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1 ic databases and link findings to associated metadata.
2 projects along with a broad array of curated metadata.
3 g depth of coverage and integrating relevant metadata.
4 e, we have used standards to expose data and metadata.
5     We also prospectively collected clinical metadata.
6  more reidentifiable than men in credit card metadata.
7 cles to automate the retrieval of sufficient metadata.
8 d associated bioinformatics and experimental metadata.
9  for rapid identification to link species to metadata.
10  call format) in the context of geographical metadata.
11 edical Ontology (OBO) class descriptions and metadata.
12 access and analyze bioassay test results and metadata.
13 res and sequence typing data] and associated metadata.
14 tically generated lipid molecules and useful metadata.
15 s SQLite database for querying and accessing metadata.
16 tform for capturing and sharing experimental metadata.
17 ed flow data conditioned on experiment-level metadata.
18 e need to gather and organize the associated metadata.
19 about the study design or other experimental metadata.
20 omputed using the coordinates and associated metadata.
21 cticide resistance data and their associated metadata.
22 rieval of cryoEM maps, models and associated metadata.
23 ctral data and their associated experimental metadata.
24  the "current standard" of detailed clinical metadata.
25 al series) and improved metadata, and use of metadata.
26 ovides context-specific functionality to the metadata.
27 ign of database systems to hold the data and metadata.
28 tation of all the Robot Scientist's data and metadata.
29 ate the sharing of critical digital data and metadata.
30 a, extended to incorporate curation-specific metadata.
31 give an overview of these services and their metadata.
32  search tools rely almost exclusively on the metadata.
33 all annotated with detailed and standardized metadata.
34 omic model from a cryo-EM map with annotated metadata.
35 and integrate them with clinical and genomic metadata.
36 is of taxonomy and function, and support for metadata.
37 ns and the underlying biology in the form of metadata.
38 light on the privacy properties of telephone metadata.
39 experimental parameters in diffraction image metadata.
40 during 2003-2013, along with epidemiological metadata.
41 n of assembled metagenomes and their complex metadata.
42 tting all terms in an ontology to retrieving metadata about a term.
43                          Publicly accessible metadata about submitted studies, summary level data, an
44 ions" in the form of standardized experiment metadata about the specimen source analyzed and marker g
45 provided preliminary structural information (metadata) about this complex glycome.
46 e database to match unknowns with biological metadata across over 110,000 samples; MS-DIAL 2.0, a sof
47 ture a complete annotation of the experiment metadata along with the metabolite abundance databased o
48                     Here we apply a rigorous metadata analysis and new ensemble-hindcasting approach
49 egrating all these sequences with associated metadata and analytical tools.
50 eractive visualization within the context of metadata and biological annotations.
51                    Text-based search on rich metadata and chemical substructure search allow precise
52 ng original mass spectra files, experimental metadata and conclusion-level results.
53 epository-to represent, store and query both metadata and data across life sciences datasets.
54 org, is a public repository for metabolomics metadata and experimental data spanning various species
55 els for age, gender, and tissue from textual metadata and GEO data using both a heuristic approach as
56 ntent and format of the metagenomic data and metadata and its submission to the CAMERA repository.
57 epitope locations, clinical and surveillance metadata and novel data derived from comparative genomic
58  software provides a user interface to query metadata and obtain standardized results in an exportabl
59  these datasets, we collected the associated metadata and organized them in a database called RNASeqM
60  CAA-related articles from PubMed, collected metadata and performed productivity analysis, copublicat
61 related with downregulation of ADAR2 both in metadata and qRT-PCR based validation.
62 ncoding schemes are utilized to compress the metadata and quality score streams, respectively.
63                              Using annotated metadata and responses to a set of voltage-clamp protoco
64 d protein identifications, project and assay metadata and the originally submitted files.
65 f the software pipelines with user-specified metadata and then visualizing the combined data.
