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The Gene-Centric Content Management System and Its Application for Cognitive Proteomics
- Source :
- Proteomes; Volume 6; Issue 1; Pages: 12, Proteomes, Vol 6, Iss 1, p 12 (2018), Proteomes
- Publication Year :
- 2018
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2018.
-
Abstract
- 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.
- Subjects :
- 0301 basic medicine
Computer science
Clinical Biochemistry
data-enabled science
lcsh:QR1-502
integrative biology
Omics science
Biochemistry
knowledge base
Human Proteome Project
chromosome 18
Article
lcsh:Microbiology
Task (project management)
03 medical and health sciences
Structural Biology
Human–computer interaction
Human proteome project
Molecular Biology
business.industry
Human intelligence
Cognition
Data sharing
030104 developmental biology
Workflow
Knowledge base
Proteome
business
Subjects
Details
- Language :
- English
- ISSN :
- 22277382
- Database :
- OpenAIRE
- Journal :
- Proteomes; Volume 6; Issue 1; Pages: 12
- Accession number :
- edsair.doi.dedup.....3e4b2b8a82ab30e26a4505ab1f0a6ebd
- Full Text :
- https://doi.org/10.3390/proteomes6010012