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1 ea of bioinformatics can be called 'bioimage informatics'.
2 osphorylation of Shp2 (Ptpn11 - Mouse Genome Informatics).
3 aterials science, biomaterials, and clinical informatics.
4 rs access to, and training in, proteogenomic informatics.
5 or a very important problem in translational informatics.
6 atment, and for extending the field of image informatics.
7 ased healthcare and genotype-meets-phenotype informatics.
8 nisms demonstrate the importance of bioimage informatics.
9 applications in drug discovery and molecular informatics.
10 gnancy and arrhythmias, quality of life, and informatics.
11 important component of clinical microbiology informatics.
12 Quantitative Insights Into Microbial Ecology informatics.
13 ignificance of these advances for biomedical informatics.
14 r a variety of technologies from medicine to informatics.
15 at can be applied across protein engineering informatics.
16  of growth in PSP are in disease and isoform informatics.
17 search is a defining challenge in biomedical informatics.
18 ironment, and eventually arriving in medical informatics.
19 n and 1-2 d for data analysis and downstream informatics.
20                        New technological and informatics advancements in population genomics are bein
21                     Recent technological and informatics advances have led to unprecedented volumes o
22            We sought to determine whether an informatics algorithm applied to the EHR could electroni
23                                           An informatics algorithm can successfully identify both kno
24                              We developed an informatics algorithm to search the EHRs of patients age
25 rm effect on productive BKPyV infection, our informatics analyses indicate that the preferred target
26                                              Informatics analyses reported here show that RNA granule
27                                   Subsequent informatics analyses revealed a network of injury-respon
28                             Using integrated informatics analyses, we constructed putative regulatory
29 ts with the prediction of vaccine targets by informatics analysis of genome sequences.
30                              An unsupervised informatics analysis revealed that immune response and i
31 he development of experimental protocols and informatics analysis tools is helping to reduce sequenci
32 abilities, approaches, and tools of bioimage informatics and apply them to advance their own studies.
33 s as single-photon light sources for quantum informatics and biolabels for real-time monitoring of si
34 s, previous knowledge from proteomic pathway informatics and cell signaling models to delineate key t
35                Here we use mass spectrometry informatics and data visualization approaches(11-13) to
36        The workflow integrates group theory, informatics and density-functional theory to uncover des
37 he past decade, its application in molecular informatics and drug discovery is still limited.
38 of compounds have a long history in chemical informatics and drug discovery.
39 wing for deep characterization for molecular informatics and drug discovery.
40 s between entomology and disciplines such as informatics and electrical engineering.
41                                This combined informatics and functional approach has allowed the char
42                                Comprehensive informatics and functional studies revealed a compartmen
43 tegrated with the other data in Mouse Genome Informatics and interconnected with other databases, pla
44 als, the International Journal of Functional Informatics and Personalized Medicine and the Internatio
45 sign and International Journal of Functional Informatics and Personalized Medicine, IEEE 7th Bioinfor
46 ta may be leveraged with novel technologies, informatics and practical clinical paradigms to apply th
47 netic screens has created the need for clear informatics and statistical approaches to deal with the
48                                     Clinical informatics and structured accessible secure data captur
49 , EBI's Ontology Working Group, Mouse Genome Informatics and the Monarch Initiative among others, and
50 e for pipetting, non-trivial tasks for which informatics and visualization tools can prevent costly e
51 tervention combining professional education, informatics, and financial incentives reduced the rate o
52 d here is a framework for the unification of informatics- and physics-based data associated with DNA,
53 ecognition algorithms are useful in bioimage informatics applications such as quantifying cellular an
54                           Here we present an informatics approach based on Boolean logic to identify
55 derived peptides were predicted by an immuno-informatics approach based on the HLA-A*02 binding motif
56 derived peptides were predicted by an immuno-informatics approach based on the HLA-A2 binding motif.
57                                          The informatics approach increased the number of products co
58            This new translational biomedical informatics approach supports not only detection of new
59                              We introduce an informatics approach that uses publicly available data t
60                                           An informatics approach to evaluating combined chemical exp
61                                    To use an informatics approach to examine the association of ADT a
62 dy is to optimize an integrated experimental/informatics approach to more confidently characterize th
63                             A lipid-mediator informatics approach was employed to systematically iden
64                           Here, employing an informatics approach, we define novel families of T6S pe
65 88 individuals with prostate cancer using an informatics approach.
66 features it produces regulate the downstream informatics approach.
