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Comparative analysis of statistical tools for oil palm phytochemical research
Recent advances in phytochemical analysis have allowed the accumulation of data for crop researchers due to its capacity to footprint and distinguish metabolites that are present within an organisms, tissues or cells. Apart from genotypic traits, slight changes either by biotic or abiotic stimuli wi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856480/ https://www.ncbi.nlm.nih.gov/pubmed/33553773 http://dx.doi.org/10.1016/j.heliyon.2021.e06048 |
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author | Ishak, Nur Ain Tahir, Noor Idayu Mohd Sa'id, Syafi'ah Nadiah Gopal, Kathiresan Othman, Abrizah Ramli, Umi Salamah |
author_facet | Ishak, Nur Ain Tahir, Noor Idayu Mohd Sa'id, Syafi'ah Nadiah Gopal, Kathiresan Othman, Abrizah Ramli, Umi Salamah |
author_sort | Ishak, Nur Ain |
collection | PubMed |
description | Recent advances in phytochemical analysis have allowed the accumulation of data for crop researchers due to its capacity to footprint and distinguish metabolites that are present within an organisms, tissues or cells. Apart from genotypic traits, slight changes either by biotic or abiotic stimuli will have significant impact on the metabolite abundances and will eventually be observed through physicochemical characteristics. Apposite data mining to interpret the mounds of phytochemical information from such a dynamic system is thus incumbent. In this investigation, several statistical software platforms ranging from exploratory and confirmatory technique of multivariate data analysis from four different statistical tools of COVAIN, SIMCA-P+, MetaboAnalyst and RIKEN Excel Macro were appraised using an oil palm phytochemical data set. As different software tool encompasses its own advantages and limitations, the insights gained from this assessment were documented to enlighten several aspects of functions and suitability for the adaptation of the tools into the oil palm phytochemistry pipeline. This comparative analysis will certainly provide scientists with salient notes on data assessment and data mining that will later allow the depiction of the overall oil palm status in-situ and ex-situ. |
format | Online Article Text |
id | pubmed-7856480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-78564802021-02-05 Comparative analysis of statistical tools for oil palm phytochemical research Ishak, Nur Ain Tahir, Noor Idayu Mohd Sa'id, Syafi'ah Nadiah Gopal, Kathiresan Othman, Abrizah Ramli, Umi Salamah Heliyon Research Article Recent advances in phytochemical analysis have allowed the accumulation of data for crop researchers due to its capacity to footprint and distinguish metabolites that are present within an organisms, tissues or cells. Apart from genotypic traits, slight changes either by biotic or abiotic stimuli will have significant impact on the metabolite abundances and will eventually be observed through physicochemical characteristics. Apposite data mining to interpret the mounds of phytochemical information from such a dynamic system is thus incumbent. In this investigation, several statistical software platforms ranging from exploratory and confirmatory technique of multivariate data analysis from four different statistical tools of COVAIN, SIMCA-P+, MetaboAnalyst and RIKEN Excel Macro were appraised using an oil palm phytochemical data set. As different software tool encompasses its own advantages and limitations, the insights gained from this assessment were documented to enlighten several aspects of functions and suitability for the adaptation of the tools into the oil palm phytochemistry pipeline. This comparative analysis will certainly provide scientists with salient notes on data assessment and data mining that will later allow the depiction of the overall oil palm status in-situ and ex-situ. Elsevier 2021-02-01 /pmc/articles/PMC7856480/ /pubmed/33553773 http://dx.doi.org/10.1016/j.heliyon.2021.e06048 Text en © 2021 Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Ishak, Nur Ain Tahir, Noor Idayu Mohd Sa'id, Syafi'ah Nadiah Gopal, Kathiresan Othman, Abrizah Ramli, Umi Salamah Comparative analysis of statistical tools for oil palm phytochemical research |
title | Comparative analysis of statistical tools for oil palm phytochemical research |
title_full | Comparative analysis of statistical tools for oil palm phytochemical research |
title_fullStr | Comparative analysis of statistical tools for oil palm phytochemical research |
title_full_unstemmed | Comparative analysis of statistical tools for oil palm phytochemical research |
title_short | Comparative analysis of statistical tools for oil palm phytochemical research |
title_sort | comparative analysis of statistical tools for oil palm phytochemical research |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856480/ https://www.ncbi.nlm.nih.gov/pubmed/33553773 http://dx.doi.org/10.1016/j.heliyon.2021.e06048 |
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