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A graphical user interface for RAId, a knowledge integrated proteomics analysis suite with accurate statistics
OBJECTIVE: RAId is a software package that has been actively developed for the past 10 years for computationally and visually analyzing MS/MS data. Founded on rigorous statistical methods, RAId’s core program computes accurate E-values for peptides and proteins identified during database searches. M...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5856202/ https://www.ncbi.nlm.nih.gov/pubmed/29544540 http://dx.doi.org/10.1186/s13104-018-3289-6 |
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author | Joyce, Brendan Lee, Danny Rubio, Alex Ogurtsov, Aleksey Alves, Gelio Yu, Yi-Kuo |
author_facet | Joyce, Brendan Lee, Danny Rubio, Alex Ogurtsov, Aleksey Alves, Gelio Yu, Yi-Kuo |
author_sort | Joyce, Brendan |
collection | PubMed |
description | OBJECTIVE: RAId is a software package that has been actively developed for the past 10 years for computationally and visually analyzing MS/MS data. Founded on rigorous statistical methods, RAId’s core program computes accurate E-values for peptides and proteins identified during database searches. Making this robust tool readily accessible for the proteomics community by developing a graphical user interface (GUI) is our main goal here. RESULTS: We have constructed a graphical user interface to facilitate the use of RAId on users’ local machines. Written in Java, RAId_GUI not only makes easy executions of RAId but also provides tools for data/spectra visualization, MS-product analysis, molecular isotopic distribution analysis, and graphing the retrieval versus the proportion of false discoveries. The results viewer displays and allows the users to download the analyses results. Both the knowledge-integrated organismal databases and the code package (containing source code, the graphical user interface, and a user manual) are available for download at https://www.ncbi.nlm.nih.gov/CBBresearch/Yu/downloads/raid.html. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13104-018-3289-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5856202 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58562022018-03-22 A graphical user interface for RAId, a knowledge integrated proteomics analysis suite with accurate statistics Joyce, Brendan Lee, Danny Rubio, Alex Ogurtsov, Aleksey Alves, Gelio Yu, Yi-Kuo BMC Res Notes Research Note OBJECTIVE: RAId is a software package that has been actively developed for the past 10 years for computationally and visually analyzing MS/MS data. Founded on rigorous statistical methods, RAId’s core program computes accurate E-values for peptides and proteins identified during database searches. Making this robust tool readily accessible for the proteomics community by developing a graphical user interface (GUI) is our main goal here. RESULTS: We have constructed a graphical user interface to facilitate the use of RAId on users’ local machines. Written in Java, RAId_GUI not only makes easy executions of RAId but also provides tools for data/spectra visualization, MS-product analysis, molecular isotopic distribution analysis, and graphing the retrieval versus the proportion of false discoveries. The results viewer displays and allows the users to download the analyses results. Both the knowledge-integrated organismal databases and the code package (containing source code, the graphical user interface, and a user manual) are available for download at https://www.ncbi.nlm.nih.gov/CBBresearch/Yu/downloads/raid.html. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13104-018-3289-6) contains supplementary material, which is available to authorized users. BioMed Central 2018-03-15 /pmc/articles/PMC5856202/ /pubmed/29544540 http://dx.doi.org/10.1186/s13104-018-3289-6 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Note Joyce, Brendan Lee, Danny Rubio, Alex Ogurtsov, Aleksey Alves, Gelio Yu, Yi-Kuo A graphical user interface for RAId, a knowledge integrated proteomics analysis suite with accurate statistics |
title | A graphical user interface for RAId, a knowledge integrated proteomics analysis suite with accurate statistics |
title_full | A graphical user interface for RAId, a knowledge integrated proteomics analysis suite with accurate statistics |
title_fullStr | A graphical user interface for RAId, a knowledge integrated proteomics analysis suite with accurate statistics |
title_full_unstemmed | A graphical user interface for RAId, a knowledge integrated proteomics analysis suite with accurate statistics |
title_short | A graphical user interface for RAId, a knowledge integrated proteomics analysis suite with accurate statistics |
title_sort | graphical user interface for raid, a knowledge integrated proteomics analysis suite with accurate statistics |
topic | Research Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5856202/ https://www.ncbi.nlm.nih.gov/pubmed/29544540 http://dx.doi.org/10.1186/s13104-018-3289-6 |
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