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10.17113/ftb.55.02.17.4749 http://scihub22266oqcxt.onion/10.17113/ftb.55.02.17.4749 C5569342!5569342!28867956     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=28867956&cmd=llinks): Failed to open stream: HTTP request failed! 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MEGGASENSE ? The Metagenome/Genome Annotated Sequence Natural Language Search Engine: A Platform for ?the Construction of Sequence Data Warehouses |pdf=|usr=}}{{28867956}} gab.com Text MEGGASENSE The Metagenome/Genome Annotated Sequence Natural Language Search Engine: A Platform for the Construction of Sequence Data Warehouses JO: Food Technol Biotechnol http://www.kidney.de/pget.php?&tw=1&pmid=28867956 #FOAvip The MEGGASENSE platform constructs relational databases of DNA or protein sequences. The default functional analysis uses 14 106 hidden Markov model (HMM) profiles based on sequences in the KEGG database. The Solr search engine allows sophisticated queries and a BLAST search function is also incorporated. These standard capabilities were used to generate the SCATT database from the predicted proteome of Streptomyces cattleya. The implementation of a specialised metagenome database (AMYLOMICS) for bioprospecting of carbohydrate-modifying enzymes is described. In addition to standard assembly of reads, a novel ?functional? assembly was developed, in which screening of reads with the HMM profiles occurs before the assembly. The AMYLOMICS database incorporates additional HMM profiles for carbohydrate-modifying enzymes and it is illustrated how the combination of HMM and BLAST analyses helps identify interesting genes. A variety of different proteome and metagenome databases have been generated by MEGGASENSE. Twit Text FOAVip MEGGASENSE The Metagenome/Genome Annotated Sequence Natural Language Search Engine: A Platform for the Construction of Sequence Data Warehouses ????Food Technol Biotechnol http://www.kidney.de/pget.php?&tw=1&pmid=28867956 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28867956 #FOAvip English Wikipedia <ref>{{Cite pmid|28867956}}</ref> MEGGASENSE ? The Metagenome/Genome Annotated Sequence Natural Language Search Engine: A Platform for ?the Construction of Sequence Data Warehouses #MMPMID28867956 Gacesa R; Zucko J; Petursdottir SK; Gudmundsdottir EE; Fridjonsson OH; Diminic J; Long PF; Cullum J; Hranueli D; Hreggvidsson GO; Starcevic A Food Technol Biotechnol 2017[Jun]; 55 (2): 251-7 PMID28867956show ga The MEGGASENSE platform constructs relational databases of DNA or protein sequences. The default functional analysis uses 14 106 hidden Markov model (HMM) profiles based on sequences in the KEGG database. The Solr search engine allows sophisticated queries and a BLAST search function is also incorporated. These standard capabilities were used to generate the SCATT database from the predicted proteome of Streptomyces cattleya. The implementation of a specialised metagenome database (AMYLOMICS) for bioprospecting of carbohydrate-modifying enzymes is described. In addition to standard assembly of reads, a novel ?functional? assembly was developed, in which screening of reads with the HMM profiles occurs before the assembly. The AMYLOMICS database incorporates additional HMM profiles for carbohydrate-modifying enzymes and it is illustrated how the combination of HMM and BLAST analyses helps identify interesting genes. A variety of different proteome and metagenome databases have been generated by MEGGASENSE. äMEGGASENSE ? The Metagenome/Genome Annotated Sequence Natural Language(epmc).pdf DeepDyve Pubget Overpricing