ライフサイエンスコーパス: life science

1 the relationship between bioinformatics and life science.

2 ng, materials science, or pharmaceutical and life science.

3 henomena in fields from materials science to life science.

4 the borders of STED imaging even further in life science.

5 ations indispensable in many applications of life science.

6 tions into an integrative framework of proto-life science.

7 US Department of the Army and GeneOne Life Science.

8 nt towards higher throughput applications in life science.

9 ols continues to drive major advances in the life sciences.

10 nome editing technology with major impact in life sciences.

11 esearch in photonics and across physical and life sciences.

12 bate among economists and researchers in the life sciences.

13 orking at the interface of chemistry and the life sciences.

14 oss disciplines from matter to materials and life sciences.

15 maximise the value of this technique in the life sciences.

16 pting the use of machine learning methods in life sciences.

17 spectrometry has become a key technology in life sciences.

18 ivotal role in many areas, in particular the life sciences.

19 progress in computational approaches in the life sciences.

20 e elements is a fundamental challenge in the life sciences.

21 select examples spanning both materials and life sciences.

22 ating bioinformatics on the periphery of the life sciences.

23 transform experimental approaches across the life sciences.

24 and humans has important implications in the life sciences.

25 researchers promise to advance knowledge in life sciences.

26 ay in disseminating research findings in the life sciences.

27 DC serves as a model for data sharing in the life sciences.

28 individuals is a core and challenging aim of life sciences.

29 diverse natural systems is a key goal of the life sciences.

30 a standard task for many laboratories in the life sciences.

31 lems in energy, materials, environmental and life sciences.

32 tic materials change hands frequently in the life sciences.

33 ourses of any size and sub-discipline of the life sciences.

34 new application fields in biotechnology and life sciences.

35 ensable to physicians and researchers in the life sciences.

36 d on techniques from across the physical and life sciences.

37 significant impact on many challenges in the life sciences.

38 of Big Data and the need for security in the life sciences.

39 h the Bio2RDF network of linked data for the life sciences.

40 olomics is emerging as an important field in life sciences.

41 ut technologies have brought big data to the life sciences.

42 ional probes for the various applications in life sciences.

43 e variation is a common pursuit unifying the life sciences.

44 s to measurement throughout the physical and life sciences.

45 as with applications across the physical and life sciences.

46 underrepresented at the faculty level in the life sciences.

47 put, have since impacted every corner of the life sciences.

48 lular function is a key challenge facing the life sciences.

49 analysis systems applicable in chemistry and life sciences.

50 ace is desirable for many disciplines in the life sciences.

51 al for very-large-scale data analysis in the life sciences.

52 are studied in a variety of contexts in the life sciences.

53 l, enabling unique potential applications in life sciences.

54 obal infection has for the basic and applied life sciences.

55 of major challenges in molecular biology and life sciences.

56 rly infection diagnosis in environmental and life sciences.

57 and has wide potential applicability in the life sciences.

58 g is a long-sought bioanalytical goal in the life sciences.

59 s a significant impact on many challenges of life sciences.

60 re, is a long-standing goal of the molecular life sciences.

61 sed as a model organism in many areas of the life sciences.

62 novel opportunities for many applications in life sciences.

63 h high impact in industry, medicine, and the life sciences.

64 of fluorescent labels is widely used in the life sciences.

65 ed as the gold standard quantitative tool in life sciences.

66 tems and to tackle fundamental challenges in life sciences.

67 ions and accelerating knowledge discovery in life sciences.

68 stigation from diverse subdisciplines in the life sciences.

69 video is one of the most common tasks in the life sciences.

70 crucial component of the infrastructure for life sciences.

71 gy infuse all branches of science, including life sciences.

72 of the most popular protein tags used in the life sciences.

73 foundation for experimental analyses in the life sciences.

74 ration methods has not been exploited in the life sciences.

75 biology that has impacted many areas in the life sciences.

76 plications of plasmonic nanoparticles in the life sciences.

77 ual cells is transforming basic and clinical life sciences(1-4).

