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Systems models of the ways transcription factor networks operate and evolve are essential for understanding cell identity, developmental commitment and regulatory variation. Terminologies from different techniques and disciplines may need to be adapted or put aside to make and test these models effectively.
We invite proposals by 1 March for pan-cancer analyses from public data sets to be submitted by the end of 2015. We will coordinate expressions of interest from the Nature family of journals and index the resulting publications prominently in a web focus and special issue of the journal.
We wholeheartedly endorse this new journal concentrating on variants causing and associated with disease and trait phenotypes, especially the Data Report format for rapid publication and the database dissemination of the full spectrum of findings from a single familial variant to a comprehensive locus review.