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10.1093/gigascience/gix032 http://scihub22266oqcxt.onion/10.1093/gigascience/gix032 C5493745!5493745!28459977     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Gigascience 2017 ; 6 (7): 1-12 Nephropedia Template TP {{tp|p=28459977|t=2017. GSuite HyperBrowser: integrative analysis of dataset collections across the genome and epigenome |pdf=|usr=}}{{28459977}} gab.com Text GSuite HyperBrowser: integrative analysis of dataset collections across the genome and epigenome JO: Gigascience http://www.kidney.de/pget.php?&tw=1&pmid=28459977 #FOAvip Background:: Recent large-scale undertakings such as ENCODE and Roadmap Epigenomics have generated experimental data mapped to the human reference genome (as genomic tracks) representing a variety of functional elements across a large number of cell types. Despite the high potential value of these publicly available data for a broad variety of investigations, little attention has been given to the analytical methodology necessary for their widespread utilisation. Findings:: We here present a first principled treatment of the analysis of collections of genomic tracks. We have developed novel computational and statistical methodology to permit comparative and confirmatory analyses across multiple and disparate data sources. We delineate a set of generic questions that are useful across a broad range of investigations and discuss the implications of choosing different statistical measures and null models. Examples include contrasting analyses across different tissues or diseases. The methodology has been implemented in a comprehensive open-source software system, the GSuite HyperBrowser. To make the functionality accessible to biologists, and to facilitate reproducible analysis, we have also developed a web-based interface providing an expertly guided and customizable way of utilizing the methodology. With this system, many novel biological questions can flexibly be posed and rapidly answered. Conclusions:: Through a combination of streamlined data acquisition, interoperable representation of dataset collections, and customizable statistical analysis with guided setup and interpretation, the GSuite HyperBrowser represents a first comprehensive solution for integrative analysis of track collections across the genome and epigenome. The software is available at: https://hyperbrowser.uio.no. Twit Text FOAVip GSuite HyperBrowser: integrative analysis of dataset collections across the genome and epigenome ????Gigascience http://www.kidney.de/pget.php?&tw=1&pmid=28459977 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28459977 #FOAvip English Wikipedia <ref>{{Cite pmid|28459977}}</ref> GSuite HyperBrowser: integrative analysis of dataset collections across the genome and epigenome #MMPMID28459977 Simovski B; Vodák D; Gundersen S; Domanska D; Azab A; Holden L; Holden M; Grytten I; Rand K; Drabløs F; Johansen M; Mora A; Lund-Andersen C; Fromm B; Eskeland R; Gabrielsen OS; Ferkingstad E; Nakken S; Bengtsen M; Nederbragt AJ; Thorarensen HS; Akse JA; Glad I; Hovig E; Sandve GK Gigascience 2017[Jul]; 6 (7): 1-12 PMID28459977show ga Background:: Recent large-scale undertakings such as ENCODE and Roadmap Epigenomics have generated experimental data mapped to the human reference genome (as genomic tracks) representing a variety of functional elements across a large number of cell types. Despite the high potential value of these publicly available data for a broad variety of investigations, little attention has been given to the analytical methodology necessary for their widespread utilisation. Findings:: We here present a first principled treatment of the analysis of collections of genomic tracks. We have developed novel computational and statistical methodology to permit comparative and confirmatory analyses across multiple and disparate data sources. We delineate a set of generic questions that are useful across a broad range of investigations and discuss the implications of choosing different statistical measures and null models. Examples include contrasting analyses across different tissues or diseases. The methodology has been implemented in a comprehensive open-source software system, the GSuite HyperBrowser. To make the functionality accessible to biologists, and to facilitate reproducible analysis, we have also developed a web-based interface providing an expertly guided and customizable way of utilizing the methodology. With this system, many novel biological questions can flexibly be posed and rapidly answered. Conclusions:: Through a combination of streamlined data acquisition, interoperable representation of dataset collections, and customizable statistical analysis with guided setup and interpretation, the GSuite HyperBrowser represents a first comprehensive solution for integrative analysis of track collections across the genome and epigenome. The software is available at: https://hyperbrowser.uio.no. äGSuite HyperBrowser: integrative analysis of dataset collections acros(epmc).pdf DeepDyve Pubget Overpricing