[Biomedical-cybernetics] [sysbio] NPJ Syst Biol App: new article category "Technology Feature"

[Nicolas Le Novere]

"npj Systems Biology and Applications" is pleased to announce a new  
article category "Technology Feature" that focuses on technological  
breakthrough, software, data and others resources that pushes horizon  
of systems biology research. In-depth high quality papers on software,  
algorithms, data-bases, interaction maps, and other resources are  
highly welcomed. We hope "npj Systems Biology and Applications" to  
serve as a high profile venue for technological innovations, community  
resources, and more.

from Guide to Authors:
Article Type: Technology Feature (report on Software and Resources)
  A review paper on the software, data or knowledge resources that  
were newly designed, developed and utilized in the systems biology  
research should be submitted as Technology Feature. “Resources” refers  
to interaction maps, databases, models, and format standards that are  
essential in systems biology research.

Abstract:
Unstructured abstract Max word limit: 250

Word Limit:
5,000 words max excluding abstract, references, figures and tables.

Table/Figures:
Max of 8

References:
Max of 100

About “npj Systems Biology and Applications”
npj Systems Biology and Applications is an online Open Access journal  
dedicated to publishing the premier research that takes a systems- 
oriented approach. The journal aims to provide a forum for the  
presentation of articles that help define this nascent field, as well  
as those that apply the advances to wider fields. We encourage studies  
that integrate, or aid the integration of, data, analyses and insight  
from molecules to organisms and broader systems. Important areas of  
interest include not only fundamental biological systems and drug  
discovery, but also applications to health, medical practice and  
implementation, big data, biotechnology, food science, human  
behaviour, broader biological systems and industrial applications of  
systems biology. We encourage all approaches, including network  
biology, application of control theory to biological systems,  
computational modelling and analysis, comprehensive and/or high- 
content measurements, theoretical, analytical and computation
al studie
s of system-level properties of biological systems and computational/ 
software/data platforms enabling such studies.

npj Systems Biology and Applications is a part of the Nature Partner  
Journals series and is co-owned by Nature Publishing Group and the  
Systems Biology Institute.

Editor in Chief: Hiroaki Kitano The Systems Biology Institute

npj Systems Biology and Applications:  http://www.nature.com/npjsba/
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