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10.1186/s12859-015-0777-8 http://scihub22266oqcxt.onion/10.1186/s12859-015-0777-8 C4625458!4625458 !26511083     free     free     free Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26511083 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       BMC+Bioinformatics 2015 ; 16 (ä): 346 Nephropedia Template TP {{tp|p=26511083 |t=2015. GOTA: GO term annotation of biomedical literature |pdf=|usr=}}{{26511083 }} gab.com Text GOTA: GO term annotation of biomedical literature JO: BMC Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=26511083 #FOAvip BACKGROUND: Functional annotation of genes and gene products is a major challenge in the post-genomic era. Nowadays, gene function curation is largely based on manual assignment of Gene Ontology (GO) annotations to genes by using published literature. The annotation task is extremely time-consuming, therefore there is an increasing interest in automated tools that can assist human experts. RESULTS: Here we introduce GOTA, a GO term annotator for biomedical literature. The proposed approach makes use only of information that is readily available from public repositories and it is easily expandable to handle novel sources of information. We assess the classification capabilities of GOTA on a large benchmark set of publications. The overall performances are encouraging in comparison to the state of the art in multi-label classification over large taxonomies. Furthermore, the experimental tests provide some interesting insights into the potential improvement of automated annotation tools. CONCLUSIONS: GOTA implements a flexible and expandable model for GO annotation of biomedical literature. The current version of the GOTA tool is freely available at http://gota.apice.unibo.it. Twit Text FOAVip GOTA: GO term annotation of biomedical literature ????BMC Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=26511083 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26511083 #FOAvip English Wikipedia <ref>{{Cite pmid|26511083 }}</ref> GOTA: GO term annotation of biomedical literature #MMPMID26511083 Di Lena P ; Domeniconi G ; Margara L ; Moro G BMC Bioinformatics 2015[Oct]; 16 (ä): 346 PMID26511083 show ga BACKGROUND: Functional annotation of genes and gene products is a major challenge in the post-genomic era. Nowadays, gene function curation is largely based on manual assignment of Gene Ontology (GO) annotations to genes by using published literature. The annotation task is extremely time-consuming, therefore there is an increasing interest in automated tools that can assist human experts. RESULTS: Here we introduce GOTA, a GO term annotator for biomedical literature. The proposed approach makes use only of information that is readily available from public repositories and it is easily expandable to handle novel sources of information. We assess the classification capabilities of GOTA on a large benchmark set of publications. The overall performances are encouraging in comparison to the state of the art in multi-label classification over large taxonomies. Furthermore, the experimental tests provide some interesting insights into the potential improvement of automated annotation tools. CONCLUSIONS: GOTA implements a flexible and expandable model for GO annotation of biomedical literature. The current version of the GOTA tool is freely available at http://gota.apice.unibo.it. |*User-Computer Interface [MESH] |Animals [MESH] |Data Mining [MESH] |Gene Ontology [MESH] |Humans [MESH] |Internet [MESH]GOTA: GO term annotation of biomedical literature (epmc).pdf DeepDyve Pubget Overpricing