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10.3390/genes11111380 http://scihub22266oqcxt.onion/10.3390/genes11111380 33233349!7700633!33233349     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 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 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Genes+(Basel) 2020 ; 11 (11): ä Nephropedia Template TP {{tp|p=33233349|t=2020. Metagenomic Information Recovery from Human Stool Samples Is Influenced by Sequencing Depth and Profiling Method |pdf=|usr=}}{{33233349}} gab.com Text Metagenomic Information Recovery from Human Stool Samples Is Influenced by Sequencing Depth and Profiling Method JO: Genes (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=33233349 #FOAvip Sequencing of the 16S rRNA gene (16S) has long been a go-to method for microbiome characterization due to its accessibility and lower cost compared to shotgun metagenomic sequencing (SMS). However, 16S sequencing rarely provides species-level resolution and cannot provide direct assessment of other taxa (e.g., viruses and fungi) or functional gene content. Shallow shotgun metagenomic sequencing (SSMS) has emerged as an approach to bridge the gap between 16S sequencing and deep metagenomic sequencing. SSMS is cost-competitive with 16S sequencing, while also providing species-level resolution and functional gene content insights. In the present study, we evaluated the effects of sequencing depth on marker gene-mapping- and alignment-based annotation of bacteria in healthy human stool samples. The number of identified taxa decreased with lower sequencing depths, particularly with the marker gene-mapping-based approach. Other annotations, including viruses and pathways, also showed a depth-dependent effect on feature recovery. These results refine the understanding of the suitability and shortcomings of SSMS, as well as annotation tools for metagenomic analyses in human stool samples. Results may also translate to other sample types and may open the opportunity to explore the effect of sequencing depth and annotation method. Twit Text FOAVip Metagenomic Information Recovery from Human Stool Samples Is Influenced by Sequencing Depth and Profiling Method ????Genes (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=33233349 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33233349 #FOAvip English Wikipedia <ref>{{Cite pmid|33233349}}</ref> Metagenomic Information Recovery from Human Stool Samples Is Influenced by Sequencing Depth and Profiling Method #MMPMID33233349 Santiago-Rodriguez TM; Garoutte A; Adams E; Nasser W; Ross MC; La Reau A; Henseler Z; Ward T; Knights D; Petrosino JF; Hollister EB Genes (Basel) 2020[Nov]; 11 (11): ä PMID33233349show ga Sequencing of the 16S rRNA gene (16S) has long been a go-to method for microbiome characterization due to its accessibility and lower cost compared to shotgun metagenomic sequencing (SMS). However, 16S sequencing rarely provides species-level resolution and cannot provide direct assessment of other taxa (e.g., viruses and fungi) or functional gene content. Shallow shotgun metagenomic sequencing (SSMS) has emerged as an approach to bridge the gap between 16S sequencing and deep metagenomic sequencing. SSMS is cost-competitive with 16S sequencing, while also providing species-level resolution and functional gene content insights. In the present study, we evaluated the effects of sequencing depth on marker gene-mapping- and alignment-based annotation of bacteria in healthy human stool samples. The number of identified taxa decreased with lower sequencing depths, particularly with the marker gene-mapping-based approach. Other annotations, including viruses and pathways, also showed a depth-dependent effect on feature recovery. These results refine the understanding of the suitability and shortcomings of SSMS, as well as annotation tools for metagenomic analyses in human stool samples. Results may also translate to other sample types and may open the opportunity to explore the effect of sequencing depth and annotation method. |Bacteria/genetics[MESH] |Feces/*microbiology[MESH] |Gastrointestinal Microbiome/*genetics[MESH] |Genetic Markers[MESH] |High-Throughput Nucleotide Sequencing/methods[MESH] |Humans[MESH] |Metagenome[MESH] |Metagenomics/*methods[MESH] |RNA, Ribosomal, 16S/genetics[MESH] |Sequence Analysis, DNA/methods[MESH]Metagenomic Information Recovery from Human Stool Samples Is Influence(epmc).pdf DeepDyve Pubget Overpricing