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1 aterials science, biomaterials, and clinical informatics.
2 rs access to, and training in, proteogenomic informatics.
3 or a very important problem in translational informatics.
4 atment, and for extending the field of image informatics.
5 applications in drug discovery and molecular informatics.
6 important component of clinical microbiology informatics.
7 Quantitative Insights Into Microbial Ecology informatics.
8 ignificance of these advances for biomedical informatics.
9 r a variety of technologies from medicine to informatics.
10 at can be applied across protein engineering informatics.
11  of growth in PSP are in disease and isoform informatics.
12 search is a defining challenge in biomedical informatics.
13 ironment, and eventually arriving in medical informatics.
14 n and 1-2 d for data analysis and downstream informatics.
15                        New technological and informatics advancements in population genomics are bein
16                     Recent technological and informatics advances have led to unprecedented volumes o
17            We sought to determine whether an informatics algorithm applied to the EHR could electroni
18                                           An informatics algorithm can successfully identify both kno
19                              We developed an informatics algorithm to search the EHRs of patients age
20                       Through proteomics and informatic analyses of PEAK1-depleted PDAC cells, we def
21                                              Informatic analyses revealed structural similarities bet
22 rm effect on productive BKPyV infection, our informatics analyses indicate that the preferred target
23                                              Informatics analyses reported here show that RNA granule
24                                   Subsequent informatics analyses revealed a network of injury-respon
25                             Using integrated informatics analyses, we constructed putative regulatory
26                                              Informatic analysis consisted of a training set that was
27                                              Informatic analysis of the P. syringae genome suggests o
28                               In some cases, informatic analysis was used to restrict the space of po
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 ucing big data at an unprecedented rate that informatic and artificial intelligence (AI) analytics si
33                                              Informatic and biochemical analysis suggests that large
34  high-content, multiplexed measurements with informatic and computational modeling methods to better
35            We have used a combination of bio-informatic and experimental approaches to engineer a cry
36 abilities, approaches, and tools of bioimage informatics and apply them to advance their own studies.
37 s, previous knowledge from proteomic pathway informatics and cell signaling models to delineate key t
38                Here we use mass spectrometry informatics and data visualization approaches(11-13) to
39        The workflow integrates group theory, informatics and density-functional theory to uncover des
40 he past decade, its application in molecular informatics and drug discovery is still limited.
41 of compounds have a long history in chemical informatics and drug discovery.
42 wing for deep characterization for molecular informatics and drug discovery.
43 s between entomology and disciplines such as informatics and electrical engineering.
44                                This combined informatics and functional approach has allowed the char
45                                Comprehensive informatics and functional studies revealed a compartmen
46 tegrated with the other data in Mouse Genome Informatics and interconnected with other databases, pla
47 sign and International Journal of Functional Informatics and Personalized Medicine, IEEE 7th Bioinfor
48 ta may be leveraged with novel technologies, informatics and practical clinical paradigms to apply th
49 netic screens has created the need for clear informatics and statistical approaches to deal with the
50                                     Clinical informatics and structured accessible secure data captur
51 , EBI's Ontology Working Group, Mouse Genome Informatics and the Monarch Initiative among others, and
52 e for pipetting, non-trivial tasks for which informatics and visualization tools can prevent costly e
53 tervention combining professional education, informatics, and financial incentives reduced the rate o
54 d here is a framework for the unification of informatics- and physics-based data associated with DNA,
55 ecognition algorithms are useful in bioimage informatics applications such as quantifying cellular an
56                           Here we present an informatic approach, called high-resolution filtering (H
57                           Here we present an informatics approach based on Boolean logic to identify
58 derived peptides were predicted by an immuno-informatics approach based on the HLA-A*02 binding motif
59 derived peptides were predicted by an immuno-informatics approach based on the HLA-A2 binding motif.
