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10.1186/s12915-018-0486-7 http://scihub22266oqcxt.onion/10.1186/s12915-018-0486-7 C5838952!5838952!29506533     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 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       BMC+Biol 2018 ; 16 (ä): ä Nephropedia Template TP {{tp|p=29506533|t=2018. A software tool ?CroCo? detects pervasive cross-species contamination in next generation sequencing data |pdf=|usr=}}{{29506533}} gab.com Text A software tool CroCo detects pervasive cross-species contamination in next generation sequencing data JO: BMC Biol http://www.kidney.de/pget.php?&tw=1&pmid=29506533 #FOAvip Background: Multiple RNA samples are frequently processed together and often mixed before multiplex sequencing in the same sequencing run. While different samples can be separated post sequencing using sample barcodes, the possibility of cross contamination between biological samples from different species that have been processed or sequenced in parallel has the potential to be extremely deleterious for downstream analyses. Results: We present CroCo, a software package for identifying and removing such cross contaminants from assembled transcriptomes. Using multiple, recently published sequence datasets, we show that cross contamination is consistently present at varying levels in real data. Using real and simulated data, we demonstrate that CroCo detects contaminants efficiently and correctly. Using a real example from a molecular phylogenetic dataset, we show that contaminants, if not eliminated, can have a decisive, deleterious impact on downstream comparative analyses. Conclusions: Cross contamination is pervasive in new and published datasets and, if undetected, can have serious deleterious effects on downstream analyses. CroCo is a database-independent, multi-platform tool, designed for ease of use, that efficiently and accurately detects and removes cross contamination in assembled transcriptomes to avoid these problems. We suggest that the use of CroCo should become a standard cleaning step when processing multiple samples for transcriptome sequencing. Electronic supplementary material: The online version of this article (10.1186/s12915-018-0486-7) contains supplementary material, which is available to authorized users. Twit Text FOAVip A software tool CroCo detects pervasive cross-species contamination in next generation sequencing data ????BMC Biol http://www.kidney.de/pget.php?&tw=1&pmid=29506533 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29506533 #FOAvip English Wikipedia <ref>{{Cite pmid|29506533}}</ref> A software tool ?CroCo? detects pervasive cross-species contamination in next generation sequencing data #MMPMID29506533 Simion P; Belkhir K; François C; Veyssier J; Rink JC; Manuel M; Philippe H; Telford MJ BMC Biol 2018[]; 16 (ä): ä PMID29506533show ga Background: Multiple RNA samples are frequently processed together and often mixed before multiplex sequencing in the same sequencing run. While different samples can be separated post sequencing using sample barcodes, the possibility of cross contamination between biological samples from different species that have been processed or sequenced in parallel has the potential to be extremely deleterious for downstream analyses. Results: We present CroCo, a software package for identifying and removing such cross contaminants from assembled transcriptomes. Using multiple, recently published sequence datasets, we show that cross contamination is consistently present at varying levels in real data. Using real and simulated data, we demonstrate that CroCo detects contaminants efficiently and correctly. Using a real example from a molecular phylogenetic dataset, we show that contaminants, if not eliminated, can have a decisive, deleterious impact on downstream comparative analyses. Conclusions: Cross contamination is pervasive in new and published datasets and, if undetected, can have serious deleterious effects on downstream analyses. CroCo is a database-independent, multi-platform tool, designed for ease of use, that efficiently and accurately detects and removes cross contamination in assembled transcriptomes to avoid these problems. We suggest that the use of CroCo should become a standard cleaning step when processing multiple samples for transcriptome sequencing. Electronic supplementary material: The online version of this article (10.1186/s12915-018-0486-7) contains supplementary material, which is available to authorized users. äA software tool ?CroCo? detects pervasive cross-species contamination (epmc).pdf DeepDyve Pubget Overpricing