ライフサイエンスコーパス: informatics

1 ea of bioinformatics can be called 'bioimage informatics'.

2 osphorylation of Shp2 (Ptpn11 - Mouse Genome Informatics).

3 ironment, and eventually arriving in medical informatics.

4 n and 1-2 d for data analysis and downstream 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 gnancy and arrhythmias, quality of life, and informatics.

10 es as partners, and incorporation of medical informatics.

11 s, less invasive early monitors, and medical informatics.

12 rovides a first step toward biological image informatics.

13 is an integrated public resource of protein informatics.

14 rs access to, and training in, proteogenomic 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 Biochemical and informatics analyses conducted over the past few years h

21 rm effect on productive BKPyV infection, our informatics analyses indicate that the preferred target

22 Informatics analyses reported here show that RNA granule

23 Subsequent informatics analyses revealed a network of injury-respon

24 Using integrated informatics analyses, we constructed putative regulatory

25 ts with the prediction of vaccine targets by informatics analysis of genome sequences.

26 An unsupervised informatics analysis revealed that immune response and i

27 he development of experimental protocols and informatics analysis tools is helping to reduce sequenci

28 this technology has created an unprecedented informatics and analytical challenge.

29 abilities, approaches, and tools of bioimage informatics and apply them to advance their own studies.

30 s as single-photon light sources for quantum informatics and biolabels for real-time monitoring of si

31 is labor-intensive and requires considerable informatics and biological expertise.

32 The workflow integrates group theory, informatics and density-functional theory to uncover des

33 of compounds have a long history in chemical informatics and drug discovery.

34 s between entomology and disciplines such as informatics and electrical engineering.

35 This combined informatics and functional approach has allowed the char

36 Comprehensive informatics and functional studies revealed a compartmen

37 red by recent advances in molecular biology, informatics and nanoscience, are readily applicable to d

38 (e) Informatics and other "smart systems" can improve the ev

39 als, the International Journal of Functional Informatics and Personalized Medicine and the Internatio

40 sign and International Journal of Functional Informatics and Personalized Medicine, IEEE 7th Bioinfor

41 ta may be leveraged with novel technologies, informatics and practical clinical paradigms to apply th

42 Indeed, significant advances in the informatics and software tools necessary to support the

43 netic screens has created the need for clear informatics and statistical approaches to deal with the

44 Clinical informatics and structured accessible secure data captur

45 , EBI's Ontology Working Group, Mouse Genome Informatics and the Monarch Initiative among others, and

46 e for pipetting, non-trivial tasks for which informatics and visualization tools can prevent costly e

47 ence-based medicine, medical ethics, medical informatics); and methods used to evaluate student learn

48 tervention combining professional education, informatics, and financial incentives reduced the rate o

49 ecognition algorithms are useful in bioimage informatics applications such as quantifying cellular an

50 derived peptides were predicted by an immuno-informatics approach based on the HLA-A*02 binding motif

51 derived peptides were predicted by an immuno-informatics approach based on the HLA-A2 binding motif.

52 The informatics approach increased the number of products co

53 This new translational biomedical informatics approach supports not only detection of new

54 We introduce an informatics approach that uses publicly available data t

55 An informatics approach to evaluating combined chemical exp

56 To use an informatics approach to examine the association of ADT a

57 dy is to optimize an integrated experimental/informatics approach to more confidently characterize th

58 In applying this combined informatics approach to ricin A, we identified a conserv

59 A lipid-mediator informatics approach was employed to systematically iden

60 Here, employing an informatics approach, we define novel families of T6S pe

61 features it produces regulate the downstream informatics approach.

62 88 individuals with prostate cancer using an informatics approach.

63 in high throughput omics workflows, and new informatics approaches are necessary for processing the

64 Thus, bioimage informatics approaches are needed to rapidly and objecti

65 tions in vaccinology using computational and informatics approaches.

66 ch of the owner, using mass spectrometry and informatics approaches.

67 The growth of electronic publication and informatics archives makes it possible to harvest vast q

68 s in analytical chemistry, microbiology, and informatics are breaking down the barriers to a fuller a

69 cly available software packages for bioimage informatics are listed for further reference.

70 ontrols, reference materials, statistics and informatics are required for a robust measurement proces

71 the biology of their problem rather than the informatics aspects.