60                                          The informatics approach increased the number of products co
61            This new translational biomedical informatics approach supports not only detection of new
62                              We introduce an informatics approach that uses publicly available data t
63                                           An informatics approach to evaluating combined chemical exp
64                                    To use an informatics approach to examine the association of ADT a
65 dy is to optimize an integrated experimental/informatics approach to more confidently characterize th
66                           Here, employing an informatics approach, we define novel families of T6S pe
67 88 individuals with prostate cancer using an informatics approach.
68 features it produces regulate the downstream informatics approach.
69                                        Novel informatic approaches allow for the barcoded short reads
70                      In addition, we outline informatic approaches that correct for biases inherent i
71                       We have employed novel informatic approaches to characterize the in vivo transc
72 hat combine phyloinformatic and biodiversity informatic approaches to document large scale biodiversi
73                                          Two informatics approaches (subtype categorization to define
74 al data that are amenable to analysis by new informatics approaches alongside conventional statistica
75  in high throughput omics workflows, and new informatics approaches are necessary for processing the
76                               Thus, bioimage informatics approaches are needed to rapidly and objecti
77  genomics researchers utilize sequence-based informatics approaches or three-dimensional-structure-ba
78           This availability enables big data informatics approaches to be used to study the spread an
79 demiology, and toxicology communities to use informatics approaches to improve their research workflo
80 ch of the owner, using mass spectrometry and informatics approaches.
81 tions in vaccinology using computational and informatics approaches.
82     The growth of electronic publication and informatics archives makes it possible to harvest vast q
83 s in analytical chemistry, microbiology, and informatics are breaking down the barriers to a fuller a
84 cly available software packages for bioimage informatics are listed for further reference.
85 ontrols, reference materials, statistics and informatics are required for a robust measurement proces
86 a do not provide database matches because of informatic artifacts, chemical contaminants, and signal
87                       We utilize an unbiased informatics based machine learning approach to classify
88                                   We used an informatics-based approach to develop a transcriptional
89 To address this issue, we have undertaken an informatics-based approach to understand the genetic and
90 grating data-processing software with larger informatics-based data management platforms.
91  We combine available experimental data with informatics-based immunological predictions to help desi
92 esent study, HITS data were compared with an informatics-based list of putative substrates of the per
93 r hope is to stimulate experimental tests of informatics-based predictions for TGFbeta signaling, as
94 thus impractical in high throughput studies, informatics-based statistical learning approaches can be
95 itional sequence comparisons and discuss the informatic basis for the ability of the PFM approach to
96                                  Comparative informatics between human and mouse data sets identified
97                                              Informatic, biochemical, and functional analysis implica
98 entific workflows in bioinformatics, medical informatics, biomedical imaging and data analysis, there
99 eating entirely new possibilities for cancer informatics by enhancing data discovery and retrieval.
100                                   Additional informatics can conceivably be developed to mine and int
101 edicine, European Society of Medical Imaging Informatics, Canadian Association of Radiologists, and A
102 lysis, computational drug discovery, medical informatics, cancer genomics, and systems biology.
103 yside and Fife were identified by the Health Informatics Centre (HIC) and invited to take part in the
104 All data were anonymised according to Health Informatics Centre standard operating procedures.
105  provided by the University of Dundee Health Informatics Centre, who have access to health-related po
106 The increasing omics data present a daunting informatics challenge.
107 s paper provides an overview of the bioimage informatics challenges and approaches in image-based stu
108  types and huge data volume poses formidable informatics challenges for base calling, read alignment
109                             One of the major informatics challenges is providing tools that link meta
110 his technique also poses many biological and informatics challenges to extracting meaningful biologic
111 scientific, infrastructural, logistical, and informatics challenges.
112 ddressing similarly complex data science and informatics challenges.
113 tute of Health Research Critical Care Health Informatics Collaborative was studied.
114  Research Centre, as part of the NIHR Health Informatics Collaborative.
115                                  The Medical Informatics Committee of the American College of Physici
116     A central challenge for the biodiversity informatics community is to provide the means to share a
117 l for biodiversity science, the biodiversity informatics community must address several critical chal
118 e present the recent efforts by the bioimage informatics community to tackle these challenges, and di
119 r has become a critical tool for the pathway informatics community, detecting thousands of errors and
120 transcripts as enriched in the VMP using bio-informatic comparisons of Tag-seq and RNA-seq data, and
121 y dissipation in the memory and other binary informatics components are insignificant compared to the
122 to fundamental RNA-seq molecular biology and informatics concepts.
