Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1093/bioinformatics/btu267 http://scihub22266oqcxt.onion/10.1093/bioinformatics/btu267 C4058918!4058918!24931978     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 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Bioinformatics 2014 ; 30 (12): i149-56 Nephropedia Template TP {{tp|p=24931978|t=2014. Pipasic: similarity and expression correction for strain-level identification and quantification in metaproteomics |pdf=|usr=}}{{24931978}} gab.com Text Pipasic: similarity and expression correction for strain-level identification and quantification in metaproteomics JO: Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=24931978 #FOAvip Motivation: Metaproteomic analysis allows studying the interplay of organisms or functional groups and has become increasingly popular also for diagnostic purposes. However, difficulties arise owing to the high sequence similarity between related organisms. Further, the state of conservation of proteins between species can be correlated with their expression level, which can lead to significant bias in results and interpretation. These challenges are similar but not identical to the challenges arising in the analysis of metagenomic samples and require specific solutions.Results: We introduce Pipasic (peptide intensity-weighted proteome abundance similarity correction) as a tool that corrects identification and spectral counting-based quantification results using peptide similarity estimation and expression level weighting within a non-negative lasso framework. Pipasic has distinct advantages over approaches only regarding unique peptides or aggregating results to the lowest common ancestor, as demonstrated on examples of viral diagnostics and an acid mine drainage dataset.Availability and implementation: Pipasic source code is freely available from https://sourceforge.net/projects/pipasic/.Contact:RenardB@rki.deSupplementary information:Supplementary data are available at Bioinformatics online Twit Text FOAVip Pipasic: similarity and expression correction for strain-level identification and quantification in metaproteomics ????Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=24931978 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24931978 #FOAvip English Wikipedia <ref>{{Cite pmid|24931978}}</ref> Pipasic: similarity and expression correction for strain-level identification and quantification in metaproteomics #MMPMID24931978 Penzlin A; Lindner MS; Doellinger J; Dabrowski PW; Nitsche A; Renard BY Bioinformatics 2014[Jun]; 30 (12): i149-56 PMID24931978show ga Motivation: Metaproteomic analysis allows studying the interplay of organisms or functional groups and has become increasingly popular also for diagnostic purposes. However, difficulties arise owing to the high sequence similarity between related organisms. Further, the state of conservation of proteins between species can be correlated with their expression level, which can lead to significant bias in results and interpretation. These challenges are similar but not identical to the challenges arising in the analysis of metagenomic samples and require specific solutions.Results: We introduce Pipasic (peptide intensity-weighted proteome abundance similarity correction) as a tool that corrects identification and spectral counting-based quantification results using peptide similarity estimation and expression level weighting within a non-negative lasso framework. Pipasic has distinct advantages over approaches only regarding unique peptides or aggregating results to the lowest common ancestor, as demonstrated on examples of viral diagnostics and an acid mine drainage dataset.Availability and implementation: Pipasic source code is freely available from https://sourceforge.net/projects/pipasic/.Contact:RenardB@rki.deSupplementary information:Supplementary data are available at Bioinformatics online äPipasic: similarity and expression correction for strain-level identif(epmc).pdf DeepDyve Pubget Overpricing