72 individual genes permits the development of informatics-assisted methods for the selection of candid

73 Therefore, using an informatics based approach to identify STAT5 targets, we

74 We utilize an unbiased informatics based machine learning approach to classify

75 e protein by using a focused proteomics- and informatics-based approach that can be generalized to pr

76 ing human and mouse isoforms, and utilize an informatics-based approach to identify a novel ninth MIT

77 To address this issue, we have undertaken an informatics-based approach to understand the genetic and

78 We combine available experimental data with informatics-based immunological predictions to help desi

79 esent study, HITS data were compared with an informatics-based list of putative substrates of the per

80 r hope is to stimulate experimental tests of informatics-based predictions for TGFbeta signaling, as

81 thus impractical in high throughput studies, informatics-based statistical learning approaches can be

82 eating entirely new possibilities for cancer informatics by enhancing data discovery and retrieval.

83 Additional informatics can conceivably be developed to mine and int

84 lysis, computational drug discovery, medical informatics, cancer genomics, and systems biology.

85 ow and in the future, is to provide powerful informatics capabilities to T1D scientists in a form the

86 yside and Fife were identified by the Health Informatics Centre (HIC) and invited to take part in the

87 All data were anonymised according to Health Informatics Centre standard operating procedures.

88 provided by the University of Dundee Health Informatics Centre, who have access to health-related po

89 s paper provides an overview of the bioimage informatics challenges and approaches in image-based stu

90 We introduce the informatics challenges arising in the analysis of tiling

91 types and huge data volume poses formidable informatics challenges for base calling, read alignment

92 One of the major informatics challenges is providing tools that link meta

93 his technique also poses many biological and informatics challenges to extracting meaningful biologic

94 ge data sets that analysis poses significant informatics challenges, particularly for research groups

95 scientific, infrastructural, logistical, and informatics challenges.

96 The Medical Informatics Committee of the American College of Physici

97 A central challenge for the biodiversity informatics community is to provide the means to share a

98 l for biodiversity science, the biodiversity informatics community must address several critical chal

99 e present the recent efforts by the bioimage informatics community to tackle these challenges, and di

100 r has become a critical tool for the pathway informatics community, detecting thousands of errors and

101 ents and practicing radiologists outside the informatics community.

102 One goal of the informatics component of our project has been to generat

103 y dissipation in the memory and other binary informatics components are insignificant compared to the

104 to fundamental RNA-seq molecular biology and informatics concepts.

105 at established the International Arabidopsis Informatics Consortium (IAIC).

106 benefits include reduced infrastructure and informatics costs in managing and analyzing large sequen

107 lation hosted by the UIC Center for Research Informatics (CRI) at galaxy.cri.uic.edu.

108 t cardiovascular disease care innovations in informatics, data uses, patient engagement, continuous l

109 organism databases, such as the Mouse Genome Informatics database, maintain the primary data and prov

110 ion of clinical approach with a more formal, informatics-derived approach to characterization and a B

111 which can be easily parsed due to accessible informatics-derived image analysis tools, can provide bo

112 with a speculative discussion of what future informatics developments may hold for cognitive neurosci

113 rt 1 of this review on the basics of imaging informatics discussed the elements that make up a pictur

114 Here we review the increasingly large role informatics-driven approaches are playing in such effort

115 Rapid developments in informatics, emphases on large sample collection for gen

116 In this study we found, using lipid mediator informatics employing liquid chromatography-tandem mass

117 comparative questions is an early version of informatics-enabled CER familiar to oncologists.

118 An updated version of informatics-enabled CER relies on EHR-derived structured

119 ChemBank is a public, web-based informatics environment developed through a collaboratio

120 atory networks (GRNs) and thereby provide an informatics environment to study the effects of interven

121 ons on potential solutions based on bioimage informatics, especially automated image computing.

122 allowing biomedical scientists with minimal informatics expertise to remotely call, view, and furthe

123 lp readers, including those without bioimage informatics expertise, understand the capabilities, appr

124 by individuals or groups that lack clinical informatics expertise.

125 erstanding of the mammalian genome thanks to informatics, expression profiling and sequencing of the

126 ll status of available software for bioimage informatics, focusing on open-source options.

127 In the paradigm of materials informatics for accelerated materials discovery, the cho

128 The i2b2 Center (Informatics for Integrating Biology and the Bedside) has

129 fragment mapping based on the Protein-Ligand Informatics force field (PLIff).

