Gene portals have become essential resources for modern biological research. Technologies for high-throughput experimentation are now commonly used in biomedical research, and scientists are often faced with evaluating many candidate genes which are unfamiliar to them. These researchers often turn to gene portals to quickly summarize and curate known gene annotation for their genes of interest from public databases, enabling them to quickly evaluate genes and formulate hypotheses for follow-up testing. Despite their current utility, there are also many opportunities to improve gene portals to better serve the scientific community. Here, we propose the construction of a new gene portal called BioGPS (Biology Gene Portal Services) which is based on recent concepts in web design and online collaboration. These principles, commonly referred to by the moniker """"""""Web 2.0"""""""", were largely defined based on an analysis of successful web sites, including Wikipedia, Google, and Amazon. In the context of BioGPS, this proposal focuses on two key elements of Web 2.0. First, BioGPS will place heavy emphasis on maximizing usability. Development of BioGPS will draw on concepts and techniques from the discipline of computer science called Human Computer Interactions (HCI). These efforts will include continual usability testing, and utilizing techniques to maximize user interactivity. Second, BioGPS will also emphasize the concept of extensibility. Rather than develop a web site with a small community of web users, we will design a web platform that serves both the needs of web users and of bioinformatics scientists. Extensibility also applies to many different domain areas with BioGPS. BioGPS will be extensible in terms of data, allowing scientists to customize and contribute their own data sets to the gene portal. BioGPS will also be extensible in terms of knowledge, enabling scientists to collaborative share and edit free-text gene annotation through a gene wiki system. And finally, BioGPS will be extensible in terms of application development, allowing other bioinformatics programmers to extend functionality and link other bioinformatics analysis tools. In summary, the BioGPS gene portal will provide a platform for networks of users to synergistically leverage community knowledge and effort, allowing researchers across biological disciplines to efficiently translate high-throughput data to testable hypotheses. The development of the BioGPS gene portal will allow communities of biological researchers to effectively share knowledge and effort devoted to gene annotation. Generating a detailed and rich view of the function of every gene in the human genome will benefit our understanding of basic biological mechanisms, as well as the role of individual genes in human health.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM083924-02
Application #
7660469
Study Section
Biodata Management and Analysis Study Section (BDMA)
Program Officer
Remington, Karin A
Project Start
2008-08-01
Project End
2013-07-31
Budget Start
2009-08-01
Budget End
2010-07-31
Support Year
2
Fiscal Year
2009
Total Cost
$318,000
Indirect Cost
Name
Novartis Institute for Functional Genomics
Department
Type
DUNS #
125723184
City
San Diego
State
CA
Country
United States
Zip Code
92121
Putman, Tim E; Burgstaller-Muehlbacher, Sebastian; Waagmeester, Andra et al. (2016) Centralizing content and distributing labor: a community model for curating the very long tail of microbial genomes. Database (Oxford) 2016:
Xin, Jiwen; Mark, Adam; Afrasiabi, Cyrus et al. (2016) High-performance web services for querying gene and variant annotation. Genome Biol 17:91
Wu, Chunlei; Jin, Xuefeng; Tsueng, Ginger et al. (2016) BioGPS: building your own mash-up of gene annotations and expression profiles. Nucleic Acids Res 44:D313-6
Nicolas, Emmanuelle; Golemis, Erica A; Arora, Sanjeevani (2016) POLD1: Central mediator of DNA replication and repair, and implication in cancer and other pathologies. Gene 590:128-41
Burgstaller-Muehlbacher, Sebastian; Waagmeester, Andra; Mitraka, Elvira et al. (2016) Wikidata as a semantic framework for the Gene Wiki initiative. Database (Oxford) 2016:
Khare, Ritu; Good, Benjamin M; Leaman, Robert et al. (2016) Crowdsourcing in biomedicine: challenges and opportunities. Brief Bioinform 17:23-32
Song, Wei; Wang, Hao; Wu, Qingyu (2015) Atrial natriuretic peptide in cardiovascular biology and disease (NPPA). Gene 569:1-6
Zuehlke, Abbey D; Beebe, Kristin; Neckers, Len et al. (2015) Regulation and function of the human HSP90AA1 gene. Gene 570:8-16
Deneka, Alexander; Korobeynikov, Vladislav; Golemis, Erica A (2015) Embryonal Fyn-associated substrate (EFS) and CASS4: The lesser-known CAS protein family members. Gene 570:25-35
Dörfel, Max J; Lyon, Gholson J (2015) The biological functions of Naa10 - From amino-terminal acetylation to human disease. Gene 567:103-31

Showing the most recent 10 out of 26 publications