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10.1093/bioinformatics/btv382 http://scihub22266oqcxt.onion/10.1093/bioinformatics/btv382 C4595903!4595903!26104745     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 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 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Bioinformatics 2015 ; 31 (20): 3368-70 Nephropedia Template TP {{tp|p=26104745|t=2015. MetaQuery: a web server for rapid annotation and quantitative analysis of specific genes in the human gut microbiome |pdf=|usr=}}{{26104745}} gab.com Text MetaQuery: a web server for rapid annotation and quantitative analysis of specific genes in the human gut microbiome JO: Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=26104745 #FOAvip Summary: Microbiome researchers frequently want to know how abundant a particular microbial gene or pathway is across different human hosts, including its association with disease and its co-occurrence with other genes or microbial taxa. With thousands of publicly available metagenomes, these questions should be easy to answer. However, computational barriers prevent most researchers from conducting such analyses. We address this problem with MetaQuery, a web application for rapid and quantitative analysis of specific genes in the human gut microbiome. The user inputs one or more query genes, and our software returns the estimated abundance of these genes across 1267 publicly available fecal metagenomes from American, European and Chinese individuals. In addition, our application performs downstream statistical analyses to identify features that are associated with gene variation, including other query genes (i.e. gene co-variation), taxa, clinical variables (e.g. inflammatory bowel disease and diabetes) and average genome size. The speed and accessibility of MetaQuery are a step toward democratizing metagenomics research, which should allow many researchers to query the abundance and variation of specific genes in the human gut microbiome.Availability and implementation:http://metaquery.docpollard.org.Contact:snayfach@gmail.comSuppleme ntary information:Supplementary data are available at Bioinformatics online. Twit Text FOAVip MetaQuery: a web server for rapid annotation and quantitative analysis of specific genes in the human gut microbiome ????Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=26104745 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26104745 #FOAvip English Wikipedia <ref>{{Cite pmid|26104745}}</ref> MetaQuery: a web server for rapid annotation and quantitative analysis of specific genes in the human gut microbiome #MMPMID26104745 Nayfach S; Fischbach MA; Pollard KS Bioinformatics 2015[Oct]; 31 (20): 3368-70 PMID26104745show ga Summary: Microbiome researchers frequently want to know how abundant a particular microbial gene or pathway is across different human hosts, including its association with disease and its co-occurrence with other genes or microbial taxa. With thousands of publicly available metagenomes, these questions should be easy to answer. However, computational barriers prevent most researchers from conducting such analyses. We address this problem with MetaQuery, a web application for rapid and quantitative analysis of specific genes in the human gut microbiome. The user inputs one or more query genes, and our software returns the estimated abundance of these genes across 1267 publicly available fecal metagenomes from American, European and Chinese individuals. In addition, our application performs downstream statistical analyses to identify features that are associated with gene variation, including other query genes (i.e. gene co-variation), taxa, clinical variables (e.g. inflammatory bowel disease and diabetes) and average genome size. The speed and accessibility of MetaQuery are a step toward democratizing metagenomics research, which should allow many researchers to query the abundance and variation of specific genes in the human gut microbiome.Availability and implementation:http://metaquery.docpollard.org.Contact:snayfach@gmail.comSuppleme ntary information:Supplementary data are available at Bioinformatics online. äMetaQuery: a web server for rapid annotation and quantitative analysis(epmc).pdf DeepDyve Pubget Overpricing