66 ffectively integrate sequence data, assembly metadata, and annotation to support both genome and comm
67 ile format supports storage of raw MSI data, metadata, and derived analyses in a single, self-describ
68 ling fast and convenient access to MSI data, metadata, and derived analysis results stored remotely t
69 encourages researchers to share sequence and metadata, and fosters collaboration between researchers
70 ormation on provenance, authorship and other metadata, and is flexible enough to include any kind of
71 is not traceable to changes in the attendant metadata, and is not linked to any known biases in surfa
72                  Using clinical phenotyping, metadata, and multimodal neuroimaging data from the Alzh
73                                    The data, metadata, and results are stored in a MySQL database.
74 imental data and metadata, and the equipment metadata, and supports the design of database systems to
75  and annotating of the experimental data and metadata, and the equipment metadata, and supports the d
76  scrapes user selected accession numbers and metadata, and then, with one click, users can submit thi
77 g. spatial and temporal series) and improved metadata, and use of metadata.
78 searches of expression images via associated metadata; and new displays that combine image data and t
79 ings of the experiment along with associated metadata; and the Metabolite Page, which provides a list
80 d species classification and enhanced sample metadata annotation.
81                    Summary statistics of the metadata are also presented on the web server showing in
82  evaluated for quality, and how the data and metadata are archived for public use.
83                            All data sets and metadata are available through ProteomeXchange with the
84 ucially, the method does not assume that the metadata are correlated with the communities we are tryi
85 etween the PDB dictionary and the XML schema metadata are described as well as the XML representation
86                 The reconstruction files and metadata are publicly distributed at NeuroMorpho.org.
87                                        These metadata are then validated and permanently linked to ar
88                                              Metadata are typically represented as machine-readable a
89  sequencing, we used a novel approach termed metadata-assisted glycan sequencing (MAGS), in which we
90  to automate the sequencing of glycans using metadata-assisted glycan sequencing, which combines MS a
91 ess repository for geographic and ecological metadata associated with biosamples and genetic data.
92 d, in part, due to the poor structure of the metadata associated with each sample.
93   SRAdb is an attempt to make queries of the metadata associated with SRA submission, study, sample,
94                    Statistical inaccuracy of metadata at any level may propagate to downstream analys
95 ically been limited to titles, abstracts and metadata available in MEDLINE records.
96 s of statistical hypothesis testing, and its metadata-based organization of screening experiments int
97 des multigene query searching with iterative metadata-based search refinement and extensive visualiza
98 etadb in an attempt to make querying the GEO metadata both easier and more powerful.
99 quality and validity of CD spectral data and metadata, both as an aid to data collection and processi
100  of the collection of extensive experimental metadata by the consortium.
101 te and ongoing projects and their associated metadata can be accessed in GOLD through pre-computed li
102                 Herein we exemplify how such metadata can be reported by using a small case study - t
103                      (iii) User-customizable metadata can be visualized on the tree.
104 ization of methods and development of robust metadata can increase data access but are not sufficient
105                Here we demonstrate how this 'metadata' can be used to improve our understanding of ne
106 ngoing projects, along with their associated metadata, can be accessed in GOLD through precomputed ta
107 ngoing projects, along with their associated metadata, can be accessed in GOLD through precomputed ta
108 e required to develop improved mechanisms of metadata capture and exchange.
109  research community, users are able to query metadata categories such as habitat, sample type, time,
110 ression, Pathway Details pages, experimental metadata checklists, experiment summary statistics and m
111 ewer, while biocurators will make use of the metadata-containing XML files and the BioLit database of
112                               Vocabulary and metadata content in the EVS and caDSR, respectively, is
113 lance tools, extensive ontology development, metadata curation and representative genomic sequence id
114 d database-fueled investigations have placed metadata curation in the hands of researchers with littl
115 ion exists and correctly uses or ignores the metadata depending on whether they contain useful inform
116        BioLit is a web server which provides metadata describing the semantic content of all open acc
117  including both the sequences themselves and metadata describing their abundance, assembly, predicted
118  through a series of forms for input of rich metadata describing their projects and samples.
