ライフサイエンスコーパス: life science

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

2 the relationship between bioinformatics and life science.

3 dels to continue advancing some frontiers of life science.

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

5 henomena in fields from materials science to life science.

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

7 nome editing technology with major impact in life sciences.

8 esearch in photonics and across physical and life sciences.

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

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

11 ional probes for the various applications in life sciences.

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

13 bate among economists and researchers in the life sciences.

14 s to measurement throughout the physical and life sciences.

15 as with applications across the physical and life sciences.

16 underrepresented at the faculty level in the life sciences.

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

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

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

20 analysis systems applicable in chemistry and life sciences.

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

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

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

24 l, enabling unique potential applications in life sciences.

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

26 of major challenges in molecular biology and life sciences.

27 oss disciplines from matter to materials and life sciences.

28 rly infection diagnosis in environmental and life sciences.

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

30 and has wide potential applicability in the life sciences.

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

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

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

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

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

36 novel opportunities for many applications in life sciences.

37 s for numerous applications in materials and life sciences.

38 ng and deploying web services for use in the life sciences.

39 nd research tools throughout the medical and life sciences.

40 cs is becoming increasingly important in the Life Sciences.

41 spectrometry has become a key technology in life sciences.

42 r for young people who are interested in the life sciences.

43 erface between the physical sciences and the life sciences.

44 to undergraduate students interested in the life sciences.

45 in fields such as the food industry and the life sciences.

46 rocess curation, both within and without the Life Sciences.

47 marine invertebrates have revolutionized the life sciences.

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

49 the primary objectives in the biomedical and life sciences.

50 radioisotopic detection of materials in the life sciences.

51 , offering a new powerful tool for molecular life sciences.

52 orting the current explosive developments in life sciences.

53 progress in computational approaches in the life sciences.

54 on discovery is of great interest in today's Life Sciences.

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

56 ating bioinformatics on the periphery of the life sciences.

57 transform experimental approaches across the life sciences.

58 and humans has important implications in the life sciences.

59 researchers promise to advance knowledge in life sciences.

60 ay in disseminating research findings in the life sciences.

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

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

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

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

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

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

67 new application fields in biotechnology and life sciences.

68 ensable to physicians and researchers in the life sciences.

69 significant impact on many challenges in the life sciences.

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

71 are their most promising applications in the life sciences?

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

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

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

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

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

77 The life science and healthcare communities have been redefi

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

79 aboratories for numerous applications in the life sciences and beyond.

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

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

82 on and imaging are vital technologies in the life sciences and clinical diagnostics.

83 most of the data types commonly required in life sciences and consequently can be used as flexible p

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

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

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

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

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

89 An important problem in the life sciences and in health care is simple and rapid det

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

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

92 hasm between basic scientific discoveries in life sciences and new drugs that treat the root cause of

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

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

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

96 With recent growth in fields such as life sciences and supramolecular chemistry, there has be

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

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

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

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

101 The online resources in the life sciences are characterized by a great fragmentation

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

103 n needs modification to help ensure that the life sciences are not used for hostile purposes, says Ma

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

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

106 Life sciences are yielding huge data sets that underpin

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

108 that, although a manned mission to Mars with life sciences as the priority was endorsed by the Commit

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

110 tions to biochemistry and the development of Life Sciences at Dundee.

111 ancer Biomedical Informatics Grid (caBIG(R)) Life Science BAM (LS BAM) provides a shared understandin

112 efense research and how can knowledge in the life sciences be protected against misuse?

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

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

115 -term hope of significantly impacting on the life sciences, biotechnology and drug discovery.

116 seminal importance of DNA sequencing to the life sciences, biotechnology and medicine has driven the

117 equencing-based 454 sequencing platform (454 Life Sciences, Branford, CT) offers a very promising seq

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

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

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

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

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

123 The life sciences can benefit greatly from imaging technolog

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

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

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

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

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

129 developed a web server (ProteinDBS) for the life science community to search for similar protein ter

130 browsing and annotating Web Services to the Life Science community.

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

132 We have developed a web server for the life sciences community to use to search for short repea

133 nactment of bioinformatics workflows for the life sciences community.

134 transactions that affect early- to mid-stage life sciences companies and their investors.

135 ual property that impact early- to mid-stage life sciences companies and their investors.

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

137 -sequencing technology commercialized by 454 Life Sciences Corporation was used to sequence the trans

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

139 A major challenge in undergraduate life science curricula is the continual evaluation and d

140 or embedding ontology annotation support for Life Science data in Excel spreadsheets.

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

142 sed as a platform for publishing and linking life science data.

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

144 en executing federated SPARQL queries across life science data.

145 web technology is maturing and the need for life sciences data integration over the web is growing,

146 tion called YeastHub that demonstrates how a life sciences data warehouse can be built using a native

147 tore and query both metadata and data across life sciences datasets.