123 at established the International Arabidopsis Informatics Consortium (IAIC).
124  System (WheatIS) and the International Rice Informatics Consortium (IRIC) to establish Web-based sin
125  benefits include reduced infrastructure and informatics costs in managing and analyzing large sequen
126 lation hosted by the UIC Center for Research Informatics (CRI) at galaxy.cri.uic.edu.
127 es, parallel acquisition of large-scale drug-informatics data provides significant opportunities to i
128 tch up with an avalanche of freely available informatics data.
129 t cardiovascular disease care innovations in informatics, data uses, patient engagement, continuous l
130 ion of clinical approach with a more formal, informatics-derived approach to characterization and a B
131 with a speculative discussion of what future informatics developments may hold for cognitive neurosci
132 ional setting for teaching in the bio/health informatics disciplines.
133 chers unprecedented opportunities for health informatics, disease-risk prediction, actionable clinica
134   Here we review the increasingly large role informatics-driven approaches are playing in such effort
135                                   Decades of informatics-driven research have relied on expert-design
136 ations for developing an accessible, unified informatic ecosystem to support pathogen genomic analysi
137                        Rapid developments in informatics, emphases on large sample collection for gen
138 comparative questions is an early version of informatics-enabled CER familiar to oncologists.
139                        An updated version of informatics-enabled CER relies on EHR-derived structured
140 atory networks (GRNs) and thereby provide an informatics environment to study the effects of interven
141 ons on potential solutions based on bioimage informatics, especially automated image computing.
142 elegant progression of computational and bio-informatic experiments centered on transcriptomic compar
143  allowing biomedical scientists with minimal informatics expertise to remotely call, view, and furthe
144 lp readers, including those without bioimage informatics expertise, understand the capabilities, appr
145  by individuals or groups that lack clinical informatics expertise.
146 ll status of available software for bioimage informatics, focusing on open-source options.
147                 In the paradigm of materials informatics for accelerated materials discovery, the cho
148                             The i2b2 Center (Informatics for Integrating Biology and the Bedside) has
149 fragment mapping based on the Protein-Ligand Informatics force field (PLIff).
150     This paper introduces the protein-ligand informatics "force field", PLIff, which begins to addres
151                The entire biomedical imaging informatics framework consists of cell detection, segmen
152 developed a statistical-thermodynamics-based informatics framework, which allows us to probe for the
153                        The cancer Biomedical Informatics Grid (caBIG(R)) Life Science BAM (LS BAM) pr
154 ctor Machine (PUGSVM) is a cancer Biomedical Informatics Grid (caBIG) analytical tool for multiclass
155 twork (DDN) is a caBIG(R) (cancer Biomedical Informatics Grid) analytical tool for detecting and visu
156                           Here we develop an informatics-guided ab initio approach to accelerate the
157 f metabolite databases, and progress in (bio)informatics has made agnostic approaches more attractive
158 ng-based analyses, other areas of biological informatics have not yet adopted them.
159               Advances in DNA sequencing and informatics have revolutionised biology over the past fo
160 ncluded GeneWeaver, String, and Mouse Genome Informatics identified a total of nine additional candid
161 gnosis (CAD), Computer Applications-General (Informatics), Image Postprocessing, Informatics, Neural
162 of North America and the Society for Imaging Informatics in Medicine conferences (November 2016-June
163 iety of Radiology, RSNA, Society for Imaging Informatics in Medicine, European Society of Medical Ima
164 ter-based image analysis system (Imaging and Informatics in ROP [i-ROP]) was developed using a set of
165  control the activity of the enhancers using informatics, in vivo occupancy by TFs that regulate cort
166                                The degree of informatic independence between the physical properties
167    In summary, this novel web server (cancer.informatics.indiana.edu/mmia) will provide life science
168                The development of biological informatics infrastructure capable of supporting growing
169  it is accompanied by an equal investment in informatics infrastructure.
