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1 ealth Retirement Study and Kaiser Permanente database).
2 ffer some lessons on what makes a successful database.
3 nto Regional RescuNET Epistry cardiac arrest database.
4 he 2006-2010 MarketScan commercial insurance database.
5 Retrospective review of a prospective database.
6 fied in the United Network for Organ Sharing database.
7 he Taiwan National Health Insurance Research Database.
8 MarketScan, a large health insurance claims database.
9 , which we share in an open-access annotated database.
10 d from scientific literature and the UniProt database.
11 reate a comparative, multi-dimensional graph database.
12 ved from the Quebec Congenital Heart Disease Database.
13 cohort, linked to the Norwegian Prescription Database.
14 fective number of sequences) in the original database.
15 was analyzed within The Cancer Genome Atlas database.
16 edical records in a prospectively maintained database.
17 stimated internally from the Utah Population Database.
18 ding ratios were quantified against a normal database.
19 reening criteria to a comprehensive chemical database.
20 nters via a Research Electronic Data Capture database.
21 apy on survival by using the National Cancer Database.
22 re identified in the Nationwide Readmissions Database.
23 ta, using the Rochester Epidemiology Project database.
24 49 guideline authors using the Open Payments database.
25 participating in the Nationwide Readmissions Database.
26 dentified from a national hospital admission database.
27 corporeal Life Support Organization Registry database.
28 utcome and Resource Evaluation Adult Patient Database.
29 dexed in the Science Citation Index Expanded database.
30 rom a single-center prospectively maintained database.
31 for Ebola virus disease were captured in the database.
32 view protocol was registered in the PROSPERO database.
33 to 2014 were accessed from the NIH RePORTER database.
34 Here we describe an update of the database.
35 Surveillance, Epidemiology, and End Results database.
36 the national United Network of Organ Sharing database.
37 ed from the Medical Expenditure Panel Survey database.
38 RNA (lncRNA) LINC00305 by searching the GWAS database.
39 January 31, 2013, were queried from the OPTN database.
40 extracted from the French kidney transplant database.
41 ed by use of a newly developed comprehensive database.
42 genomic database or multi-layered annotation database.
43 American Hospital Association Annual Survey database.
44 sis of existing transcriptomic and proteomic databases.
45 es do not have detectable homologs in public databases.
46 led to the expenential growh of the sequence databases.
47 n sequence similarity searches and available databases.
48 gh partner model organism databases and meta-databases.
49 ludes links for each entry to bioinformatics databases.
50 which was assessed via national health care databases.
51 ntuitive interface to genetic and phenotypic databases.
52 s (10 specimens) of woodborers not in public databases.
53 and classified functionally based on protein databases.
54 opic global health funders, and from funding databases.
55 lity of PTIR spectra with far-field infrared databases.
56 lation predictions, extracted from published databases.
57 7 using MEDLINE, EMBASE, Scopus and Cochrane databases.
58 n genetic databases and seven model organism databases.
59 f 1382 ophthalmologists were matched in both databases.
60 ss-links using non-restricted whole proteome databases.
61 l annotation of metabolites not described in databases.
64 inst the independent MESSIDOR 2 and E-Ophtha databases achieved a 0.94 and 0.95 AUC score, respective
66 dies, developing reference variant-phenotype databases, adopting phenotype description standards, and
67 Records (EMR) with large electronic imaging databases along with advances in deep neural networks wi
68 Zealand Intensive Care Society Adult Patient Database and a nested cohort analysis of a single center
69 llance, Epidemiology, and End Results (SEER) database and data from the 10 clinical trials of the All
70 specific OTU-generation strategy, reference database and downstream analysis methods selection can h
71 ts Eye and Ear Infirmary Ocular Inflammation Database and electronic medical records from March 1, 20
72 ta from the Taiwan National Health Insurance database and including 91330 patients with nonvalvular a
73 ing data from the State Emergency Department Database and State Inpatient Database of 3 US states (Ca
75 Statistics Canada to the Canadian mortality database and to annual income tax filings through 2011.
76 es from PubMed, Cochrane Library, and Scopus databases and extracted data from 24 qualified RCTs.
