A co-localization model of paired ChIP-seq data using a large ENCODE data set enables comparison of multiple samples.

Deep sequencing approaches, such as chromatin immunoprecipitation by sequencing (ChIP-seq), have been successful in detecting transcription factor-binding sites and histone modification in the whole genome. An approach for comparing two different ChIP-seq data would be beneficial for predicting unknown functions of a factor. We propose a model to represent co-localization of two different ChIP-seq data.

Implementation of the fifth link of the chain of survival concept for out-of-hospital cardiac arrest.

Background: The American Heart Association 2010 resuscitation guidelines recommended adding a fifth link (multidisciplinary postresuscitation care in a regional center) to the previous 4 in the chain of survival concept for out-of-hospital cardiac arrest. Our study aimed to determine the effectiveness of this fifth link.

Methods And Results: This multicenter prospective cohort study involved all eligible out-of-hospital cardiac arrest patients in the Aizu region (n=1482, suburban/rural, Fukushima, Japan).