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10.1111/1751-7915.13284 http://scihub22266oqcxt.onion/10.1111/1751-7915.13284 C6011933!6011933!29806194     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\29806194.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Microb+Biotechnol 2018 ; 11 (4): 588-605 Nephropedia Template TP {{tp|p=29806194|t=2018. No wisdom in the crowd: genome annotation in the era of big data ? current status and future prospects |pdf=|usr=}}{{29806194}} gab.com Text No wisdom in the crowd: genome annotation in the era of big data current status and future prospects JO: Microb Biotechnol http://www.kidney.de/pget.php?&tw=1&pmid=29806194 #FOAvip Science and engineering rely on the accumulation and dissemination of knowledge to make discoveries and create new designs. Discovery?driven genome research rests on knowledge passed on via gene annotations. In response to the deluge of sequencing big data, standard annotation practice employs automated procedures that rely on majority rules. We argue this hinders progress through the generation and propagation of errors, leading investigators into blind alleys. More subtly, this inductive process discourages the discovery of novelty, which remains essential in biological research and reflects the nature of biology itself. Annotation systems, rather than being repositories of facts, should be tools that support multiple modes of inference. By combining deduction, induction and abduction, investigators can generate hypotheses when accurate knowledge is extracted from model databases. A key stance is to depart from ?the sequence tells the structure tells the function? fallacy, placing function first. We illustrate our approach with examples of critical or unexpected pathways, using MicroScope to demonstrate how tools can be implemented following the principles we advocate. We end with a challenge to the reader. Twit Text FOAVip No wisdom in the crowd: genome annotation in the era of big data current status and future prospects ????Microb Biotechnol http://www.kidney.de/pget.php?&tw=1&pmid=29806194 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29806194 #FOAvip English Wikipedia <ref>{{Cite pmid|29806194}}</ref> No wisdom in the crowd: genome annotation in the era of big data ? current status and future prospects #MMPMID29806194 Danchin A; Ouzounis C; Tokuyasu T; Zucker J Microb Biotechnol 2018[Jul]; 11 (4): 588-605 PMID29806194show ga Science and engineering rely on the accumulation and dissemination of knowledge to make discoveries and create new designs. Discovery?driven genome research rests on knowledge passed on via gene annotations. In response to the deluge of sequencing big data, standard annotation practice employs automated procedures that rely on majority rules. We argue this hinders progress through the generation and propagation of errors, leading investigators into blind alleys. More subtly, this inductive process discourages the discovery of novelty, which remains essential in biological research and reflects the nature of biology itself. Annotation systems, rather than being repositories of facts, should be tools that support multiple modes of inference. By combining deduction, induction and abduction, investigators can generate hypotheses when accurate knowledge is extracted from model databases. A key stance is to depart from ?the sequence tells the structure tells the function? fallacy, placing function first. We illustrate our approach with examples of critical or unexpected pathways, using MicroScope to demonstrate how tools can be implemented following the principles we advocate. We end with a challenge to the reader. äNo wisdom in the crowd: genome annotation in the era of big data ? cur(epmc).pdf DeepDyve Pubget Overpricing