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The assignment of sequence orientations and functional annotations of the all-unigenes were determined by BLASTx against the followed database, the NCBI nonredundant (Nr) protein database, the Swiss-Prot protein database, the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database and the Cluster of Orthologous Groups (COG) database with an E-value cut-off of 1.0e 5.
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The search parameters were defined as follows: database, SwissProt; taxonomy, Fungi; enzyme, trypsin; and allowance of one missed cleavage.
Following database searching, only spectra that exceeded the corresponding MASCOT's threshold score for identify (set at the 95% confidence level) are here reported.
Following database searches, we identified 116 individual citations, and a further 40 potential studies after we checked trial abstracts.
The database search parameters were as follows: database - IPI human, mass-type monoisotopic precursor and fragment; enzyme - trypsin, threshold - 100, peptide tolerance - 1.5 Da, fragment ion tolerance - 1.0.
The search criteria were as follows: database - MSDB; organism - Drosophila; protease - Trypsin; fixed modification, Carbamidomethyl; variable modification - Oxidation (M); mass accuracy - 100 ppm and 0 missed cleavages.
Following database lock, it was discovered that of the 278 enrolled DFI patients, 23 were not indicated as having an open wound.
Following database lock of the 'immunology phase' of the trial (data up to the 17th week of life), the principal investigator (PI) was partially unblinded to group level only; (not placebo/intervention assignment).
A search of randomized clinical trials (RCT) was performed using the follow databases and the bibliography of candidate studies: MEDLINE, Web of Science, EMBASE, CENTRAL/Cochrane and Physiotherapy Evidence Database.
Following databases were systematically searched on the 31st of August 2013 for articles describing implementation of online technologies into physiotherapy teaching and learning: ERIC, CINAHL, Web of Science, Academic search complete, ProQuest Nursing and Allied Health Source, Medline, Embase, and Scopus.
The most common types of NoSQL databases are as follows: Documents databases: These databases typically store data in a JSON-like (JavaScript Object Notation) structure.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com