81 979-January 2017), Embase (1974-2017 week 1) databases and the Science Citation Index and Social Scie
82 ry-long observations on masting (the MASTREE database) and data on the Northern Atlantic Oscillation
83 utations in the Exome Aggregation Consortium database, and absence of previous documentation of genot
84 SI database), Physiotherapy Evidence (PEDRO) database, and ClinicalTrials.gov for the period between
85 al System Online via PubMed, Excerpta Medica Database, and Cochrane Central Register of Controlled Tr
87 Web of Science, Scopus, PubMed, and ProQuest databases, and hand searched relevant websites, for arti
88 sthma in a birth cohort using administrative databases, and we determined the impact of adjusting for
89 models (stoichiometry matrices) and pathway databases are extremely useful, they cannot describe the
90 oject since the debut Nucleic Acids Research database article in 2014, including specific areas of ex
91 approximately 20,000 compounds in the LINCS database as either having published evidence of antiepil
94 600) BRAF mutations were identified from NGS databases at three large molecular genetics reference la
97 ctive analytics using a cloud-based columnar database built on Dremel to perform information compress
100 nalysing intra-cranial EEG recordings from a database comprising 16 patients who have undergone epile
101 at of natural variants, as found in the ExAC database, confirms that mutations in the N-terminal end
102 or information derived from allele frequency databases, consequence prediction algorithms, or genomic
106 e model was populated using an institutional database containing all PDs performed 2002 to 2012 at a
107 en's Hospital, and Yale University Hospital) database containing clinical and electrographic variable
109 enomics Database Resource is a collection of databases covering 170+ eukaryotic pathogens (protists &
111 he computational biology approach and the BP database developed in this study could contribute to a b
112 System Online (MEDLINE), the Excerpta Medica Database (EMBASE), the Cumulative Index to Nursing and A
113 by searching the Spektraris online spectral database, enabled us to formulate a biosynthetic pathway
114 e, ADPriboDB is the first publicly available database encapsulating ADP-ribosylated proteins identifi
115 and Utilization Project National Readmission Database encompassing 722 US hospitals was used to ident
116 the United Nations [FAO Statistics Division Database (FAOSTAT)], the Australian government, academia
118 this gap, we have significantly expanded the database for comparative genomics studies in these bacte
121 We searched MEDLINE, Embase, and LILACS database for studies published before Jan 1, 2017, in En
122 ould be used as a substitute in building the database for the geographical traceability of milk.
125 his pipeline, we generated metabolic pathway databases for 22 species and identified metabolic gene c
126 arch 2017 in the PubMed and Cochrane Library databases for English-language original research investi
130 We searched PubMed, EMBASE and the Cochrane databases for relevant RCTs and calculated pooled OR for
136 ontrol individuals from the European Genetic Database from March 29, 2006, to April 26, 2013, in Nijm
137 his new OMA 2.0 algorithm is used in the OMA database from the March 2017 release onwards, and can be
139 conducted a comprehensive search of multiple databases from 1996 to April 25, 2016, for studies that
140 e for CLI were included from State Inpatient Databases from Florida (2009 to 2013), New York (2010 to
145 d miRNAs were predicted using five different databases; genes encoding membrane transporters and thei
146 on of species-unique barcodes reduces as the database grows and that 'false' species-unique barcodes
149 d on the lowest common ancestors of multiple database hits for each query sequence, and further class
152 study, and 246 were present in known lncRNA databases; however, the majority of the lncRNAs that hav
154 ng/Standard Transplant Analysis and Research database identified 12,958 patients listed for liver tra
157 he majority of the latest two Immune Epitope Database (IEDB) weekly automated benchmark datasets.
159 endocarditis identified from mandatory state databases in California and New York State between Janua
160 ritical addition to the pre-existing variant databases in pursuing genetic studies of Korean individu
161 sing the "National Health Insurance Research Database" in Taiwan, a total of 352,656 AF and 352,656 n
162 Central Register of Controlled Trials (from database inception to November 2015), as well as the ref
164 interventions to usual care Seven electronic databases, including British Nursing Index, MEDLINE, CIN
165 ico-chemical properties of sweeteners in the database indicates that the structure of most potent swe
166 ge amount of data, we have enhanced data and database infrastructure, and we have implemented many ne
167 The Alignable Tight Genomic Clusters (ATGCs) database is a collection of closely related bacterial an
171 value of a multifunctional global laboratory database is far reaching, with uses including virtual bi
173 on intronless genes are now included in the database; (iv) a statistical summary of global gene stru
175 commercial and Medicare supplemental claims databases linked to adjudicated shock events from remote
177 final analysis, although at the time of the database lock, 15 patients were still in follow-up for o
178 o be included in the Mayo Clinic amyloidosis database maintained by the Department of Hematology.