170 ped, many with clinical decision support and informatics interoperability, but few access patient inf
171                                              Informatic interrogation of mRNA sequence databases reve
172  evaluate the impact of incorporating health informatics into the management of SAB via a pharmacist-
173                                              Informatics is a broad field encompassing artificial int
174         Computational vaccinology or vaccine informatics is an interdisciplinary field that addresses
175        A major challenge facing biodiversity informatics is integrating data stored in widely distrib
176                             Clinical pathway informatics is regarded as an efficient way to solve a s
177 ents in the field and relevant topics (e.g., informatics, laboratory science, emerging topics) to mai
178               We have devised a chemocentric informatics methodology for drug discovery integrating i
179 s to evaluate and optimize corresponding bio-informatic methods.
180                   We survey a broad range of informatics methods and tools that are available to the
181                                     Further, informatics methods are presented to confidently filter
182 vey emerging computational and translational informatics methods capable of constructing a single sub
183 egration with the other data in Mouse Genome Informatics (MGI) and interconnections with other databa
184  genetic and phenotypic data in Mouse Genome Informatics (MGI) and made readily accessible to many ty
185 GD) is a major component of the Mouse Genome Informatics (MGI) database resource and serves as the pr
186 are formally represented in the Mouse Genome Informatics (MGI) resource.
187 MGD is a major component of the Mouse Genome Informatics (MGI) resource.
188  through integration with other Mouse Genome Informatics (MGI) resources and interconnections with ma
189 ase and three data types from Mouse Genomics Informatics (MGI).
190 r applications to bioinformatics and medical informatics, namely covariate adjustments.
191  to biologist and therapist to get real time informatics needed to evaluate death process, diseases p
192 tool for AD management program to obtain bio-informatics needed to optimize therapeutics for neurodeg
193 f the challenges in genomics derive from the informatics needed to store and analyze the raw sequenci
194 General (Informatics), Image Postprocessing, Informatics, Neural Networks, Neuro-Oncology, Oncology,
195 ntent super-resolution nanoscopy and imaging informatics of the nuclear organization of epi-marks.
196 nalytical framework-the Disease Surveillance Informatics Optimization and Simulation (DIOS) framework
197  hardware, expensive apparatus, and advanced informatics or can only be used in single experimental m
198 ed to explore the role of healthcare system, informatics, organizational and practice-related factors
199                                  A number of informatics packages have been developed for this purpos
200 em, focusing on 4 major domains: science and informatics, patient-clinician partnerships, incentives,
201 ication of NGS-based genetic testing from an informatics perspective.
202 enes, which were processed with an automated informatics pipeline and manually annotated.
203 d as a robust component in a high throughput informatics pipeline for large-scale brain mapping proje
204 e light sheet instrumentation and an imaging informatics pipeline of five steps to achieve mapping of
205 tilizing an in-house assembly and analytical informatics pipeline.
206 ughput whole brain imaging, and an automated informatics pipeline.
207 of 334,652 SNVs that were consistent between informatics pipelines yet inconsistent with haplotype tr
208 also developed and benchmarked optimized PDX informatics pipelines, and these yielded robust assessme
209 mechanism, not currently factored by genomic informatics pipelines, is relevant to diagnosis and prec
210 ne (xcmsonline.scripps.edu) is a cloud-based informatic platform designed to process and visualize ma
211 uestionnaires on atopy were acquired through informatics platform (AllergyCARD).
212                              Pathology Image Informatics Platform (PIIP) is an NCI/NIH sponsored proj
213                                    Using our informatics platform pHinder, we identified a triad of b
214 s the most comprehensive data repository and informatics platform related to the laboratory rat, one
215 rain Institute with access to Brain-CODE, an informatics platform that hosts a multitude of biologica
216 r advanced imaging tools and clinical trials informatics platforms.
217  of time series is beneficial for biomedical informatics problems such including, but not limited to,
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 a
224 idual investigators and downloads from major informatics resource centers.