130 This paper introduces the protein-ligand informatics "force field", PLIff, which begins to addres

131 The entire biomedical imaging informatics framework consists of cell detection, segmen

132 The cancer Biomedical Informatics Grid (caBIG(R)) Life Science BAM (LS BAM) pr

133 ctor Machine (PUGSVM) is a cancer Biomedical Informatics Grid (caBIG) analytical tool for multiclass

134 l-scale effort, called the cancer Biomedical Informatics Grid (caBIGtrade mark), to develop a federat

135 twork (DDN) is a caBIG(R) (cancer Biomedical Informatics Grid) analytical tool for detecting and visu

136 Through the work of the HLA Informatics Group and in collaboration with the European

137 Through the work of the HLA Informatics Group and in collaboration with the European

138 Through the work of the HLA Informatics Group and in collaboration with the European

139 the various nomenclature committees, the HLA Informatics Group and in collaboration with the European

140 Here we develop an informatics-guided ab initio approach to accelerate the

141 f metabolite databases, and progress in (bio)informatics has made agnostic approaches more attractive

142 ng-based analyses, other areas of biological informatics have not yet adopted them.

143 Advances in DNA sequencing and informatics have revolutionised biology over the past fo

144 ter-based image analysis system (Imaging and Informatics in ROP [i-ROP]) was developed using a set of

145 Part 2 will focus on the impact of informatics in the radiology reading room and on recent

146 control the activity of the enhancers using informatics, in vivo occupancy by TFs that regulate cort

147 as open source for download at http://omics.informatics.indiana.edu/GeneStitch

148 load at the RAPSearch2 website: http://omics.informatics.indiana.edu/mg/RAPSearch2/.

149 load at the RAPSearch2 website: http://omics.informatics.indiana.edu/mg/RAPSearch2/.

150 In summary, this novel web server (cancer.informatics.indiana.edu/mmia) will provide life science

151 an can be freely downloaded at http://darwin.informatics.indiana.edu/MultiGlycan/.

152 or the structural kernel is available at www.informatics.indiana.edu/predrag/.

153 The source code is available on http://bio.informatics.indiana.edu/projects/arcs and http://goldeng

154 The development of biological informatics infrastructure capable of supporting growing

155 it is accompanied by an equal investment in informatics infrastructure.

156 evaluate the impact of incorporating health informatics into the management of SAB via a pharmacist-

157 Informatics is a broad field encompassing artificial int

158 Imaging informatics is a distinct subspecialty of radiology that

159 Biodiversity informatics is an emerging field that applies informatio

160 Computational vaccinology or vaccine informatics is an interdisciplinary field that addresses

161 A major challenge facing biodiversity informatics is integrating data stored in widely distrib

162 Clinical pathway informatics is regarded as an efficient way to solve a s

163 ign, details of the simulation protocol, and informatics issues were described.

164 design, details of the simulation protocol, informatics issues, and the organization of the results

165 blication page of the Web site http://sparks.informatics.iupui.edu.

166 ilable as a SPARKS-X server at http://sparks.informatics.iupui.edu/

167 line database we developed, PAGED http://bio.informatics.iupui.edu/PAGED is by far the most comprehen

168 ls (SPOT) package available at http://sparks.informatics.iupui.edu/spot

169 D is available through the MGI web site (www.informatics.jax.org), or directly at www.informatics.jax

170 MGD is web accessible at http://www.informatics.jax.org.

171 lable through the MGI web site at http://www.informatics.jax.org/ or directly at http://www.informati

172 ssible through the MGI website at http://www.informatics.jax.org/ or directly at http://www.informati

173 The Gene Expression Database (GXD; www.informatics.jax.org/expression.shtml) is an extensive an

174 www.informatics.jax.org), or directly at www.informatics.jax.org/expression.shtml.

175 formatics.jax.org/ or directly at http://www.informatics.jax.org/menus/expression_menu.shtml.

176 formatics.jax.org/ or directly at http://www.informatics.jax.org/menus/expression_menu.shtml.

177 deep medical knowledge as well as mastery of informatics, management, and team leadership.

178 semantic similarity, available under http://informatics.med.yale.edu/ytex.web/.