78 lth record AF (EHR-AF) score in IBM Explorys Life Sciences, a multi-institutional dataset containing

79 In the life sciences, a new paradigm is emerging that places ne

80 ery powerful tool in physics, chemistry, and life sciences, although limited by low sensitivity.

81 d as promising chemical tools for a range of life science and biomedical applications, such as fluore

82 n with potential for diverse applications in life science and biomedicine.

83 munication and collaboration skills for both life science and computer science students.

84 ganic nanocarriers with tunable stability in life science and energy science.

85 s of liquid samples has wide applications in life science and environmental monitor.

86 ng programmable nucleases is revolutionizing life science and medicine.

87 ysis (LSA) method, though widely used by the life science and the (14)C scientific communities since

88 e processes is necessary for the progress of life sciences and biomedical applications.

89 ng becomes a more widespread practice in the life sciences and biomedical sciences, researchers need

90 otivate student learning at the interface of life sciences and device engineering (as part of a corne

91 current low rate of preprint submissions in life sciences and ECR concerns regarding preprinting nee

92 cost biosensor technology for application in life sciences and education.

93 ted mass spectrometry (MS) is widely used in life sciences and environmental chemistry to investigate

94 ting genomic sequences for basic research in life sciences and for therapeutic purposes.

95 iterature resource of books and documents in life sciences and health care at the National Center for

96 uenza H1N1 samples sequenced on both the 454 Life Sciences and Illumina platforms, permitting quantif

97 mples of GATE-based systems operating in the life sciences and in medicine.

98 based biotechnologies has revolutionized the life sciences and introduced new therapeutic modalities

99 ection has been successfully utilized in the life sciences and materials science.

100 of preprints, a minority of all articles in life sciences and medicine are preprinted.

101 imaging of ET in live cell open a new era in life sciences and medicine by providing a way to capture

102 ciplinary applications in fields such as the life sciences and remote sensing that require high effic

103 der distribution among the applicants (i.e., life sciences and social sciences).

104 interaction with recent developments in the life sciences and society.

105 Researchers in the life sciences and the history and philosophy of science

106 services are used through all disciplines in life sciences and the online landscape is growing by hun

107 e of fields, starting from basic research in life sciences and up to medical applications, are highly

108 the potential to transform many areas of the life sciences and usher in new ways of doing research.

109 ompanying BV interpretive algorithm (Coriell Life Sciences), and (ii) microbiome profiling of the 16S

110 DuoSet (both R&D systems), ADI-900-201 (Enzo Life Sciences), and SKR038 (GenWay Biotech Inc San Diego

111 Rxiv.org, the largest preprint server in the life sciences, and allows users to filter and sort paper

112 th support and extend existing theory in the life sciences, and discuss their potential ramifications

113 nded to fields such as catalysis, cosmetics, life sciences, and food packaging, which can also benefi

114 is one of the fastest-growing fields in the life sciences, and for good reason; it fills the gap bet

115 r the AspA tag highly attractive for various life science applications.

116 cluding N-methylamines and molecules used in life science applications.

117 C-MS/MS analyses highly demanded for various life-science applications.

118 the analysis of the six parameters from the life sciences are discussed.

119 n increasing numbers, researchers across the life sciences are embracing the once-niche practice, sha

120 interest, but equivalent experiences for the life sciences are not as developed.

121 e among the most commonly used labels in the life sciences are presented as well as the absolute quan

122 ity and adoption of microfluidics within the life sciences are still limited.

123 Life sciences are yielding huge data sets that underpin

124 been used for more than 50 years across the life sciences as a foundational research tool, but a rec

125 year, which is faster than growth rates for life sciences as a whole and for most biology subdiscipl

126 This has led to an acute crisis in life sciences, as researchers without informatics traini

127 ning popularity for molecular imaging in the life sciences because it is label-free and allows imagin

128 logy is among the many subdisciplines of the life sciences being transformed by our increasing awaren

129 in fields like engineering, the majority of life sciences/biological sciences courses continue to re

130 of the platform covers different aspects of life science, biomedicine, biotechnology and drug discov

131 Proteins are of ubiquitous interest in the Life Sciences but are of interest in the Geosciences as

132 th ligands is of fundamental interest in the life sciences but has proven remarkably difficult to acc