67                                          Two informatics approaches (subtype categorization to define
68 al data that are amenable to analysis by new informatics approaches alongside conventional statistica
69  in high throughput omics workflows, and new informatics approaches are necessary for processing the
70                               Thus, bioimage informatics approaches are needed to rapidly and objecti
71  genomics researchers utilize sequence-based informatics approaches or three-dimensional-structure-ba
72           This availability enables big data informatics approaches to be used to study the spread an
73 demiology, and toxicology communities to use informatics approaches to improve their research workflo
74 ch of the owner, using mass spectrometry and informatics approaches.
75 tions in vaccinology using computational and informatics approaches.
76     The growth of electronic publication and informatics archives makes it possible to harvest vast q
77 s in analytical chemistry, microbiology, and informatics are breaking down the barriers to a fuller a
78 cly available software packages for bioimage informatics are listed for further reference.
79 ontrols, reference materials, statistics and informatics are required for a robust measurement proces
80  individual genes permits the development of informatics-assisted methods for the selection of candid
81                       We utilize an unbiased informatics based machine learning approach to classify
82                                   We used an informatics-based approach to develop a transcriptional
83 To address this issue, we have undertaken an informatics-based approach to understand the genetic and
84 grating data-processing software with larger informatics-based data management platforms.
85  We combine available experimental data with informatics-based immunological predictions to help desi
86 esent study, HITS data were compared with an informatics-based list of putative substrates of the per
87 r hope is to stimulate experimental tests of informatics-based predictions for TGFbeta signaling, as
88 thus impractical in high throughput studies, informatics-based statistical learning approaches can be
89                                  Comparative informatics between human and mouse data sets identified
90 entific workflows in bioinformatics, medical informatics, biomedical imaging and data analysis, there
91 eating entirely new possibilities for cancer informatics by enhancing data discovery and retrieval.
92                                   Additional informatics can conceivably be developed to mine and int
93 edicine, European Society of Medical Imaging Informatics, Canadian Association of Radiologists, and A
94 lysis, computational drug discovery, medical informatics, cancer genomics, and systems biology.
95 yside and Fife were identified by the Health Informatics Centre (HIC) and invited to take part in the
96 All data were anonymised according to Health Informatics Centre standard operating procedures.
97  provided by the University of Dundee Health Informatics Centre, who have access to health-related po
98 The increasing omics data present a daunting informatics challenge.
99 s paper provides an overview of the bioimage informatics challenges and approaches in image-based stu
100  types and huge data volume poses formidable informatics challenges for base calling, read alignment
101                             One of the major informatics challenges is providing tools that link meta
102 his technique also poses many biological and informatics challenges to extracting meaningful biologic
103 ge data sets that analysis poses significant informatics challenges, particularly for research groups
104 scientific, infrastructural, logistical, and informatics challenges.
105 ddressing similarly complex data science and informatics challenges.
106 tute of Health Research Critical Care Health Informatics Collaborative was studied.
107  Research Centre, as part of the NIHR Health Informatics Collaborative.
108                                  The Medical Informatics Committee of the American College of Physici
109     A central challenge for the biodiversity informatics community is to provide the means to share a
110 l for biodiversity science, the biodiversity informatics community must address several critical chal
111 e present the recent efforts by the bioimage informatics community to tackle these challenges, and di
112 r has become a critical tool for the pathway informatics community, detecting thousands of errors and
113 ents and practicing radiologists outside the informatics community.
114                              One goal of the informatics component of our project has been to generat
115 y dissipation in the memory and other binary informatics components are insignificant compared to the
116 to fundamental RNA-seq molecular biology and informatics concepts.
117 at established the International Arabidopsis Informatics Consortium (IAIC).
118  System (WheatIS) and the International Rice Informatics Consortium (IRIC) to establish Web-based sin
119  benefits include reduced infrastructure and informatics costs in managing and analyzing large sequen
120 lation hosted by the UIC Center for Research Informatics (CRI) at galaxy.cri.uic.edu.
121 es, parallel acquisition of large-scale drug-informatics data provides significant opportunities to i
122 tch up with an avalanche of freely available informatics data.
123 t cardiovascular disease care innovations in informatics, data uses, patient engagement, continuous l
124 ion of clinical approach with a more formal, informatics-derived approach to characterization and a B
125 which can be easily parsed due to accessible informatics-derived image analysis tools, can provide bo
126 with a speculative discussion of what future informatics developments may hold for cognitive neurosci
127 ional setting for teaching in the bio/health informatics disciplines.
