PMart Web Application: Marketplace for Interactive Analysis of Panomics Data
PMart is a web-based tool for reproducible quality control, exploratory data analysis, statistical analysis, and interactive visualization of ‘omics data, based on the functionality of the pmartR R package. The newly improved user interface supports more ‘omics data types, additional statistical cap...
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Published in | Journal of proteome research Vol. 23; no. 8; pp. 3310 - 3317 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
American Chemical Society
02.08.2024
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Subjects | |
Online Access | Get full text |
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Abstract | PMart is a web-based tool for reproducible quality control, exploratory data analysis, statistical analysis, and interactive visualization of ‘omics data, based on the functionality of the pmartR R package. The newly improved user interface supports more ‘omics data types, additional statistical capabilities, and enhanced options for creating downloadable graphics. PMart supports the analysis of label-free and isobaric-labeled (e.g., TMT, iTRAQ) proteomics, nuclear magnetic resonance (NMR) and mass-spectrometry (MS)-based metabolomics, MS-based lipidomics, and ribonucleic acid sequencing (RNA-seq) transcriptomics data. At the end of a PMart session, a report is available that summarizes the processing steps performed and includes the pmartR R package functions used to execute the data processing. In addition, built-in safeguards in the backend code prevent users from utilizing methods that are inappropriate based on omics data type. PMart is a user-friendly interface for conducting exploratory data analysis and statistical comparisons of omics data without programming. |
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AbstractList | PMart is a web-based tool for reproducible quality control, exploratory data analysis, statistical analysis, and interactive visualization of ‘omics data, based on the functionality of the pmartR R package. The newly improved user interface supports more ‘omics data types, additional statistical capabilities, and enhanced options for creating downloadable graphics. PMart supports the analysis of label-free and isobaric-labeled (e.g., TMT, iTRAQ) proteomics, nuclear magnetic resonance (NMR) and mass-spectrometry (MS)-based metabolomics, MS-based lipidomics, and ribonucleic acid sequencing (RNA-seq) transcriptomics data. At the end of a PMart session, a report is available that summarizes the processing steps performed and includes the pmartR R package functions used to execute the data processing. In addition, built-in safeguards in the backend code prevent users from utilizing methods that are inappropriate based on omics data type. PMart is a user-friendly interface for conducting exploratory data analysis and statistical comparisons of omics data without programming. PMart is a web-based tool for reproducible quality control, exploratory data analysis, statistical analysis, and interactive visualization of 'omics data, based on the functionality of the R package. The newly improved user interface supports more 'omics data types, additional statistical capabilities, and enhanced options for creating downloadable graphics. PMart supports the analysis of label-free and isobaric-labeled (e.g., TMT, iTRAQ) proteomics, nuclear magnetic resonance (NMR) and mass-spectrometry (MS)-based metabolomics, MS-based lipidomics, and ribonucleic acid sequencing (RNA-seq) transcriptomics data. At the end of a PMart session, a report is available that summarizes the processing steps performed and includes the R package functions used to execute the data processing. In addition, built-in safeguards in the backend code prevent users from utilizing methods that are inappropriate based on omics data type. PMart is a user-friendly interface for conducting exploratory data analysis and statistical comparisons of omics data without programming. PMart is a web-based tool for reproducible quality control, exploratory data analysis, statistical analysis, and interactive visualization of 'omics data, based on the functionality of the pmartR R package. The newly improved user interface supports more 'omics data types, additional statistical capabilities, and enhanced options for creating downloadable graphics. PMart supports the analysis of label-free and isobaric-labeled (e.g., TMT, iTRAQ) proteomics, nuclear magnetic resonance (NMR) and mass-spectrometry (MS)-based metabolomics, MS-based lipidomics, and ribonucleic acid sequencing (RNA-seq) transcriptomics data. At the end of a PMart session, a report is available that summarizes the processing steps performed and includes the pmartR R package functions used to execute the data processing. In addition, built-in safeguards in the backend code prevent users from utilizing methods that are inappropriate based on omics data type. PMart is a user-friendly interface for conducting exploratory data analysis and statistical comparisons of omics data without programming.PMart is a web-based tool for reproducible quality control, exploratory data analysis, statistical analysis, and interactive visualization of 'omics data, based on the functionality of the pmartR R package. The newly improved user interface supports more 'omics data types, additional statistical capabilities, and enhanced options for creating downloadable graphics. PMart supports the analysis of label-free and isobaric-labeled (e.g., TMT, iTRAQ) proteomics, nuclear magnetic resonance (NMR) and mass-spectrometry (MS)-based metabolomics, MS-based lipidomics, and ribonucleic acid sequencing (RNA-seq) transcriptomics data. At the end of a PMart session, a report is available that summarizes the processing steps performed and includes the pmartR R package functions used to execute the data processing. In addition, built-in safeguards in the backend code prevent users from utilizing methods that are inappropriate based on omics data type. PMart is a user-friendly interface for conducting exploratory data analysis and statistical comparisons of omics data without programming. |
Author | White, Amanda M. Degnan, David J. Claborne, Daniel M. Bramer, Lisa M. McCue, Lee Ann Webb-Robertson, Bobbie-Jo M. Stratton, Kelly G. Richardson, Rachel E. |
AuthorAffiliation | AI and Data Analytics Division Biological Sciences Division |
AuthorAffiliation_xml | – name: Biological Sciences Division – name: AI and Data Analytics Division |
Author_xml | – sequence: 1 givenname: Kelly G. orcidid: 0000-0002-1721-9688 surname: Stratton fullname: Stratton, Kelly G. organization: Biological Sciences Division – sequence: 2 givenname: Daniel M. orcidid: 0000-0001-5293-3628 surname: Claborne fullname: Claborne, Daniel M. organization: AI and Data Analytics Division – sequence: 3 givenname: David J. orcidid: 0000-0001-5737-7173 surname: Degnan fullname: Degnan, David J. organization: Biological Sciences Division – sequence: 4 givenname: Rachel E. surname: Richardson fullname: Richardson, Rachel E. organization: Biological Sciences Division – sequence: 5 givenname: Amanda M. surname: White fullname: White, Amanda M. organization: AI and Data Analytics Division – sequence: 6 givenname: Lee Ann orcidid: 0000-0003-4456-517X surname: McCue fullname: McCue, Lee Ann organization: Biological Sciences Division – sequence: 7 givenname: Bobbie-Jo M. orcidid: 0000-0002-4744-2397 surname: Webb-Robertson fullname: Webb-Robertson, Bobbie-Jo M. organization: Biological Sciences Division – sequence: 8 givenname: Lisa M. orcidid: 0000-0002-8384-1926 surname: Bramer fullname: Bramer, Lisa M. email: lisa.bramer@pnnl.gov organization: Biological Sciences Division |
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Cites_doi | 10.1021/acs.jproteome.8b00840 10.1021/acs.jproteome.8b00760 10.1186/s13059-019-1861-6 10.1021/ac0262560 10.1002/pmic.201100078 10.1038/s42003-022-03628-x 10.1093/bioinformatics/btm069 10.1093/nar/gkv007 10.1021/acs.jproteome.2c00610 10.1186/s13059-014-0550-8 10.1093/bioinformatics/btp616 10.1093/bioinformatics/btr479 10.1002/pmic.200600422 |
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SubjectTerms | Computational Biology - methods Humans Internet Lipidomics - methods Mass Spectrometry - methods Metabolomics - methods Metabolomics - statistics & numerical data Multiomics Proteomics - methods Proteomics - statistics & numerical data Software User-Computer Interface |
Title | PMart Web Application: Marketplace for Interactive Analysis of Panomics Data |
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