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10.1186/s13040-016-0099-z http://scihub22266oqcxt.onion/10.1186/s13040-016-0099-z C4875694!4875694!27213017     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=27213017&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       BioData+Min 2016 ; 9 (ä): ä Nephropedia Template TP {{tp|p=27213017|t=2016. SePIA: RNA and small RNA sequence processing, integration, and analysis |pdf=|usr=}}{{27213017}} gab.com Text SePIA: RNA and small RNA sequence processing, integration, and analysis JO: BioData Min http://www.kidney.de/pget.php?&tw=1&pmid=27213017 #FOAvip Background: Large-scale sequencing experiments are complex and require a wide spectrum of computational tools to extract and interpret relevant biological information. This is especially true in projects where individual processing and integrated analysis of both small RNA and complementary RNA data is needed. Such studies would benefit from a computational workflow that is easy to implement and standardizes the processing and analysis of both sequenced data types. Results: We developed SePIA (Sequence Processing, Integration, and Analysis), a comprehensive small RNA and RNA workflow. It provides ready execution for over 20 commonly known RNA-seq tools on top of an established workflow engine and provides dynamic pipeline architecture to manage, individually analyze, and integrate both small RNA and RNA data. Implementation with Docker makes SePIA portable and easy to run. We demonstrate the workflow?s extensive utility with two case studies involving three breast cancer datasets. SePIA is straightforward to configure and organizes results into a perusable HTML report. Furthermore, the underlying pipeline engine supports computational resource management for optimal performance. Conclusion: SePIA is an open-source workflow introducing standardized processing and analysis of RNA and small RNA data. SePIA?s modular design enables robust customization to a given experiment while maintaining overall workflow structure. It is available at http://anduril.org/sepia. Electronic supplementary material: The online version of this article (doi:10.1186/s13040-016-0099-z) contains supplementary material, which is available to authorized users. Twit Text FOAVip SePIA: RNA and small RNA sequence processing, integration, and analysis ????BioData Min http://www.kidney.de/pget.php?&tw=1&pmid=27213017 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27213017 #FOAvip English Wikipedia <ref>{{Cite pmid|27213017}}</ref> SePIA: RNA and small RNA sequence processing, integration, and analysis #MMPMID27213017 Icay K; Chen P; Cervera A; Rantanen V; Lehtonen R; Hautaniemi S BioData Min 2016[]; 9 (ä): ä PMID27213017show ga Background: Large-scale sequencing experiments are complex and require a wide spectrum of computational tools to extract and interpret relevant biological information. This is especially true in projects where individual processing and integrated analysis of both small RNA and complementary RNA data is needed. Such studies would benefit from a computational workflow that is easy to implement and standardizes the processing and analysis of both sequenced data types. Results: We developed SePIA (Sequence Processing, Integration, and Analysis), a comprehensive small RNA and RNA workflow. It provides ready execution for over 20 commonly known RNA-seq tools on top of an established workflow engine and provides dynamic pipeline architecture to manage, individually analyze, and integrate both small RNA and RNA data. Implementation with Docker makes SePIA portable and easy to run. We demonstrate the workflow?s extensive utility with two case studies involving three breast cancer datasets. SePIA is straightforward to configure and organizes results into a perusable HTML report. Furthermore, the underlying pipeline engine supports computational resource management for optimal performance. Conclusion: SePIA is an open-source workflow introducing standardized processing and analysis of RNA and small RNA data. SePIA?s modular design enables robust customization to a given experiment while maintaining overall workflow structure. It is available at http://anduril.org/sepia. Electronic supplementary material: The online version of this article (doi:10.1186/s13040-016-0099-z) contains supplementary material, which is available to authorized users. äSePIA: RNA and small RNA sequence processing, integration, and analysi(epmc).pdf DeepDyve Pubget Overpricing