interspecies comparison
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2020 ◽  
Vol 91 (12) ◽  
pp. 1653-1663 ◽  
Author(s):  
Jie Pan ◽  
Igor Pilawski ◽  
Xue Yuan ◽  
Masaki Arioka ◽  
Pavla Ticha ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Ivan D. Tarandovskiy ◽  
Hye Kyung H. Shin ◽  
Jin Hyen Baek ◽  
Elena Karnaukhova ◽  
Paul W. Buehler

PROTEOMICS ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 1900064 ◽  
Author(s):  
Dominik Wüllner ◽  
Annika Haupt ◽  
Pascal Prochnow ◽  
Roman Leontiev ◽  
Alan J. Slusarenko ◽  
...  

2019 ◽  
Vol 33 (8) ◽  
pp. 9422-9433 ◽  
Author(s):  
Shimpei Takita ◽  
Kiyoko Miyamoto‐Matsui ◽  
Yuko Seko

2019 ◽  
Vol 35 (23) ◽  
pp. 4912-4921 ◽  
Author(s):  
M Nuriddinov ◽  
V Fishman

Abstract Motivation Recent development of Hi-C technique, a biochemical method to study 3D genome architecture, provided large amount of information describing spatial organization of chromosomes in different cell types and species. While multiple tools are available for analysis and comparison of Hi-C data of different cell types, there are almost no resources for systematic interspecies comparison. Results To fill this gap, we developed C-InterSecture, a computational pipeline allowing systematic comparison of genome architecture between species. C-InterSecture allows statistical comparison of contact frequencies of individual pairs of loci, as well as interspecies comparison of contacts pattern within defined genomic regions, i.e. topologically associated domains. We employed C-InterSecture to compare mammalian and avian genome organization and showed how evolutionary changes of genomic distance affect 3D architecture of vertebrate’s genome. Availability and implementation C-InterSecture is implemented as a collection of python scripts freely available on GitHub repository at https://github.com/NuriddinovMA/C-InterSecture. Jucebox-compatible .hic files produced by C-InterSecture are available at http://genedev.bionet.nsc.ru/site/CIntersecture.html. Supplementary information Supplementary data are available at Bioinformatics online.


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