Topological structure analysis of chromatin interaction networks

被引:0
作者
Juris Viksna
Gatis Melkus
Edgars Celms
Kārlis Čerāns
Karlis Freivalds
Paulis Kikusts
Lelde Lace
Mārtiņš Opmanis
Darta Rituma
Peteris Rucevskis
机构
[1] Institute of Mathematics and Computer Science,
[2] University of Latvia,undefined
[3] Faculty of Computing,undefined
[4] University of Latvia,undefined
来源
BMC Bioinformatics | / 20卷
关键词
Chromatin interaction networks; Graph topology; Cell type specificity; Functionally related modules;
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[1]  
Mora A(2016)In the loop: promoter-enhancer interactions and bioinformatics Brief Bioinform 17 980-95
[2]  
Sandve GK(2015)Minor loops in major folds: Enhancer-promoter looping, chromatin restructuring, and their association with transcriptional regulation and disease PLoS Genet 11 1-14
[3]  
Matharu N(2014)Transcriptional enhancers: from properties to genome-wide predictions Nat Rev Genet 15 272-86
[4]  
Ahituv N(2002)Capturing chromosome conformation Science 295 1306-11
[5]  
Shlyueva D(2009)Comprehensive mapping of long-range interactions reveals folding principles of the human genome Science 326 289-93
[6]  
Stampfel G(2016)Genome-wide mapping and analysis of chromosome architecture Nat Rev Mol Cell Biol 17 743-55
[7]  
Stark A(2017)Hi-C 2.0: An optimized hi-c procedure for high-resolution genome-wide mapping of chromosome conformation Methods 123 56-65
[8]  
Dekker J(2017)Three-dimensional genome architecture and emerging technologies: Looping in disease Genome Med 9 1-14
[9]  
Rippe K(2014)A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping Cell 159 1665-80
[10]  
Lieberman-Aiden E(2014)Unbiased analysis of potential targets of breast cancer susceptibility loci by capture Hi-C Genome Res 24 1854-68