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10.1186/s13742-016-0131-8 http://scihub22266oqcxt.onion/10.1186/s13742-016-0131-8 C4897896!4897896!27267926     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       Gigascience 2016 ; 5 (ä): ä Nephropedia Template TP {{tp|p=27267926|t=2016. Gigwa?Genotype investigator for genome-wide analyses |pdf=|usr=}}{{27267926}} gab.com Text Gigwa Genotype investigator for genome-wide analyses JO: Gigascience http://www.kidney.de/pget.php?&tw=1&pmid=27267926 #FOAvip Background: Exploring the structure of genomes and analyzing their evolution is essential to understanding the ecological adaptation of organisms. However, with the large amounts of data being produced by next-generation sequencing, computational challenges arise in terms of storage, search, sharing, analysis and visualization. This is particularly true with regards to studies of genomic variation, which are currently lacking scalable and user-friendly data exploration solutions. Description: Here we present Gigwa, a web-based tool that provides an easy and intuitive way to explore large amounts of genotyping data by filtering it not only on the basis of variant features, including functional annotations, but also on genotype patterns. The data storage relies on MongoDB, which offers good scalability properties. Gigwa can handle multiple databases and may be deployed in either single- or multi-user mode. In addition, it provides a wide range of popular export formats. Conclusions: The Gigwa application is suitable for managing large amounts of genomic variation data. Its user-friendly web interface makes such processing widely accessible. It can either be simply deployed on a workstation or be used to provide a shared data portal for a given community of researchers. Electronic supplementary material: The online version of this article (doi:10.1186/s13742-016-0131-8) contains supplementary material, which is available to authorized users. Twit Text FOAVip Gigwa Genotype investigator for genome-wide analyses ????Gigascience http://www.kidney.de/pget.php?&tw=1&pmid=27267926 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27267926 #FOAvip English Wikipedia <ref>{{Cite pmid|27267926}}</ref> Gigwa?Genotype investigator for genome-wide analyses #MMPMID27267926 Sempéré G; Philippe F; Dereeper A; Ruiz M; Sarah G; Larmande P Gigascience 2016[]; 5 (ä): ä PMID27267926show ga Background: Exploring the structure of genomes and analyzing their evolution is essential to understanding the ecological adaptation of organisms. However, with the large amounts of data being produced by next-generation sequencing, computational challenges arise in terms of storage, search, sharing, analysis and visualization. This is particularly true with regards to studies of genomic variation, which are currently lacking scalable and user-friendly data exploration solutions. Description: Here we present Gigwa, a web-based tool that provides an easy and intuitive way to explore large amounts of genotyping data by filtering it not only on the basis of variant features, including functional annotations, but also on genotype patterns. The data storage relies on MongoDB, which offers good scalability properties. Gigwa can handle multiple databases and may be deployed in either single- or multi-user mode. In addition, it provides a wide range of popular export formats. Conclusions: The Gigwa application is suitable for managing large amounts of genomic variation data. Its user-friendly web interface makes such processing widely accessible. It can either be simply deployed on a workstation or be used to provide a shared data portal for a given community of researchers. Electronic supplementary material: The online version of this article (doi:10.1186/s13742-016-0131-8) contains supplementary material, which is available to authorized users. äGigwa?Genotype investigator for genome-wide analyses (epmc).pdf DeepDyve Pubget Overpricing