133 hotonic experiments are of key importance in life sciences but light-induced side effects are serious

134 Ontologies are invaluable in the life sciences, but building and maintaining ontologies o

135 eprints are becoming well established in the life sciences, but relatively little is known about the

136 to open new opportunities in nanoscience and life science by offering an unprecedented level of contr

137 Modern biomedical imaging has revolutionized life science by providing anatomical, functional, and mo

138 en the understanding of collaboration in the life sciences by distinguishing between different 'colle

139 ularly biotechnology companies, a PhD in the life sciences can be very helpful in making this determi

140 The life sciences can benefit greatly from imaging technolog

141 ernational Workshop on Cells in ExperimentaL Life Science (CELLS-2018) focused on two themes of knowl

142 kg/m(2) into one of four dose groups at SGS Life Sciences Clinical Research Services, Belgium.

143 reliable antibody reagents would impact the life sciences, clinical chemistry, and clinical medicine

144 antibody reagents play critical roles in the life sciences, clinical chemistry, and clinical medicine

145 To promote international life science collaboration, we have launched "The Scienc

146 nd to enhance both the Visualization and Bio/Life-Sciences communities by pushing Biological data set

147 n peer review (PPPR) is transforming how the life sciences community evaluates published manuscripts

148 e improved reproducibility across the global life sciences community.

149 try (MS) has become an important tool in the life sciences, contributing to the diagnosis and underst

150 se can be incorporated into a broad array of life sciences courses.

151 service to enable on-the-fly integration of life science data.

152 en executing federated SPARQL queries across life science data.

153 ology for describing, publishing and linking life science data.

154 of a global infrastructure of interconnected life sciences data resources.

155 R01-CA136551; Life Science Development Fund; Juno Therapeutics; Bezos

156 Since other experiments within different life science disciplines share the main characteristics

157 n Career Development Award, Washington State Life Sciences Discovery Fund, Ben Towne Foundation, Will

158 , process control, wastewater treatment, and life sciences discovery research among many others.

159 d programming, equivalent connections to the life sciences do not currently exist.

160 advantages of computational studies in other life science domains, we establish an authentic data-dri

161 EHR/EMR, HIE and other collaboration-centric life sciences domains have taught us, the core challenge

162 open-ended and dramatically underserved Bio/Life Sciences domains.

163 is an increasingly popular technique in the life sciences due to its fast 3D imaging capability of f

164 Network for Integrating Bioinformatics into Life Sciences Education is the lack of faculty in the bi

165 The spirit of life science entrepreneurship is alive and well, with ou

166 mmunity-driven platform for dissemination of life science events, such as courses, conferences and wo

167 number of samples that can be processed in a life science experiment, as well as volume and complexit

168 ted with data collected at the Materials and Life Science Experimental Facility of the Japan Proton A

169 A critical barrier for remote and on-site life-science experimentation (for both experts and nonex

170 and help everyone design and execute robust life science experiments.

171 l cultures and cell lines are widely used in life science experiments.

172 arly aptamers, have a great impact on modern life sciences for biological analysis and target detecti

173 and for lowering the access barriers to the life sciences for professional and citizen scientists, l

174 pectrometry (ICP-MS) has been widely used in Life Sciences for the absolute quantification of biomole

175 ransformations is central to advances in the life sciences; for this reason, many chemists aim to dis

176 Analyzing data from 294 PhD students in the life sciences from 53 US institutions, we found no stati

177 Strategies in life science graduate education must evolve in order to

178 uire approximately 4 d when carried out by a life sciences graduate student.

179 the role of TR RR spectroscopy in molecular life science has changed from the beginning until now.

180 been used for macroscale objects, its use in life sciences has been hindered by the inability to levi

181 The growth of preprints in the life sciences has been reported widely and is driving po

182 Many discoveries in the life sciences have been made using material from living

183 u was incorrectly associated with College of Life Sciences, Hebei University, Baoding 071000 Hebei, C

184 cus strongly on web-based identifiers in the life sciences; however, the principles are broadly relev

185 of inexpensive high-resolution detectors for life science imaging applications (e.g., scientific CMOS

186 ion microscopy (SIM) has been widely used in life science imaging applications.