179 We have devised a chemocentric informatics methodology for drug discovery integrating i

180 Further, informatics methods are presented to confidently filter

181 egration with the other data in Mouse Genome Informatics (MGI) and interconnections with other databa

182 genetic and phenotypic data in Mouse Genome Informatics (MGI) and made readily accessible to many ty

183 GD) is a major component of the Mouse Genome Informatics (MGI) database resource and serves as the pr

184 Integration with the other Mouse Genome Informatics (MGI) databases places the gene expression i

185 MGD is a major component of the Mouse Genome Informatics (MGI) resource.

186 are formally represented in the Mouse Genome Informatics (MGI) resource.

187 through integration with other Mouse Genome Informatics (MGI) resources and interconnections with ma

188 ase (MGD) forms the core of the Mouse Genome Informatics (MGI) system, a model organism database reso

189 ase and three data types from Mouse Genomics Informatics (MGI).

190 ; National Center for Integrative Biomedical Informatics (NCIBI) and is publicly available at: http:/

191 e National Center for Integrative Biomedical Informatics (NCIBI) and is publicly available at: http:/

192 d National Center for Integrative Biomedical Informatics (NCIBI) suite of tools, freely available at

193 to biologist and therapist to get real time informatics needed to evaluate death process, diseases p

194 tool for AD management program to obtain bio-informatics needed to optimize therapeutics for neurodeg

195 f the challenges in genomics derive from the informatics needed to store and analyze the raw sequenci

196 Thus, a core question in the informatics of drug design is what type of molecular sim

197 ntent super-resolution nanoscopy and imaging informatics of the nuclear organization of epi-marks.

198 hardware, expensive apparatus, and advanced informatics or can only be used in single experimental m

199 ed to explore the role of healthcare system, informatics, organizational and practice-related factors

200 A number of informatics packages have been developed for this purpos

201 em, focusing on 4 major domains: science and informatics, patient-clinician partnerships, incentives,

202 enes, which were processed with an automated informatics pipeline and manually annotated.

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 of 334,652 SNVs that were consistent between informatics pipelines yet inconsistent with haplotype tr

206 uestionnaires on atopy were acquired through informatics platform (AllergyCARD).

207 The Meningococcus Genome Informatics Platform (MGIP) is a suite of computational

208 Pathology Image Informatics Platform (PIIP) is an NCI/NIH sponsored proj

209 s the most comprehensive data repository and informatics platform related to the laboratory rat, one

210 rain Institute with access to Brain-CODE, an informatics platform that hosts a multitude of biologica

211 A novel informatics platform, dChipSNP, was used to perform hier

212 r advanced imaging tools and clinical trials informatics platforms.

213 The Mitochondrial tRNA Informatics Predictor (MitoTIP) is available through MIT

214 In this paper, we provide an informatics primer on farm animal bioinformatics and gen

215 Understanding informatics principles is important because these princi

216 The resultant informatics problems have a profound impact on analysis

217 of time series is beneficial for biomedical informatics problems such including, but not limited to,

218 resource created by the Genetic Resource and Informatics Program at the Oregon National Primate Resea

219 is is a first report, using our MotifModeler informatics program, to simultaneously identify transcri

220 unity effort that combines modern bioimaging informatics, recent leaps in labeling and microscopy, an

221 "Integrative functional informatics" represents a novel direction in such techno

222 While mainstream biomedical informatics research focuses on developing more accurate

223 cale data integration effort, the Biomedical Informatics Research Network (BIRN).

224 d noncoding RNAs absent from The Arabidopsis Informatics Resource 10 build.

225 vidual investigator's laboratories and major informatics resource centers such as Ensembl, UniProt an

226 vidual investigator's laboratories and major informatics resource centers, such as Ensembl, UniProt a

227 idual investigators and downloads from major informatics resource centers.

228 collaboration provides an impressive public informatics resource comprising approximately 45 000 wel

229 are driving the development of shared online informatics resources by gaining access to data where it

230 Web 2.0 and advanced informatics resources will be part of physician lifelong

231 on and sustainability of international mouse informatics resources), with a remit to assess the techn

232 the rapidly growing capabilities of several informatics resources, genomic data from model cereals a

233 Based on the informatics results, we analyzed the respiratory functio

234 experimental miRNA researchers, but also for informatics scientists developing the next-generation mi

235 hly curated, community-oriented database and informatics service to researchers focused on the crop p

236 ct on hospital costs, and effective clinical informatics services and multidisciplinary collaboration

237 Although the procedure assumes basic informatics skills, these tools assume little to no back

238 the Open Microscopy Environment (OME) as an informatics solution for the storage and analysis of opt

239 ation studies, there is currently a need for informatics solutions that facilitate the integration of

240 wn vision for future development of bioimage informatics solutions.