119 quality, consistency and use, MOPED includes metadata detailing experimental design and analysis meth
120                      The database supports a metadata driven, web-based search interface where sequen
121       Analytical and visualization tools for metadata-driven statistical sequence analysis, multiple
122 lation of trees and incorporation of per-tip metadata (e.g. taxonomic labels).
123       A scientific name acts as an important metadata element to link biological information.
124 M density maps, atomic models and associated metadata (emdatabank.org).
125 stic recordings supported by spatio-temporal metadata enable rapid, non-invasive species identificati
126 a framework from which to draw on for future metadata-enabled functional inquiries of the vast viral
127 vides a combination of experimental data and metadata, examples of pre-computed analysis, step-by-ste
128             In particular, semantically rich metadata expressed using ontologies necessary to discove
129 sion profile, opening the door for automatic metadata extraction and facilitating the re-use of plant
130 ility stems from two core concepts: flexible metadata facility and an open web-based architecture.
131           These are integrated with over 312 metadata fields from which 58 are controlled vocabularie
132 ting the content of the archive, an optional metadata file adding information about the archive and i
133 ages that can automatically generate ISA-Tab metadata file stubs from raw XML metabolomics data files
134 rom variant call format (VCF) and associated metadata files.
135 base of normalized SRA human sample-specific metadata following a schema inspired by the metadata org
136 ts, we first extract labels from the textual metadata for each GEO RNA dataset and evaluate the perfo
137 ows seamless access to images and associated metadata for each image.
138 raphical user interface; (iv) collect custom metadata for each titration, analyte, run and batch of r
139 e been collecting bacterial genomes with AMR metadata for several years.
140 es, standardizes and integrates the outbreak metadata for the breadth of NIAID category A-C viral and
141  implement the proposed system, we propose a metadata format known as reverse phase protein array mar
142 /EMBL/GenBank feature table format, we share metadata formats for capillary and next-generation seque
143 ted by conflicting and proprietary image and metadata formats, that impede analyzing and sharing of i
144 catalogs sequencing projects with associated metadata from around the world.
145 nalyzing short read sequences and associated metadata from cancer patients to better understand the h
146 otation and local management of experimental metadata from high-throughput studies employing one or a
147  a retrospective analysis of gene expression metadata from human patients.
148  we applied the framework to the analysis of metadata from the Genomes OnLine Database and produced a
149               Ongoing development includes a metadata harvester to regularize, annotate, and preserve
150                                     Although metadata has been collected for some archival databases,
151 cations, our system performed best using the metadata heuristic (0.54 Precision, 0.89 Recall and 0.68
152 edge obtained from GenBank metadata (i.e. a 'metadata heuristic').
153                                              Metadata, however, contain sensitive information.
154 ic utilizing knowledge obtained from GenBank metadata (i.e. a 'metadata heuristic').
155  settings are often associated with multiple metadata (i.e. diagnosis, genotype, gender, etc.).
156 e-scale genome variation data and associated metadata in a web browser.
157 erties were assessed using behavioral domain metadata in BrainMap.
158  Several nations currently collect telephone metadata in bulk, including on their own citizens.
159                   The experimental condition metadata in M3D is human curated with each chemical and
160 at supports the integration of heterogeneous metadata in model annotations and provides a user-friend
161 OM) standard is widely adopted for image and metadata in radiology.
162                        BioLit delivers these metadata in the form of XML-based article files and as a
163  The information is then correlated with the metadata in the ORDB knowledge base to encode the unstru
164 such as GenBank and examining the geospatial metadata in the record.
165 gether with descriptive, standards-compliant metadata) in the European Nucleotide Archive.
166                          Specifically, these metadata include database identifiers and ontology terms
167                             As a result, the metadata include many synonyms, spelling variants and re
168                                     Pathogen metadata includes information about where and when a pat
169 e binned by their AMR phenotypes, as well as metadata including minimum inhibitory concentrations.
