ChIPMonk: software for viewing and analysing ChIP-on-chip data
نویسندگان
چکیده
منابع مشابه
An integrated software system for analyzing ChIP - chip and ChIP - seq data ( Supplementary Information )
ChIP-chip and ChIP-seq are powerful technologies to study transcriptional regulation in complex genomes, however, mining information from the huge datasets generated by these highthroughput technologies remains to be a non-trivial task. To analyze a ChIP-chip experiment, one usually starts with data exploration and then goes through normalization, binding region detection, adding gene annotatio...
متن کاملBayesPeak—an R package for analysing ChIP-seq data
MOTIVATION Identification of genomic regions of interest in ChIP-seq data, commonly referred to as peak-calling, aims to find the locations of transcription factor binding sites, modified histones or nucleosomes. The BayesPeak algorithm was developed to model the data structure using Bayesian statistical techniques and was shown to be a reliable method, but did not have a full-genome implementa...
متن کاملReliability and Performance Evaluation of Fault-aware Routing Methods for Network-on-Chip Architectures (RESEARCH NOTE)
Nowadays, faults and failures are increasing especially in complex systems such as Network-on-Chip (NoC) based Systems-on-a-Chip due to the increasing susceptibility and decreasing feature sizes. On the other hand, fault-tolerant routing algorithms have an evident effect on tolerating permanent faults and improving the reliability of a Network-on-Chip based system. This paper presents reliabili...
متن کاملChip-to-Chip and On-Chip Communications
In high-performance integrated circuits manufactured in CMOS deep sub-micron technology, the speed of global information exchange on the chip has developed into a bottleneck, that limits the effective information processing speed. This is caused by standard on-chip communication based on multi-conductor interconnects, e.g., implemented as parallel interconnect buses. The supported clock frequen...
متن کاملOn-Chip Data Communication
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ژورنال
عنوان ژورنال: BMC Systems Biology
سال: 2007
ISSN: 1752-0509
DOI: 10.1186/1752-0509-1-s1-p80