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The Gene-Centric Content Management System and Its Application for Cognitive Proteomics
The Human Proteome Project is moving into the next phase of creating and/or reconsidering the functional annotations of proteins using the chromosome-centric paradigm. This challenge cannot be solved exclusively using automated means, but rather requires human intelligence for interpreting the combi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874771/ https://www.ncbi.nlm.nih.gov/pubmed/29473895 http://dx.doi.org/10.3390/proteomes6010012 |
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author | Poverennaya, Ekaterina V. Shargunov, Alexander V. Ponomarenko, Elena A. Lisitsa, Andrey V. |
author_facet | Poverennaya, Ekaterina V. Shargunov, Alexander V. Ponomarenko, Elena A. Lisitsa, Andrey V. |
author_sort | Poverennaya, Ekaterina V. |
collection | PubMed |
description | The Human Proteome Project is moving into the next phase of creating and/or reconsidering the functional annotations of proteins using the chromosome-centric paradigm. This challenge cannot be solved exclusively using automated means, but rather requires human intelligence for interpreting the combined data. To foster the integration between human cognition and post-genome array a number of specific tools were recently developed, among them CAPER, GenomewidePDB, and The Proteome Browser (TPB). For the purpose of tackling the task of protein functional annotating the Gene-Centric Content Management System (GenoCMS) was expanded with new features. The goal was to enable bioinformaticans to develop self-made applications and to position these applets within the generalized informational canvas supported by GenoCMS. We report the results of GenoCMS-enabled integration of the concordant informational flows in the chromosome-centric framework of the human chromosome 18 project. The workflow described in the article can be scaled to other human chromosomes, and also supplemented with new tracks created by the user. The GenoCMS is an example of a project-oriented informational system, which are important for public data sharing. |
format | Online Article Text |
id | pubmed-5874771 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-58747712018-04-02 The Gene-Centric Content Management System and Its Application for Cognitive Proteomics Poverennaya, Ekaterina V. Shargunov, Alexander V. Ponomarenko, Elena A. Lisitsa, Andrey V. Proteomes Article The Human Proteome Project is moving into the next phase of creating and/or reconsidering the functional annotations of proteins using the chromosome-centric paradigm. This challenge cannot be solved exclusively using automated means, but rather requires human intelligence for interpreting the combined data. To foster the integration between human cognition and post-genome array a number of specific tools were recently developed, among them CAPER, GenomewidePDB, and The Proteome Browser (TPB). For the purpose of tackling the task of protein functional annotating the Gene-Centric Content Management System (GenoCMS) was expanded with new features. The goal was to enable bioinformaticans to develop self-made applications and to position these applets within the generalized informational canvas supported by GenoCMS. We report the results of GenoCMS-enabled integration of the concordant informational flows in the chromosome-centric framework of the human chromosome 18 project. The workflow described in the article can be scaled to other human chromosomes, and also supplemented with new tracks created by the user. The GenoCMS is an example of a project-oriented informational system, which are important for public data sharing. MDPI 2018-02-23 /pmc/articles/PMC5874771/ /pubmed/29473895 http://dx.doi.org/10.3390/proteomes6010012 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Poverennaya, Ekaterina V. Shargunov, Alexander V. Ponomarenko, Elena A. Lisitsa, Andrey V. The Gene-Centric Content Management System and Its Application for Cognitive Proteomics |
title | The Gene-Centric Content Management System and Its Application for Cognitive Proteomics |
title_full | The Gene-Centric Content Management System and Its Application for Cognitive Proteomics |
title_fullStr | The Gene-Centric Content Management System and Its Application for Cognitive Proteomics |
title_full_unstemmed | The Gene-Centric Content Management System and Its Application for Cognitive Proteomics |
title_short | The Gene-Centric Content Management System and Its Application for Cognitive Proteomics |
title_sort | gene-centric content management system and its application for cognitive proteomics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874771/ https://www.ncbi.nlm.nih.gov/pubmed/29473895 http://dx.doi.org/10.3390/proteomes6010012 |
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