170 ne sets are annotated with several levels of metadata, including community ontologies, while gene set
171 can be queried using a variety of associated metadata, including habitat type and geographic location
172 ions Information Worldwide (CCINFO) provides metadata information on 708 culture collections from 72
173 ntinues to expand with the goal of providing metadata information related to the projects and the org
174 oviding the most comprehensive repository of metadata information related to the projects and their o
175 oviding the most comprehensive repository of metadata information related to the projects and their o
176  Searching and filtering is also possible by metadata information, such as sample details (e.g. speci
177 nformation, even in the absence of extensive metadata information.
178 includes 2D or 3D sets of magnitude data and metadata information.
179 and memory use, records diagnostics, manages metadata, installs dependencies, logs version numbers an
180                   We have parsed all the SRA metadata into a SQLite database that is routinely update
181 g biological networks as well as integrating metadata into them.
182 g methodology, we demonstrate that telephone metadata is densely interconnected, can trivially be rei
183 he availability of computationally tractable metadata is especially important for the effective autom
184  with genomic nucleotide sequence data, this metadata is growing rapidly and becoming a valuable reso
185 s, checklists and ontologies describing what metadata is required for the interpretation and reuse of
186  However, information about each experiment (metadata) is in the format of an open-ended, non-standar
187 , their raw experimental data and associated metadata, maintained by one of the major open-access dat
188 s can be extracted directly from the textual metadata, many of the data available do not contain expl
189 lationships to which gene/protein expression metadata may be overlaid.
190 files, an opportunity exists to capture this metadata more accurately.
191                         We also identify the metadata needed to annotate models to facilitate automat
192 uced a common data format for recordings and metadata of cellular electrophysiology and optical imagi
193 ARQL, the query language for RDF, to capture metadata of files in the TCGA open-access HTTP directory
194  to phylogeographers that rely on geospatial metadata of GenBank sequences.
195 urately has become increasingly important as metadata of many types, often assembled in hierarchies,
196 ure metadata substantially (capturing 90% of metadata on assay and sample levels), is much less prone
197 community, it is often hampered by a lack of metadata or differences in annotation styles of differen
198  metadata following a schema inspired by the metadata organization of the ENCODE project.
199 h-throughput data production, and systematic metadata organization to enable cross-laboratory integra
200  literature text-mining, integrated outbreak metadata, outbreak surveillance tools, extensive ontolog
201 sion data while taking into account multiple metadata parameters; and, finally, to perform a meta-ana
202 rch lifecycle, and then focus on the role of metadata, particularly the ontologies on which the emerg
203 ations, their interactions, and diverse cell metadata, Perturb-seq dramatically increases the scope o
204 ard to store two- or three-dimensional image metadata, plant and root properties and geometries, cont
205 sers to create a local database for pathogen metadata, populate it with data from NCBI, easily query
206  user-provided sequence data with associated metadata, predictions of novel variant proteins, annotat
207  the accuracy of our predictions with sample metadata provided by the authors.
208 nsive microbiome data sets and corresponding metadata provides a vast, underused resource for the mic
209 line has its own page containing descriptive metadata, quality information, and links to archived ass
210 integrated framework to query and access SRA metadata quickly and powerfully from within R.
211 forces investigators to infer and to compare metadata rather than directly combining data from differ
212  upload marker gene sequences and associated metadata; reads are quality filtered and assigned to bot
213 ed States and abroad, is that communications metadata receives substantially less protection than com
214 dividual namespace is created, and extensive metadata recorded.
215                                      All GEO metadata records as well as the relationships between th
216 Data Standards Repository (caDSR) provides a metadata registry for common data elements.
217 bute-value (EAV) model-to describe uniformly metadata relating to individual databases.
