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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
3 e dust mite and timothy grass, measured as a RAST Index, ad a h(2)(N) of 33.8% (SE = 7.3%).
4  interconnectedness of the SEED database and RAST, the RAST annotation pipeline and updates to both r
5       This time period was called rapid AST (RAST).
6 ) and IgE (sera from peanut-allergic donors, RAST>3).
7                                          For RAST, a technologist on the evening shift verified the d
8 r RAST and 44.4 h for NAST (5.2 h faster for RAST [P = 0.001]).
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
10  for NAST, a difference of 2.0 days less for RAST (P = 0.006).
11  a difference of $1,750 less per patient for RAST (P = 0.001).
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
15                   Recently, in order to make RAST a more useful research tool and to keep pace with a
16 s, which runs in conjunction with Metagenome-RAST (MG-RAST) servers.
17                 The open-source metagenomics RAST service provides a new paradigm for the annotation
18 houses abstract data types, the metagenomics RAST is stable, extensible, and freely available to all
19                          In the metagenomics RAST, all users retain full control of their data, and e
20                                           MG-RAST is an open-submission data portal for processing, a
21           For example, as of summer 2013, MG-RAST has been used to annotate over 110,000 data sets to
22  using the Ribosomal Database Project and MG-RAST analysis tools.
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
26         This API complements the existing MG-RAST web interface and constitutes the basis of KBase's
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
31                                By opening MG-RAST up via a web services API (application programmers
32 runs in conjunction with Metagenome-RAST (MG-RAST) servers.
33                          Working with the MG-RAST annotation server, we constructed the Simple Annota
34  all data and data objects created by the MG-RAST pipeline accessible as JSON objects.
35 ers, greatly enhancing the utility of the MG-RAST service.
36 rface) we have greatly expanded access to MG-RAST data, as well as provided a mechanism for the use o
37 he use of third-party analysis tools with MG-RAST data.
38 atients whose samples were tested as part of RAST (P = 0.006).
39 atients whose samples were tested as part of RAST and NAST, respectively (P = 0.45).
40 is the first major software restructuring of RAST since its inception.
41 RAST tool kit (RASTtk), a modular version of RAST that enables researchers to build custom annotation
42 t has become desirable to build a version of RAST that is both customizable and extensible.
43  and underwent prick skin tests (n = 254) or RASTs (n = 16) for environmental and LA allergens.
44 However, on the basis of prick skin tests or RASTs, only half are sensitized to LA.
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
47 era is within +/-1 radioallergosorbent test (RAST) class.
48 odified monoclonal radioallergosorbent test (RAST).
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
51 erimental bisolute adsorption isotherms than RAST.
52                                          The RAST (Rapid Annotation using Subsystem Technology) annot
53               In this paper, we describe the RAST tool kit (RASTtk), a modular version of RAST that e
54 notype and genomic feature prediction in the RAST and PATRIC annotation services.
55 roteins, some of which bound IgE well in the RAST, but lost IgE reactivity upon immunoblotting.
56 n families), which represent the core of the RAST annotation engine.
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
59            When a new genome is submitted to RAST, genes are called and their annotations are made by
60 han 10,000, are consistently annotated using RAST, the Rapid Annotations using Subsystems Technology.
61 ave annotated >60 000 distinct genomes using RAST.
62 peptides respectively, were identified using RAST.

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