shamaa, Khaled
Nassar, Ahmed E.
Mousa, Khaled H.
Kehel, Zakaria
author_sort Alsamman, Alsamman M.
collection Repository of Agricultural Research Outputs (CGSpace)
description Multiple sequence alignment (MSA) is essential for understanding genetic variations con trolling phenotypic traits in all living organisms. The post-analysis of MSA results is a difficult step for researchers who do not have programming skills. Especially those working with large scale data and looking for potential variations or variable sample groups. Generating bi-allelic data and the comparison of wild and alternative gene forms are important steps in population genetics. Customising MSA visualisation for a single page view is difficult, mak ing viewing potential indels and variations challenging. There are currently no bioinformatics tools that permit post-MSA analysis, in which data on gene and single nucleotide scales could be combined with gene annotations and used for cluster analysis. We introduce “AlignStatPlot,” a new R package and online tool that is well-documented and easy-to use for MSA and post-MSA analysis. This tool performs both traditional and cutting-edge analy ses on sequencing data and generates new visualisation methods for MSA results. When compared to currently available tools, AlignStatPlot provides a robust ability to handle and visualise diversity data, while the online version will save time and encourage researchers to focus on explaining their findings. It is a simple tool that can be used in conjunction with population genetics software.
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spelling CGSpace1393352026-01-14T02:03:25Z AlignStatPlot: An R package and online tool for robust sequence alignment statistics and innovative visualization of big data Alsamman, Alsamman M. El Allali, Achraf Mokhtar, Morad M. Al-Shamaa, Khaled Nassar, Ahmed E. Mousa, Khaled H. Kehel, Zakaria big data genetics stocks alignstatplot Multiple sequence alignment (MSA) is essential for understanding genetic variations con trolling phenotypic traits in all living organisms. The post-analysis of MSA results is a difficult step for researchers who do not have programming skills. Especially those working with large scale data and looking for potential variations or variable sample groups. Generating bi-allelic data and the comparison of wild and alternative gene forms are important steps in population genetics. Customising MSA visualisation for a single page view is difficult, mak ing viewing potential indels and variations challenging. There are currently no bioinformatics tools that permit post-MSA analysis, in which data on gene and single nucleotide scales could be combined with gene annotations and used for cluster analysis. We introduce “AlignStatPlot,” a new R package and online tool that is well-documented and easy-to use for MSA and post-MSA analysis. This tool performs both traditional and cutting-edge analy ses on sequencing data and generates new visualisation methods for MSA results. When compared to currently available tools, AlignStatPlot provides a robust ability to handle and visualise diversity data, while the online version will save time and encourage researchers to focus on explaining their findings. It is a simple tool that can be used in conjunction with population genetics software. 2024-02-13T19:38:00Z 2024-02-13T19:38:00Z Journal Article https://hdl.handle.net/10568/139335 en Open Access application/pdf Public Library of Science Alsamman M. Alsamman, Achraf El Allali, Morad M. Mokhtar, Khaled Al-Shamaa, Ahmed E. Nassar, Khaled H. Mousa, Zakaria Kehel. (20/9/2023). AlignStatPlot: An R package and online tool for robust sequence alignment statistics and innovative visualization of big data. PLoS ONE, 18 (9).
spellingShingle big data
genetics
stocks
alignstatplot
Alsamman, Alsamman M.
El Allali, Achraf
Mokhtar, Morad M.
Al-Shamaa, Khaled
Nassar, Ahmed E.
Mousa, Khaled H.
Kehel, Zakaria
AlignStatPlot: An R package and online tool for robust sequence alignment statistics and innovative visualization of big data
title AlignStatPlot: An R package and online tool for robust sequence alignment statistics and innovative visualization of big data
title_full AlignStatPlot: An R package and online tool for robust sequence alignment statistics and innovative visualization of big data
title_fullStr AlignStatPlot: An R package and online tool for robust sequence alignment statistics and innovative visualization of big data
title_full_unstemmed AlignStatPlot: An R package and online tool for robust sequence alignment statistics and innovative visualization of big data
title_short AlignStatPlot: An R package and online tool for robust sequence alignment statistics and innovative visualization of big data
title_sort alignstatplot an r package and online tool for robust sequence alignment statistics and innovative visualization of big data
topic big data
genetics
stocks
alignstatplot
url https://hdl.handle.net/10568/139335
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