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1 RAST incorporated with an empirical four-parameter equat
2 (p = 0.0004) and house dust mite (p = 0.04), RAST to grass (p = 0.002) and bronchial reactivity to me
4 interconnectedness of the SEED database and RAST, the RAST annotation pipeline and updates to both r
9 the reporting of AST results was 39.2 h for RAST and 44.4 h for NAST (5.2 h faster for RAST [P = 0.0
12 ge variable cost was $4, 927 per patient for RAST and $6,677 for NAST, a difference of $1,750 less pe
13 length of stay was 10.7 days per patient for RAST and 12.6 days for NAST, a difference of 2.0 days le
14 h sera from CM-allergic patients (n = 26) in RAST-based assays and with rat basophils transfected wit
18 houses abstract data types, the metagenomics RAST is stable, extensible, and freely available to all
23 n popular metagenomics resources, such as MG-RAST, EBI Metagenomics, and probeBASE, as well as a newl
24 ce of various bioinformatic tools (BLAST, MG-RAST, NBC, VMGAP, MetaVir, VIROME) for analysing the vir
25 phylogenetic analysis of these contigs by MG-RAST revealed predominance of Bacteroidetes, followed by
27 amples integrating data and analyses from MG-RAST into popular third-party analysis tools or sequence
28 To show possible uses for the data from MG-RAST, we present several examples integrating data and a
29 e present an API that exposes the data in MG-RAST for consumption by our users, greatly enhancing the
30 ased analysis tools and infrastructure in MG-RAST provide limited capability for data retrieval and a
36 rface) we have greatly expanded access to MG-RAST data, as well as provided a mechanism for the use o
41 RAST tool kit (RASTtk), a modular version of RAST that enables researchers to build custom annotation
45 in reactions were associated with a positive RAST (14/23) as well as with specific IgE (13/23) and Ig
46 tides thereof were studied with quantitative RAST-based methods, in ELISA, basophil activation and Ig
49 positive serum radioallergosorbent testing (RAST), nasal eosinophilia, or elevated nasal ECP (odds r
50 e activity coefficients, gammai, better than RAST combined with the Wilson equation or the Nonrandom
57 ectedness of the SEED database and RAST, the RAST annotation pipeline and updates to both resources.
58 T (SIAST) and Real Adsorbed Solution Theory (RAST), to bisolute adsorption of organic compounds onto
60 han 10,000, are consistently annotated using RAST, the Rapid Annotations using Subsystems Technology.
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