128 rt 1 of this review on the basics of imaging informatics discussed the elements that make up a pictur
129 chers unprecedented opportunities for health informatics, disease-risk prediction, actionable clinica
130   Here we review the increasingly large role informatics-driven approaches are playing in such effort
131                                   Decades of informatics-driven research have relied on expert-design
132                        Rapid developments in informatics, emphases on large sample collection for gen
133 comparative questions is an early version of informatics-enabled CER familiar to oncologists.
134                        An updated version of informatics-enabled CER relies on EHR-derived structured
135              ChemBank is a public, web-based informatics environment developed through a collaboratio
136 atory networks (GRNs) and thereby provide an informatics environment to study the effects of interven
137 ons on potential solutions based on bioimage informatics, especially automated image computing.
138  allowing biomedical scientists with minimal informatics expertise to remotely call, view, and furthe
139 lp readers, including those without bioimage informatics expertise, understand the capabilities, appr
140  by individuals or groups that lack clinical informatics expertise.
141 erstanding of the mammalian genome thanks to informatics, expression profiling and sequencing of the
142 ll status of available software for bioimage informatics, focusing on open-source options.
143                 In the paradigm of materials informatics for accelerated materials discovery, the cho
144                             The i2b2 Center (Informatics for Integrating Biology and the Bedside) has
145 fragment mapping based on the Protein-Ligand Informatics force field (PLIff).
146     This paper introduces the protein-ligand informatics "force field", PLIff, which begins to addres
147                The entire biomedical imaging informatics framework consists of cell detection, segmen
148 developed a statistical-thermodynamics-based informatics framework, which allows us to probe for the
149                        The cancer Biomedical Informatics Grid (caBIG(R)) Life Science BAM (LS BAM) pr
150 ctor Machine (PUGSVM) is a cancer Biomedical Informatics Grid (caBIG) analytical tool for multiclass
151 l-scale effort, called the cancer Biomedical Informatics Grid (caBIGtrade mark), to develop a federat
152 twork (DDN) is a caBIG(R) (cancer Biomedical Informatics Grid) analytical tool for detecting and visu
153                           Here we develop an informatics-guided ab initio approach to accelerate the
154 f metabolite databases, and progress in (bio)informatics has made agnostic approaches more attractive
155 ng-based analyses, other areas of biological informatics have not yet adopted them.
156               Advances in DNA sequencing and informatics have revolutionised biology over the past fo
157 ncluded GeneWeaver, String, and Mouse Genome Informatics identified a total of nine additional candid
158 gnosis (CAD), Computer Applications-General (Informatics), Image Postprocessing, Informatics, Neural
159 of North America and the Society for Imaging Informatics in Medicine conferences (November 2016-June
160 iety of Radiology, RSNA, Society for Imaging Informatics in Medicine, European Society of Medical Ima
161 ter-based image analysis system (Imaging and Informatics in ROP [i-ROP]) was developed using a set of
162           Part 2 will focus on the impact of informatics in the radiology reading room and on recent
163  control the activity of the enhancers using informatics, in vivo occupancy by TFs that regulate cort
164    In summary, this novel web server (cancer.informatics.indiana.edu/mmia) will provide life science
165                The development of biological informatics infrastructure capable of supporting growing
166  it is accompanied by an equal investment in informatics infrastructure.
167 ped, many with clinical decision support and informatics interoperability, but few access patient inf
168  evaluate the impact of incorporating health informatics into the management of SAB via a pharmacist-
169                                              Informatics is a broad field encompassing artificial int
170                                      Imaging informatics is a distinct subspecialty of radiology that
171                                 Biodiversity informatics is an emerging field that applies informatio
172         Computational vaccinology or vaccine informatics is an interdisciplinary field that addresses
173        A major challenge facing biodiversity informatics is integrating data stored in widely distrib
174                             Clinical pathway informatics is regarded as an efficient way to solve a s
175 ents in the field and relevant topics (e.g., informatics, laboratory science, emerging topics) to mai
176               We have devised a chemocentric informatics methodology for drug discovery integrating i
177                   We survey a broad range of informatics methods and tools that are available to the
178                                     Further, informatics methods are presented to confidently filter
179 vey emerging computational and translational informatics methods capable of constructing a single sub
180 egration with the other data in Mouse Genome Informatics (MGI) and interconnections with other databa
181  genetic and phenotypic data in Mouse Genome Informatics (MGI) and made readily accessible to many ty
182 GD) is a major component of the Mouse Genome Informatics (MGI) database resource and serves as the pr
183      Integration with the other Mouse Genome Informatics (MGI) databases places the gene expression i
184 are formally represented in the Mouse Genome Informatics (MGI) resource.
