CMOS scaling enabled simultaneous system throughput scaling by concurrent delay, power, and area shrinks with thanks to Moore's law. System scaling is getting more difficult with the limitations in interconnect and bandwidth per power as well as the difficulties and cost of monolithic integration. This requires a holistic approach for an optimal balance of performance and power under the limits of technology. This paper covers a portfolio of More Moore technologies for power-aware device enabling value proposition for system scaling - where requirements and gaps will be addressed in the ITRS2.0 roadmap.

SUMMARY: Chromatin immunoprecipitation combined with DNA microarrays (ChIP-chip) has evolved as a popular technique to study DNA-protein binding or post-translational chromatin/histone modifications at the genomic level. However, the raw microarray intensities generate a massive amount of data, creating a need for efficient analysis algorithms and statistical methods to identify enriched regions. RESULTS: We present a fast, free and powerful, open source R package, rMAT, that allows the identification of regions enriched for transcription factor binding sites in ChIP-chip experiments on Affymetrix tiling arrays. AVAILABILITY: The R-package rMAT is available from the Bioconductor web site at http://bioconductor.org and runs on Linux, MAC OS and MS-Windows. rMAT is distributed under the terms of the Artistic Licence 2.0.