180 to query the "metabolic in-silico expansion" database (MINE DB) to obtain possible molecular structur
181 ified using standards, and the mass spectral database mzCloud was used to assess the feasibility of t
182 ODS AND A single-center continuous flow-LVAD database (n=354) was used to identify patients with ches
183 Data were obtained from the Taiwan Cancer Database, National Health Insurance Claims Data, the Nat
184 with the European Clinical Trials (EudraCT) database (no 2009-014907-29) and with the International
186 n land cover and childhood DD, we compiled a database of 293,362 children in 35 countries with inform
187 ency Department Database and State Inpatient Database of 3 US states (California, Florida, and Nebras
189 edical records were included in the clinical database of a large quaternary referral center for genom
192 data from the Manitoba Bone Density Program database of all women and men 40 years of age or older i
196 ort study was performed using the electronic database of Clalit Health Services, the largest health c
197 n type on mercury wet deposition using a new database of individual rain events spanning the contiguo
198 g) from the second harvest of the Very Large Database of Lipids study to assess for the first time th
199 No mutants of these genes exist in a large database of parasite sequences from uncultured clinical
200 ent a comprehensive overview with an indexed database of published systematic reviews in allergy epid
201 The local study combines these models with a database of synthetic storms in Ocean County and estimat
202 ter of Controlled Trials (CENTRAL), Cochrane Database of Systematic Reviews, Web of Science (ISI data
204 was extracted from a prospectively assembled database of VGAM cases managed at a single referral cent
205 ons using, as study materials, transcriptome databases of astrocyte exposed to well-known activators
207 ionally, both correlation analysis of public databases of human breast carcinoma and IHC analysis of
209 uestion, we built an up-to-date and complete database on avian colour polymorphism based on the exami
210 wing PRISMA guidelines, we searched multiple databases on Sept 1, 2016, with the terms: "human" AND "
212 We show that when applied to the MATADOR database, our approach based on node neighborhoods yield
213 otal of 107049 beats from MIT-BIH arrhythmia database, our method has achieved average sensitivity, s
214 ced liver injury enrolled into a prospective database over a 10-year period that had undergone liver
215 e of Systematic Reviews, Web of Science (ISI database), Physiotherapy Evidence (PEDRO) database, and
220 exposure metabolomics combined with tailored database queries and cognitive computing for comprehensi
221 An epidemiological analysis of an all-payer database recording hospitalizations during 2013 in the U
222 ool pupils drawn from 564 886 National Pupil Database records of adolescents aged 15 years, living in
225 hly decentralized across thousands of online databases (repositories, registries, and knowledgebases)
226 analysed using a Direct Numerical Simulation database representing the corrugated flamelets (CF), thi
228 neural circuits, and provide new, integrated database resources and approaches to explore astrocyte d
232 version of the Physiotherapy Evidence-Based Database scale (range, 0-12, with 12 indicating best qua
234 , MPA Portable now supports state-of-the-art database search engines and a convenient command line in
239 Analysis of human primary CRC tumor patient databases showed a positive correlation between KCNQ1:KC
240 from Genomics of Drug Sensitivity in Cancer database shows the ability of the proposed algorithms to
242 d proliferation of bioinformatics resources (databases, software tools, training materials etc.) make
246 mapping phosphorylation sites on sPPases, a database survey of various proteomes identified a number
247 Fs), our analysis of The Cancer Genome Atlas database (TCGA) found that patients with lower expressio
251 hospitals in the California state inpatient database that performed appendectomies from January 1, 2
252 liver, and queried against a transcriptomic database that quantifies changes in gene expression in r
253 onors in the United Network of Organ Sharing database that were transplanted from January 1, 2007, to
254 2 years, we present here the 'golden set' of databases that have consistently served as authoritative
255 ture search was made in different electronic databases; the review was systematically made to get con
256 onomy assigned via the Human Oral Microbiome Database, then analyzed at the community level with alph
261 s observational study used an administrative database to measure the incidence of ASD among children
263 lable chemical, metabolic, and environmental databases to assign confidence levels to annotation resu
264 cial Policy and Practice, Embase and MEDLINE databases up to July 6, 2016, for quantitative studies o
266 search and browse various components of the database, visualize curated baseline expression of pathw
269 ng and Research Cooperative System inpatient database was queried for patients' >/=18 years who under
270 retrospective cohort study, an institutional database was searched for abdominal and pelvic CT studie
271 Materials and Methods A systematic search of databases was performed for publications on MR elastogra
274 the Trauma Audit and Research Network (TARN) database, we analyzed ASDH cases in the adult population
275 he Taiwan National Health Insurance Research Database, we analyzed data from 14,715 patients with PCa
281 METHODS AND From Swedish national registry databases, we used a corelative design with full sibling
282 nd the Decipher genomic resource information database were searched for published reports between 201
285 erials and Methods PubMed and Google Scholar databases were searched for studies in which rates of im
291 ith this information an online Mango RNA-Seq Database which is a valuable genomic resource for molecu
292 dy, we used the Rescu Epistry cardiac arrest database (which contains records of every cardiac arrest
293 rticles and substances present in the USEtox database, while large differences were observed with CTP
294 carcinoma from the 2006-2012 National Cancer Database who received neoadjuvant chemoradiotherapy foll
296 ast conducted in December 2016 in the PubMed database with no date restrictions, but were limited to
297 nmental contaminants and a custom exact mass database with predicted transformation products (TPs).
298 ng unknown reads from matches to a reference database with RTnS reads enables rapid and confident spe
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