187 e analysis of polymer films by this emerging life science imaging technique.

188 Photocontrollable proteins revolutionized life-science imaging due to their contribution to subdif

189 On the semantic web, in life sciences in particular, data is often distributed v

190 n of gastric and duodenal biopsies to Miraca Life Sciences, Inc.

191 ble applications, especially in the field of life sciences, including biocompatibility, the controlle

192 uctural chemistry, materials science and the life sciences, including drug discovery and drug develop

193 tereogenic centres into products used in the life sciences industries.

194 and ELIXIR, the European infrastructure for life science information.

195 e North American branch of the International Life Sciences Institute.

196 t are freely available from a large range of life science institutions.

197 Recent advancements in life-science instrumentation and automation enable entir

198 ics to answer important questions across the life sciences is hindered because of a paucity of comput

199 A current challenge in life sciences is to image cell membrane receptors while

200 A current challenge in the life sciences is to understand how the properties of ind

201 In particular, in the life sciences it has found widespread application using

202 e history of this fundamental concept in the life sciences, its significance, methodologies to detect

203 base of citations and abstracts published in life science journals.

204 e relevance of these skills to their work in life science laboratories.

205 answering queries across major producers of life science Linked Data.

206 nd macromolecular structures, as well as the life science literature.

207 molecular structures, together with relevant life science literature.

208 In the life sciences, many measurement methods yield only the r

209 tes for the synthesis of advanced chemicals, life science molecules, dyes and polymers.

210 Despite their importance for material and life sciences, multivalent interactions between polymers

211 ce on Miniaturized Systems for Chemistry and Life Sciences (muTAS 2012), specifically focusing on nov

212 apture important phenomena in the social and life sciences, namely the Nash equlibrium and other equi

213 g area at the interface of chemistry and the life sciences offers a broad palette of opportunities fo

214 pline, at the interface of chemistry and the life sciences, offers a broad palette of opportunities f

215 atistical analyses of biological problems in life sciences often lead to high-dimensional linear mode

216 ormatics has become an indispensable part of life science over the past 2 decades.

217 n practices have changed considerably in the life sciences over the past 30 years.

218 The US share of life science patents declined from 57% (1981) to 51% (20

219 will be discussed include those in polymers, life sciences, photonics, solar cells, semiconductors, p

220 ontiers and emerging technologies within the life sciences pose many global challenges to society.

221 ciplinary field that applies engineering and life science principles to promote regeneration, can pot

222 diates for the production of surfactants and life sciences products.

223 Most current life science professors did not acquire bioinformatics a

224 LOCATE to Indian individuals from the London Life Sciences Prospective Population Study (LOLIPOP) dat

225 educe the risk of bias in a random sample of life sciences publications, significantly lower reportin

226 invaluable for conducting hypothesis-driven life science research aimed at understanding the role of

227 c understanding and governmental support for life science research and could enhance decision making

228 producing custom radiolabeled compounds for life science research and diagnostic testing from 1980 u

229 techniques are emerging within the fields of life science research and medical diagnostics where it i

230 RNA technology is transforming life science research and medicine, but many application

231 is a technology of critical interest to both life science research and therapeutic applications.

232 The iPlant Collaborative provides life science research communities access to comprehensiv

233 A new U.S. policy for dual-use life science research defines what is permissible by sci

234 Cell sorting is a central tool in life science research for analyzing cellular heterogenei

235 work to contribute to much (if not most) of life science research in profound ways.

236 Life science research is moving quickly towards large-sc

237 Low reproducibility rates within life science research undermine cumulative knowledge pro

238 is a key component of a wide range of basic life science research, and crucial for many high-through

239 identify a target molecule are essential for life science research, clinical diagnoses, and therapeut

240 o improve the quality and reproducibility of life science research, we developed a fast, simple, and

241 ass spectrometry is an indispensable tool in life science research.

242 is used as an experimental animal model for life science research.

243 re discussed primarily within the context of life science research.

244 , ETD MS has received particular interest in life science research.

245 bases represent essential infrastructure for life science research.

246 microarray data is a crucial step in current life science research.

