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Special Call for Papers
Physiological Genomics

Computational Modeling of Physiological Systems

Comparative Genomics

 


Topic: Computational Modeling of Physiological Systems

Physiological Genomics is soliciting original research papers in the area of computational modeling of physiological systems. It is acknowledged that in the coming years, computational modeling and analysis will play a critical role in deciphering large-scale data and developing a systems understanding of biological systems. In particular, the journal is interested in studies that use computational analyses in the context of gene function in physiological systems.

 

Topic: Comparative Genomics

Physiological Genomics seeks original research articles, reviews (mini- or full-length), and editorials in the field of comparative genomics. Research in this field is changing dramatically due to the large amount of sequence being generated from a number of key organisms and the likelihood that many additional species will be sequenced in the future. Papers may detail genetic comparisons across species to identify gene structure, predict the physiological function of genes, and elucidate evolutionary relationships. Papers may also describe comparative approaches to structural genomics or research strategies that can be used to facilitate sequencing in other closely related species. Other appropriate topics include studies in comparative physiology that take advantage of commonalities between particular organisms at the genomic level, pharmacogenomics, proteomics, bioinformatics/computational biology, and translational research. Submissions in this area will be published, if they are accepted pending peer review, under a special banner in the online and print versions of the journal. When corresponding authors submit their manuscript online, they should indicate their response to this call for papers in an accompanying cover letter and designate their specific Manuscript Type as "Special Call for Papers." For any specific queries please contact the Editor-in-Chief, Allen W. Cowley, Jr. (E-mail: pgeditor@mcw.edu).