185 MGD is a major component of the Mouse Genome Informatics (MGI) resource.
186  through integration with other Mouse Genome Informatics (MGI) resources and interconnections with ma
187 ase and three data types from Mouse Genomics Informatics (MGI).
188 r applications to bioinformatics and medical informatics, namely covariate adjustments.
189  to biologist and therapist to get real time informatics needed to evaluate death process, diseases p
190 tool for AD management program to obtain bio-informatics needed to optimize therapeutics for neurodeg
191 f the challenges in genomics derive from the informatics needed to store and analyze the raw sequenci
192 General (Informatics), Image Postprocessing, Informatics, Neural Networks, Neuro-Oncology, Oncology,
193                 Thus, a core question in the informatics of drug design is what type of molecular sim
194 ntent super-resolution nanoscopy and imaging informatics of the nuclear organization of epi-marks.
195 nalytical framework-the Disease Surveillance Informatics Optimization and Simulation (DIOS) framework
196  hardware, expensive apparatus, and advanced informatics or can only be used in single experimental m
197 ed to explore the role of healthcare system, informatics, organizational and practice-related factors
198                                  A number of informatics packages have been developed for this purpos
199 em, focusing on 4 major domains: science and informatics, patient-clinician partnerships, incentives,
200 ication of NGS-based genetic testing from an informatics perspective.
201 enes, which were processed with an automated informatics pipeline and manually annotated.
202 d as a robust component in a high throughput informatics pipeline for large-scale brain mapping proje
203 e light sheet instrumentation and an imaging informatics pipeline of five steps to achieve mapping of
204 tilizing an in-house assembly and analytical informatics pipeline.
205 ughput whole brain imaging, and an automated informatics pipeline.
206 of 334,652 SNVs that were consistent between informatics pipelines yet inconsistent with haplotype tr
207 also developed and benchmarked optimized PDX informatics pipelines, and these yielded robust assessme
208 mechanism, not currently factored by genomic informatics pipelines, is relevant to diagnosis and prec
209 uestionnaires on atopy were acquired through informatics platform (AllergyCARD).
210                              Pathology Image Informatics Platform (PIIP) is an NCI/NIH sponsored proj
211                                    Using our informatics platform pHinder, we identified a triad of b
212 s the most comprehensive data repository and informatics platform related to the laboratory rat, one
213 rain Institute with access to Brain-CODE, an informatics platform that hosts a multitude of biologica
214 r advanced imaging tools and clinical trials informatics platforms.
215                                Understanding informatics principles is important because these princi
216  of time series is beneficial for biomedical informatics problems such including, but not limited to,
217 resource created by the Genetic Resource and Informatics Program at the Oregon National Primate Resea
218 is is a first report, using our MotifModeler informatics program, to simultaneously identify transcri
219  blended Master's degree module for a Health Informatics programme and a fully online distance learni
220 unity effort that combines modern bioimaging informatics, recent leaps in labeling and microscopy, an
221                  While mainstream biomedical informatics research focuses on developing more accurate
222 d noncoding RNAs absent from The Arabidopsis Informatics Resource 10 build.
223 vidual investigator's laboratories and major informatics resource centers such as Ensembl, UniProt an
224 vidual investigator's laboratories and major informatics resource centers, such as Ensembl, UniProt a
225 idual investigators and downloads from major informatics resource centers.
226 are driving the development of shared online informatics resources by gaining access to data where it
227                         Web 2.0 and advanced informatics resources will be part of physician lifelong
228 on and sustainability of international mouse informatics resources), with a remit to assess the techn
229                                 Based on the informatics results, we analyzed the respiratory functio
230                 Genomics is a sequence-based informatics science and a three-dimensional-structure-ba
231 experimental miRNA researchers, but also for informatics scientists developing the next-generation mi
232 hly curated, community-oriented database and informatics service to researchers focused on the crop p
233                                   Structural informatics shows that the designed packing motif recurs
234         Although the procedure assumes basic informatics skills, these tools assume little to no back
235  chromatographic data increasingly relies on informatics solutions that attempt to predict an analyte
236 ation studies, there is currently a need for informatics solutions that facilitate the integration of
237 wn vision for future development of bioimage informatics solutions.
238 sciplinary CI team consisting of clinicians, informatics specialists, and analysts spent 6 weeks asse
239 re supporting data sharing, data management, informatics, statistical methodology, and research ethic
240                             In recent years, informatics studies have predicted several new ways in w
241                                              Informatics studies suggest that related catalytic domai
242                LIMITATION: This was a 1-year informatics study conducted at a single hospital subspec
243  to invest significant resources into custom informatics support for genome sequencing projects remai
244                Sipros/ProRata is a versatile informatics system that enables identification and quant
245  computational challenge, requiring powerful informatics systems and bioinformatics expertise.