247 with applications in immunosensing and basic life science research.

248 modelling has become increasingly common in life science research.

249 to broadly represent the typical samples in life science research: (i) histology (unlabeled tissue),

250 ce this risk with the necessity of fostering life sciences research for public health and biodefense.

251 Areas of life sciences research that were previously distant from

252 Antibodies are powerful tools in life sciences research, as well as in diagnostic and the

253 cluding the increased interdisciplinarity of life sciences research, expansion of the researcher popu

254 aps the greatest restrictions of medical and life sciences research.

255 detailed review of all 2,047 biomedical and life-science research articles indexed by PubMed as retr

256 (EMBL-EBI), and we consult extensively with life science researchers to find out what they need from

257 Life science researchers use computational models to art

258 ucture can minimize the overhead required of life science researchers.

259 udied for its applications in data sciences, life sciences, social sciences and technology, and hence

260 mately be traced to an absence of a unifying life science standards framework, and (ii) makes an urge

261 This has now been corrected to: "Division of Life Sciences, State Key Laboratory of Molecular Neurosc

262 le, affiliation 3 was given as: "Division of Life Sciences, State Key Laboratory of Molecular Neurosc

263 applications of the disposable ATR module in life science studies exploring potential biohazardous sa

264 Most life science systems contain hydrated macromolecules who

265 Life science technologies generate a deluge of data that

266 rofluidics, the latter underpinning many new life science technologies.

267 ctrometry (MS)-based proteomics is a central life science technology that has realized great progress

268 -European intergovernmental organisation for life science that aims to coordinate bioinformatics reso

269 tegrated model for graduate education in the life sciences that addresses these issues.

270 otoreactive compounds are important tools in life sciences that allow precisely timed covalent crossl

271 , and environmental manipulations across the life sciences that either target the rate and direction

272 ntributed to an explosion of advances in the life sciences that have grown from the ability to edit g

273 It is increasingly important in life sciences that many cell-scale and tissue-scale meas

274 Tool (BLAST) is a fundamental program in the life sciences that searches databases for sequences that

275 lutions in this CELLS (Cells in ExperimentaL Life Sciences) thematic series that cover the grounds of

276 f dual-use research of concern (DURC) in the life sciences, there has been a lack of consensus on how

277 effectively the "Nobel Prize in Chemistry or Life Sciences." This paper presents a detailed study of

278 s for the chemical industry in general, from life sciences to catalysis.

279 e main means for academic researchers in the life sciences to create a permanent public record of the

280 l for a variety of applications ranging from life sciences to environmental monitoring.

281 a clear story often leads researchers in the life sciences to exclude experiments that 'did not work'

282 nce in fields ranging from biotechnology and life sciences to geophysics and climate change.

283 ave a variety of applications in interfacing life sciences to nano-electronics, including electronic

284 is maturing toward applications ranging from life sciences to the clinic.

285 le tracking is an important technique in the life sciences to understand the kinetics of biomolecules

286 ity of microorganisms is now challenging the life sciences to upgrade fundamental theories that once

287 ows for the flexible utilization of the many life science tools that are needed to optimally convert

288 Many life sciences trainees in academia have limited exposure

289 zier Healthcare Partners, where he leads the Life Science Venture practice.

290 hemoglobin or lipids, its application in the life-science was limited by a lack of labels overcoming

291 In life science, water is the ubiquitous solvent, sometimes

292 though we are witnessing a golden era of the life sciences, we are ironically still far from giving a

293 ar labels for microscopy applications in the life sciences, which require optimized probes that are b

294 nding, and with higher throughout, impacting life sciences with thousands of publications each year.

295 many applications for biotechnology and the life sciences, with increasing impact on everyday life.

296 formatic work is shaped by its dependency on life science work, which combined with the black-boxed c

297 quality control in the increasingly complex life science workflows ushered in by synthetic biology.

298 ith Department of Plant Sciences, College of Life Sciences, Wuhan University, 430072, Wuhan, China.Th

299 ed metabolomics has gained importance in the life sciences, yet it is not supported by software tools

300 synthesis of cofactors is fundamental to the life sciences, yet to date a few important pathways rema