218                    CAMERA collects and links metadata relevant to environmental metagenome data sets
219 ntal replication, sequencing depth, data and metadata reporting, and data quality assessment.
220                          BDSS then queries a metadata repository for curated data transfer mechanisms
221     We have continued to co-develop data and metadata representation formats with our collaborators f
222 ide sequences, they do not accession all the metadata required for ecological or evolutionary analyse
223 A in situ hybridization images and ancillary metadata revealing the patterns of gene expression of 81
224            The Gemina web interface provides metadata selection and retrieval of a pathogen's; Infect
225 s, we constructed a 1,133-HCC transcriptomic metadata set and validated findings in a publically avai
226 tope investigations and the examination of a metadata set we conclude that the lower limit for nitrif
227 e three components of any given input, i.e., metadata, short reads and quality score strings, are fir
228 inment hierarchy for arrays, imposition of a metadata standard based on a newly proposed MIDAS format
229 ng with improving study design, data access, metadata standardization, and analysis tools, will enabl
230 n with controlled vocabularies and, further, metadata standards for data representation.
231 ompatible storage media, without any type of metadata structure, and thus with no standard facility w
232 nmrML2ISA reduces the time needed to capture metadata substantially (capturing 90% of metadata on ass
233                The Assembly database reports metadata such as assembly names, simple statistical repo
234                                              Metadata such as tissue type, growth conditions and deve
235 combination of a surname with other types of metadata, such as age and state, can be used to triangul
236 be annotated using aggregation of structured metadata, such as seasonal distribution, geographic loca
237    ENCODE data can also be retrieved using a metadata system that captures the experimental parameter
238 nces based on standardized gene, protein and metadata terms.
239               Our analysis shows only 26% of metadata text contains information about gender and 21%
240  improve access to ENCODE data by relying on metadata that allow reusability and reproducibility of t
241 iques have created vast stores of images and metadata that are difficult to organize, search, process
242 owse and search the ENCODE data based on the metadata that describe the assays as well as summaries o
243 expression, higher-order phenotypic data and metadata that describe the protocols, processing and the
244 yotic organisms with three major clusters of metadata that represent pathogens, environmental isolate
245 nizations, using machine- and human-readable metadata that users can query to see the status of their
246 tionships between measured data elements and metadata - the contextual descriptors that define the pr
247 the diverse variant annotations and genotype metadata, there is a need for fast, flexible methods ena
248 riptors from sequence records then map these metadata to a controlled vocabulary.
249 llow diverse source of experimental data and metadata to be systematically incorporated into the mode
250 led approach that combines a network and its metadata to detect communities more accurately than can
251 roach highlights the potential for molecular metadata to inform highly-multiplexed single-cell analys
252  univariate statistics by using the clinical metadata to inform the choice of patient groupings.
253 tandards, formats and protocols for data and metadata to make it easier for individuals and organisat
254 tes plant phenotypic data with environmental metadata to support experimental designs and to gain a m
255 ce provides a 2D histogram for user-selected metadata types and mapping of geolocated entries.
256 includes a PostgreSQL database that captures metadata useful for disease outbreak investigations, and
257 f arbitrary subsets of files, based on their metadata, using web standard languages.
258 ull text search functionality makes querying metadata very flexible and powerful.
259 LD is a manually curated, quality-controlled metadata warehouse.
260 cific dose estimates (SSDEs) using image and metadata was developed and validated in 16 examinations
261 ome sequencing (WGS) analysis and geographic metadata, we traced the origins of Salmonella Bareilly i
262                                          The metadata were manually curated to ensure annotation cons
263 ts archiving of raw data, processed data and metadata which are indexed, cross-linked and searchable.
264                                         Such metadata, which are necessary for performing database co
265 iating functional annotations and phenotypic metadata with each protein, we could compare our protein
266 ing ecologically and evolutionarily relevant metadata with publicly archived sequence data in a struc
267 enotype and phenotype together with clinical metadata within a machine-learning framework, we found s

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