246 ta may be kept securely under governance and informatics systems that are fit-for-purpose and appropr
247 hat an opportunity exists to employ hospital informatics systems to improve the prescription of antib
248 odology and the development of interoperable informatics systems, which has been recognized by the Na
249  and improve patient safety and quality, and informatics systems.
250 e range of topics in bioinformatics, medical informatics, systems biology and intelligent computing.
251  metabolomics, lipidomics and phenomics with informatics techniques to provide new insights into card
252 in public health toward a focus on including informatics, technologic innovation, molecular epidemiol
253 l modelling, diagnostic, communications, and informatics technologies can identify and report hithert
254 addressed is how human-machine interface and informatics technologies could combine to transform the
255                                 With current informatics technology and machine learning algorithms,
256 entary and potentially transformative health informatics technology for research and patient care.
257            Advances in image acquisition and informatics technology have led to organism-scale spatio
258 nalysis, the use of social media and medical informatics that will further advance clinical medicine
259                            Modern biomedical informatics theory and practice has demonstrated the dis
260  systems (PACS) are a major focus of imaging informatics, there are many other ways in which technolo
261              In addition, the advancement of informatics to allow the intersection of multiple comple
262                 These findings were shown by informatics to be relevant to the head morphogenesis of
263 ervention comprising professional education, informatics to facilitate review, and financial incentiv
264        Here, we call for a more formal waste informatics to organize and standardize waste management
265 ecades, chemoinformatics, the application of informatics to solve problems in chemistry, has increasi
266 ssical mechanics simulations, and structural informatics to understand this aspect of ion partitionin
267                        After validation, the informatics toolkit was used to populate an exposure rep
268                                          New informatics tools are needed to model the experimental a
269 ccurred despite a lag in the capabilities of informatics tools available to process the complex data
270                                     Antibody informatics tools can help improve our understanding of
271                                     Advanced informatics tools can identify phenotypically relevant d
272 nts Toolkit (CRAVAT) is an evolving suite of informatics tools for mutation interpretation that inclu
273  resources, but there is a critical need for informatics tools in individual laboratories to help man
274     DDAP has advantages compared to previous informatics tools in several aspects: (i) it does not re
275 ir interplay break inversion symmetry, while informatics tools learn from available data to select ca
276                               While existing informatics tools provide efficient bulk variant annotat
277 nstrate the need for advanced cancer imaging informatics tools that can help ensure protocol-complian
278 ubstantial efforts have been made to develop informatics tools to alleviate MS data interpretation.
279          Thus, there is a growing demand for informatics tools to analyze FT-MS data that will aid in
280      We used cell-based reporter methods and informatics tools to efficiently screen a large collecti
281 sed functional signatures with complementary informatics tools to examine drug combinations.
282 hput screening (qHTS) approach combined with informatics tools to screen the Tox21 library of 10,000
283              The current generation of these informatics tools was developed for Illumina data, evolv
284 free text concepts identified using clinical informatics tools, disease labels can be assigned with a
285 seeking to ensure that there are appropriate informatics tools, systems and databases available to ma
286                  Here, using newly developed informatics tools, we tracked changes in DNA copy number
287 s therefore a central step toward developing informatics tools, which can support the clinician in th
288 pertise and familiarity with a wide range of informatics tools.
289 les, partly due to the large availability of informatics tools.
290  digital image archives by using open-source informatics tools.
291 functionally validated data set to calibrate informatics tools.
292 sis in life sciences, as researchers without informatics training attempt to perform computation-depe
293 NG, AND PARTICIPANTS: The randomized Genetic Informatics Trial (GIFT) of Warfarin to Prevent Deep Vei
294              The randomized clinical Genetic Informatics Trial (GIFT) of Warfarin to Prevent Deep Vei
295 ers) from the Scottish Primary Care Clinical Informatics Unit Research (PCCIU-R) database were descri
296 g of the nature and clinical significance of informatics variability and adopting strategies to reduc
297 ining nanoscopy with epi-mark textural image informatics, we developed a novel approach, termed EDICT
298         MTB is accessed via the Mouse Genome Informatics web site.
299                       Shotgun proteomics and informatics were used to identify the LSEC mediator that
300                To construct the optimization informatics workflow, a number of critical components ha

 
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