scholarly journals Incorporating Community Annotation Interfaces into the CIPRO2.5 Database with Comprehensible Sketches to Support Quick Annotations of Proteome Data.

2010 ◽  
Author(s):  
Keisuke Ueno ◽  
Kouki Yonezawa ◽  
Katsuhiko Mineta ◽  
Toshinori Endo
Keyword(s):  
2010 ◽  
Vol 5 (1) ◽  
pp. 12 ◽  
Author(s):  
Raja Mazumder ◽  
Darren A Natale ◽  
Jessica Julio ◽  
Lai-Su Yeh ◽  
Cathy H Wu
Keyword(s):  

BMC Genomics ◽  
2016 ◽  
Vol 17 (1) ◽  
Author(s):  
I-Min A. Chen ◽  
Victor M. Markowitz ◽  
Krishna Palaniappan ◽  
Ernest Szeto ◽  
Ken Chu ◽  
...  

2012 ◽  
Vol 9 (11) ◽  
pp. 1041-1041 ◽  
Author(s):  
Lieven Sterck ◽  
Kenny Billiau ◽  
Thomas Abeel ◽  
Pierre Rouzé ◽  
Yves Van de Peer

2019 ◽  
Vol 4 ◽  
pp. 114
Author(s):  
Magnus Manske ◽  
Ulrike Böhme ◽  
Christoph Püthe ◽  
Matt Berriman

Publishing authoritative genomic annotation data, keeping it up to date, linking it to related information, and allowing community annotation is difficult and hard to support with limited resources. Here, we show how importing GeneDB annotation data into Wikidata allows for leveraging existing resources, integrating volunteer and scientific communities, and enriching the original information.


2013 ◽  
Vol 7 (1) ◽  
pp. 9-18 ◽  
Author(s):  
Atin Basuchoudhary ◽  
Vahan Simoyan ◽  
Raja Mazumder

We investigate why biologists fail to contribute to biological databases although almost all of them use these databases for research. We find, using evolutionary game theory and computer simulations, that (a) the initial distribution of contributors who are patient determines whether a culture of contribution will prevail or not (b) institutions (where institution means “a significant practice, relationship, or organization in a society or culture”) that incentivize patience and therefore limit free riding make contribution more likely and, (c) a stable institution, whether it incentivizes patience or not, will increase contribution. As a result we suggest there is a trade-off between the benefits of changing institutions to incentivize patience and the costs of the change itself. Moreover, even if it is possible to create institutions that incentivize patience among scientists such institutions may nevertheless fail. We create a computer simulation of a population of biologists based on our theory. These simulations suggest that institutions should focus more on rewards rather than penalties to incentivize a culture of contribution. Our approach therefore provides a methodology for developing a practical blueprint for organizing scientists to encourage cooperation and maximizing scientific output.


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