Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1093/bioinformatics/btw221 http://scihub22266oqcxt.onion/10.1093/bioinformatics/btw221 C4937202!4937202!27153657     free     free     free       Bioinformatics 2016 ; 32 (14): 2151-8 Nephropedia Template TP {{tp|p=27153657|t=2016. Spectral identification of topological domains |pdf=|usr=}}{{27153657}} gab.com Text Spectral identification of topological domains JO: Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=27153657 #FOAvip Motivation: Topological domains have been proposed as the backbone of interphase chromosome structure. They are regions of high local contact frequency separated by sharp boundaries. Genes within a domain often have correlated transcription. In this paper, we present a computational efficient spectral algorithm to identify topological domains from chromosome conformation data (Hi-C data). We consider the genome as a weighted graph with vertices defined by loci on a chromosome and the edge weights given by interaction frequency between two loci. Laplacian-based graph segmentation is then applied iteratively to obtain the domains at the given compactness level. Comparison with algorithms in the literature shows the advantage of the proposed strategy.Results: An efficient algorithm is presented to identify topological domains from the Hi-C matrix.Availability and Implementation: The Matlab source code and illustrative examples are available at http://bionetworks.ccmb.med.umich.edu/Contact: indikar@med.umich.eduSupplementary information:Supplementary data are available at Bioinformatics online. Twit Text FOAVip Spectral identification of topological domains ????Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=27153657 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27153657 #FOAvip English Wikipedia <ref>{{Cite pmid|27153657}}</ref> Spectral identification of topological domains #MMPMID27153657 Chen J; Hero AO; Rajapakse I Bioinformatics 2016[Jul]; 32 (14): 2151-8 PMID27153657show ga Motivation: Topological domains have been proposed as the backbone of interphase chromosome structure. They are regions of high local contact frequency separated by sharp boundaries. Genes within a domain often have correlated transcription. In this paper, we present a computational efficient spectral algorithm to identify topological domains from chromosome conformation data (Hi-C data). We consider the genome as a weighted graph with vertices defined by loci on a chromosome and the edge weights given by interaction frequency between two loci. Laplacian-based graph segmentation is then applied iteratively to obtain the domains at the given compactness level. Comparison with algorithms in the literature shows the advantage of the proposed strategy.Results: An efficient algorithm is presented to identify topological domains from the Hi-C matrix.Availability and Implementation: The Matlab source code and illustrative examples are available at http://bionetworks.ccmb.med.umich.edu/Contact: indikar@med.umich.eduSupplementary information:Supplementary data are available at Bioinformatics online. äSpectral identification of topological domains (epmc).pdf DeepDyve Pubget Overpricing