148 nt developments in Raman spectroscopy in the life sciences, detailing advances in technology that hav

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

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

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

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

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

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

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

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

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

158 kb to 5 Mb, followed by sequencing on a 454 Life Sciences FLX sequencer, most sequence reads represe

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

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

161 More than 261,000 ESTs were generated by 454 Life Sciences from cDNA isolated using laser capture mic

162 ucial in a wide range of applications in the life sciences, from live imaging of fast dynamic process

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

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

165 In the Life Sciences, guidelines, checklists and ontologies des

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

167 ries a solution to the pipeline problem, the life sciences have also brought complex regulatory chall

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

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

170 Genes are identified using the Life Sciences Identifier standard.

171 uch as Digital Object Identifiers (DOIs) and Life Science Identifiers (LSIDs)], and the implementatio

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

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

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

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

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

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

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

179 development of new chemical entities for the life science industries and particularly in the drug dis

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

181 An analysis of life-science initial public offerings from three time pe

182 y in the research process, the International Life Sciences Institute (ILSI) North America Working Gro

183 , which was cosponsored by the International Life Sciences Institute of North America and the Interna

184 itute of North America and the International Life Sciences Institute Research Foundation, representat

185 This article results from an International Life Sciences Institute workshop on early nutritional de

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

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

188 Optical microscopy has been a cornerstone of life science investigations since its first practical ap

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

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

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

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

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

194 lso report the results of a poll in which 76 life science journals were asked about their current or

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

196 till one of the major problems faced by many life sciences laboratories.

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

198 the navigation within the rapidly increasing life science literature and links terms from it to corre

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

200 molecular structures, together with relevant life science literature.

201 icles which describe research from the major life sciences literature archive, PubMed Central.

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

203 ly as template for pyrosequencing by the 454 Life Sciences method.

204 In the life sciences, microfluidics usually entails the scaling

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

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

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

208 Like other life sciences, nutrition science can benefit enormously

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

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

211 hese large projects the best approach to the life sciences or do they stifle creativity?

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

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

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

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

216 Mathematics has been less intrusive in the life sciences, possibly because they have until recently

217 up to become an international player in the life sciences, powered by its recent economic growth and

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

219 ictors with outstanding performance in other life sciences problem domains.

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

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

222 Previously reported applications of the 454 Life Sciences pyrosequencing technology have relied on d

223 el is critical for progress in many areas of life sciences ranging from understanding mechanisms of a

224 central to many areas of healthcare and the life sciences, ranging from diagnosing disease to discov

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

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

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

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

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

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

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

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

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

234 h microarray experiments are very popular in life science research, managing and analyzing microarray

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

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

237 bases represent essential infrastructure for life science research.

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

239 with applications in immunosensing and basic life science research.

240 bilized on a surface, is widely practiced in life science research.

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

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

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

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

245 Areas of life sciences research that were previously distant from

246 e quantum dots (qdots) are now being used in life sciences research to take advantage of their bright

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

248 s in the gas phase play an important role in life sciences research.

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

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

251 ttle information is known about the types of life-science research conducted within academic medical

252 ch in the academy and promote the linkage of life-science research to the discovery of novel types of

253 ome an extremely important research tool for life science researchers and are also beginning to be us

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

255 r.informatics.indiana.edu/mmia) will provide life science researchers with a valuable tool for the st

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

257 nvestigate structure-function relationships, life sciences researchers usually retrieve and classify

258 e each other is the next great challenge for life-sciences researchers.

259 By combining data generated from 454 Life Sciences (Roche) and Illumina (formerly known as So

260 Using 454 Life Sciences (Roche) and Illumina sequencing (formerly

261 alyzed 48 samples in a single run of the 454 Life Sciences (Roche) FLX sequencer.

262 sequences such as those produced by the 454 Life Sciences (Roche) Genome Sequencer, and can scale to

263 eneration sequencing technologies (e.g., 454 Life Sciences [Roche], Illumina sequencing [formerly Sol

264 en embryo fibroblasts (CEF) and used the 454 Life Sciences sequencing technology to obtain the sequen

265 s had a huge impact in both the physical and life sciences, shaping our understanding of the interact

266 ing on the success of such techniques in the life sciences, single-molecule spectroscopy is finding i

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

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

269 Life science technologies generate a deluge of data that

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

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

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

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

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

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

276 dynamic collaborative knowledge base for the life sciences that provides authors with due credit and

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

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

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

280 ing developed in a large number of fields of life sciences, there is an urgent need for effective met

281 product pipelines and rapid developments in life sciences, thus demanding a strategic rethink of con

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

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

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

285 scence microscopy is a method widely used in life sciences to image biological processes in living an

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

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

288 g method-ultradeep pyrosequencing (UDPS; 454 Life Sciences)--to determine the frequency with which T2

289 Many life sciences trainees in academia have limited exposure

290 t on the response of these industries to the life science trajectory, in the context of maturing conv

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

292 easons for investors to consider early-stage life science ventures, especially in the context of a ma

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

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

295 developed: EDAM, an ontology for describing life science web services; BioXSD, a schema for exchangi

296 many applications in nanotechnology and the life sciences where fluid is required.

297 Their clearest application area is in the life sciences, where their small size is a distinct adva

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

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

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