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10.1093/bioinformatics/bty265 http://scihub22266oqcxt.onion/10.1093/bioinformatics/bty265 C6022623!6022623!29949963     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Bioinformatics 2018 ; 34 (13): i475-83 Nephropedia Template TP {{tp|p=29949963|t=2018. Quantifying the similarity of topological domains across normal and cancer human cell types |pdf=|usr=}}{{29949963}} gab.com Text Quantifying the similarity of topological domains across normal and cancer human cell types JO: Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=29949963 #FOAvip Motivation: Three-dimensional chromosome structure has been increasingly shown to influence various levels of cellular and genomic functions. Through Hi-C data, which maps contact frequency on chromosomes, it has been found that structural elements termed topologically associating domains (TADs) are involved in many regulatory mechanisms. However, we have little understanding of the level of similarity or variability of chromosome structure across cell types and disease states. In this study, we present a method to quantify resemblance and identify structurally similar regions between any two sets of TADs. Results: We present an analysis of 23 human Hi-C samples representing various tissue types in normal and cancer cell lines. We quantify global and chromosome-level structural similarity, and compare the relative similarity between cancer and non-cancer cells. We find that cancer cells show higher structural variability around commonly mutated pan-cancer genes than normal cells at these same locations. Availability and implementation: Software for the methods and analysis can be found at https://github.com/Kingsford-Group/localtadsim Twit Text FOAVip Quantifying the similarity of topological domains across normal and cancer human cell types ????Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=29949963 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29949963 #FOAvip English Wikipedia <ref>{{Cite pmid|29949963}}</ref> Quantifying the similarity of topological domains across normal and cancer human cell types #MMPMID29949963 Sauerwald N; Kingsford C Bioinformatics 2018[Jul]; 34 (13): i475-83 PMID29949963show ga Motivation: Three-dimensional chromosome structure has been increasingly shown to influence various levels of cellular and genomic functions. Through Hi-C data, which maps contact frequency on chromosomes, it has been found that structural elements termed topologically associating domains (TADs) are involved in many regulatory mechanisms. However, we have little understanding of the level of similarity or variability of chromosome structure across cell types and disease states. In this study, we present a method to quantify resemblance and identify structurally similar regions between any two sets of TADs. Results: We present an analysis of 23 human Hi-C samples representing various tissue types in normal and cancer cell lines. We quantify global and chromosome-level structural similarity, and compare the relative similarity between cancer and non-cancer cells. We find that cancer cells show higher structural variability around commonly mutated pan-cancer genes than normal cells at these same locations. Availability and implementation: Software for the methods and analysis can be found at https://github.com/Kingsford-Group/localtadsim äQuantifying the similarity of topological domains across normal and ca(epmc).pdf DeepDyve Pubget Overpricing