225 are driving the development of shared online informatics resources by gaining access to data where it
226                         Web 2.0 and advanced informatics resources will be part of physician lifelong
227 on and sustainability of international mouse informatics resources), with a remit to assess the techn
228                                 Based on the informatics results, we analyzed the respiratory functio
229                 Genomics is a sequence-based informatics science and a three-dimensional-structure-ba
230 pment of a chemoinformatic library-based and informatic search strategy for natural products (iSNAP)
231 cted mutagenesis, and this motif was used in informatic searches to reveal a previously undescribed S
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                LIMITATION: This was a 1-year informatics study conducted at a single hospital subspec
242  to invest significant resources into custom informatics support for genome sequencing projects remai
243                Sipros/ProRata is a versatile informatics system that enables identification and quant
244  computational challenge, requiring powerful informatics systems and bioinformatics expertise.
245 ta may be kept securely under governance and informatics systems that are fit-for-purpose and appropr
246 hat an opportunity exists to employ hospital informatics systems to improve the prescription of antib
247 odology and the development of interoperable informatics systems, which has been recognized by the Na
248  and improve patient safety and quality, and informatics systems.
249 e range of topics in bioinformatics, medical informatics, systems biology and intelligent computing.
250                              We developed an informatic technique that identifies statistically signi
251                                      Current informatic techniques for processing raw chromatography/
252  metabolomics, lipidomics and phenomics with informatics techniques to provide new insights into card
253 in public health toward a focus on including informatics, technologic innovation, molecular epidemiol
254 l modelling, diagnostic, communications, and informatics technologies can identify and report hithert
255 addressed is how human-machine interface and informatics technologies could combine to transform the
256                                 With current informatics technology and machine learning algorithms,
257 entary and potentially transformative health informatics technology for research and patient care.
258            Advances in image acquisition and informatics technology have led to organism-scale spatio
259 nalysis, the use of social media and medical informatics that will further advance clinical medicine
260                            Modern biomedical informatics theory and practice has demonstrated the dis
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                        After validation, the informatics toolkit was used to populate an exposure rep
267 ntal spectral data, predictive modeling, and informatic tools enables more efficient, reliable, and t
268 lly, we comment on current, state-of-the-art informatic tools for the analysis of complex worm transc
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          Thus, there is a growing demand for informatics tools to analyze FT-MS data that will aid in
279      We used cell-based reporter methods and informatics tools to efficiently screen a large collecti
280 sed functional signatures with complementary informatics tools to examine drug combinations.
281 hput screening (qHTS) approach combined with informatics tools to screen the Tox21 library of 10,000
282              The current generation of these informatics tools was developed for Illumina data, evolv
283 free text concepts identified using clinical informatics tools, disease labels can be assigned with a
284 seeking to ensure that there are appropriate informatics tools, systems and databases available to ma
285                  Here, using newly developed informatics tools, we tracked changes in DNA copy number
286 s therefore a central step toward developing informatics tools, which can support the clinician in th
287 pertise and familiarity with a wide range of informatics tools.
288 les, partly due to the large availability of informatics tools.
289  digital image archives by using open-source informatics tools.
290 functionally validated data set to calibrate informatics tools.
291 sis in life sciences, as researchers without informatics training attempt to perform computation-depe
292              The randomized clinical Genetic Informatics Trial (GIFT) of Warfarin to Prevent Deep Vei
293 NG, AND PARTICIPANTS: The randomized Genetic Informatics Trial (GIFT) of Warfarin to Prevent Deep Vei
294 ers) from the Scottish Primary Care Clinical Informatics Unit Research (PCCIU-R) database were descri
295 g of the nature and clinical significance of informatics variability and adopting strategies to reduc
296 ining nanoscopy with epi-mark textural image informatics, we developed a novel approach, termed EDICT
297                       Shotgun proteomics and informatics were used to identify the LSEC mediator that
298 g value imputation steps to the conventional informatic workflow.
299                To construct the optimization informatics workflow, a number of critical components ha
300  three critical points of failure in current informatic workflows: compound specific drift, integrati

 
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