241 re supporting data sharing, data management, informatics, statistical methodology, and research ethic

242 ted to quantification, mass spectrometry and informatics strategies are discussed.

243 In recent years, informatics studies have predicted several new ways in w

244 Informatics studies suggest that related catalytic domai

245 LIMITATION: This was a 1-year informatics study conducted at a single hospital subspec

246 to invest significant resources into custom informatics support for genome sequencing projects remai

247 ) is a dedicated database and structural bio-informatics system for distance based protein modeling.

248 grated computational system PrISM.1 (Protein Informatics System for Modeling).

249 Sipros/ProRata is a versatile informatics system that enables identification and quant

250 computational challenge, requiring powerful informatics systems and bioinformatics expertise.

251 ta may be kept securely under governance and informatics systems that are fit-for-purpose and appropr

252 hat an opportunity exists to employ hospital informatics systems to improve the prescription of antib

253 odology and the development of interoperable informatics systems, which has been recognized by the Na

254 and improve patient safety and quality, and informatics systems.

255 l modelling, diagnostic, communications, and informatics technologies can identify and report hithert

256 addressed is how human-machine interface and informatics technologies could combine to transform the

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 conclude by reviewing advances in biomedical informatics that will eventually allow the human proteom

260 nalysis, the use of social media and medical informatics that will further advance clinical medicine

261 Modern biomedical informatics theory and practice has demonstrated the dis

262 systems (PACS) are a major focus of imaging informatics, there are many other ways in which technolo

263 In addition, the advancement of informatics to allow the intersection of multiple comple

264 These findings were shown by informatics to be relevant to the head morphogenesis of

265 ervention comprising professional education, informatics to facilitate review, and financial incentiv

266 Here, we call for a more formal waste informatics to organize and standardize waste management

267 ssical mechanics simulations, and structural informatics to understand this aspect of ion partitionin

268 formation system may be used as an effective informatics tool for anticancer drug discovery.

269 After validation, the informatics toolkit was used to populate an exposure rep

270 Newly developed image-based informatics tools allow global genome-scale structural a

271 New informatics tools are needed to model the experimental a

272 Antibody informatics tools can help improve our understanding of

273 Advanced informatics tools can identify phenotypically relevant d

274 nts Toolkit (CRAVAT) is an evolving suite of informatics tools for mutation interpretation that inclu

275 ridization on a cDNA microarray platform and informatics tools have been used to define the copy numb

276 resources, but there is a critical need for informatics tools in individual laboratories to help man

277 ir interplay break inversion symmetry, while informatics tools learn from available data to select ca

278 While existing informatics tools provide efficient bulk variant annotat

279 nstrate the need for advanced cancer imaging informatics tools that can help ensure protocol-complian

280 ubstantial efforts have been made to develop informatics tools to alleviate MS data interpretation.

281 We used cell-based reporter methods and informatics tools to efficiently screen a large collecti

282 sed functional signatures with complementary informatics tools to examine drug combinations.

283 hput screening (qHTS) approach combined with informatics tools to screen the Tox21 library of 10,000

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 digital image archives by using open-source informatics tools.

289 functionally validated data set to calibrate informatics tools.

290 ion, brain complexity, limited databases and informatics tools.

291 pertise and familiarity with a wide range of informatics tools.

292 les, partly due to the large availability of informatics tools.

293 sis in life sciences, as researchers without informatics training attempt to perform computation-depe

294 The randomized clinical Genetic Informatics Trial (GIFT) of Warfarin to Prevent Deep Vei

295 server TRFolder-W is available at http://rna-informatics.uga.edu/?f=software&p=TRFolder-w.

296 ers) from the Scottish Primary Care Clinical Informatics Unit Research (PCCIU-R) database were descri

297 g of the nature and clinical significance of informatics variability and adopting strategies to reduc

298 ining nanoscopy with epi-mark textural image informatics, we developed a novel approach, termed EDICT

299 MTB is accessed via the Mouse Genome Informatics web site.

300 e related factor Tfec (Tcfec -- Mouse Genome Informatics), which can activate a melanogenic gene expr