ライフサイエンスコーパス: identification

1 -cell RNA sequencing data to perform cluster identification.

2 c glycogen mapping through distinct spectral identification.

3 d sensitivity of biomarkers dependent on FAZ identification.

4 iding what memory strength is sufficient for identification.

5 requisite to ensure the comprehensive glycan identification.

6 ly increases the reliability of the compound identification.

7 may be used by other health systems for case-identification.

8 field of analytical methods used for porcine identification.

9 open access to prevent research participant identification.

10 essed via a commercial software for sequence identification.

11 h the additional benefit of improved crystal identification.

12 30 relevant time trends related to TrOCs for identification.

13 n complex mixtures, which results in missing identifications across replicates.

14 s suggest a general strategy for genome-wide identification and characterization of silencer elements

15 Here, we report the identification and characterization of the amidobenzimid

16 f BK1.3 potently blocks inflammation in vivo Identification and characterization of the chemokine-bin

17 As such, interest in the identification and characterization of the previously ig

18 Automated tissue identification and characterization using a single atlas

19 been reported in many plant species, but its identification and characterization were not possible un

20 servoirs in opioid dependent PLWH.IMPORTANCE Identification and clearance of HIV reservoirs is a majo

21 ICE ADVICE 7: Management should focus on the identification and correction (where possible) of underl

22 orrelation NMR experiments allow for a rapid identification and differentiation of surface hydroxyl g

23 igh throughput, micro-macro approach for the identification and efficient design of biopolymer stabil

24 mained one of the limiting factors for early identification and isolation of infected patients.

25 of gHDX in MS-based workflows for molecular identification and isomer differentiation.

26 lated Asn residues, which enabled the robust identification and orthogonal validation of N-glycosylat

27 Identification and outcomes in patients with sepsis have

28 For correct identification and phenotyping of individuals at increas

29 We now report the identification and preclinical evaluation of the novel,

30 er has an accuracy of 90% or better for both identification and prediction while prediction accuracy

31 the suitability of NMR spectroscopy for the identification and quantification of critical quality at

32 ed guttae assessment facilitates the precise identification and quantification of guttae characterist

33 optimized 2D-DIA method allowed for improved identification and quantification of low abundant protei

34 g a specific protocol enabling the automatic identification and quantification of metabolites in appr

35 The improved transcript identification and quantification shown by our approach

36 ference and improving the sensitivity of HCP identification and quantification.

37 fluid extraction); the available methods for identification and quantification; the stability of the

38 l and developmental biology is the automated identification and quantitation of cells in complex mult

39 ocused overview of the recent studies in the identification and quantitative determination of CTCs by

40 ern Mozambican coastline inferred from photo-identification and telemetry studies, our results show n

41 tanding TIM3 biology, including novel ligand identification and the discovery of loss-of-function mut

42 lus, Prunus and Cerasus) for genome-wide SNP identification and to assess genetic diversity of both C

43 for subgroup identification enhancing target identification and treatment development.

44 dentify novel targets that may improve early identification and treatment for youth with STBs and NSS

45 s case highlights the importance of accurate identification and treatment of an uncommon cause of dys

46 Therefore, drug identification and validation for the treatment of sepsi

47 d warrant further studies on the enrichment, identification, and isolation of responsible microorgani

48 Detection, identification, and quantification of plant diseases by

49 en identified in the tools available for the identification, and the hazard and risk assessment of th

50 , transcriptome profiling, molecular pathway identification, and validation in vitro.

51 We tested for RDCs by our genome-wide DSB identification approach that captures DSBs via their abi

52 r methods and existing computational doublet identification approaches to four datasets with experime

53 ody and was able to achieve sensitive glycan identification at a low microgram level of glycoprotein.

54 s difficult, complicating their analysis and identification by methods routinely used for bacteria, i

55 fication, while maintaining the glycopeptide identification capability.

56 We analyzed state identification card demographic and organ donor registra

57 wed us to gain further insight into accurate identification, concluding that there is a dynamic equil

58 not clear, in part due to the difficulty in identification during electrocatalysis.

59 ulness of biomarker information for subgroup identification enhancing target identification and treat

60 eduction of false positive quantitations and identifications even from phosphopeptides with a low num

61 The model is capable of odor identification from a small number of observations, whil

62 lling from exome sequencing data and peptide identification from MS/MS data.

63 Unfortunately, chromosome identification has been a major challenge for plants wit

64 ion continue to lag the pace of risk variant identification, hindered by the sheer number of targets

65 e attributed to the lack of a rapid pathogen identification (ID) or antimicrobial susceptibility test

66 prove the sensibility and allow sulfopeptide identification in complex samples.

67 ydrates may differ drastically, making their identifications indispensable in many applications of li

68 stently >2, and the detection limit for CAII identification is 0.004 wt % of the total protein in 1:4

69 on of false discovery rate (FDR) of spectral identification is a central problem in mass spectrometry

70 Incorrect drug target identification is a major obstacle in drug discovery.

71 rom images of various PSFs and show that the identification is accurate for a wide range of different

72 grounded in group norms, moderated by group identification, is compared and contrasted to other norm

73 avonols in blueberries due to separation and identification issues.

74 Fossil identifications made in a phylogenetic framework are beh

75 Here, we describe the identification, maturation, characterization, and utiliz

76 ose a Gaussian mixture model-based multiplet identification method, GMM-Demux.

77 The increased yield of TCR specificity identification methods and the overall increase in the n

78 Since LINbase leverages the concept of Life Identification Numbers (LINs), which are codes assigned

79 percent agreement (NPA) for the qualitative identification of 15 bacterial targets compared to routi

80 demonstrated for the material and thickness identification of 2D materials with high prediction accu

81 ral response in WHV-infected woodchucks; the identification of a baseline intrahepatic transcriptiona

82 o far, and the main challenges following the identification of a drug that is able to induce axonal r

83 We report here the identification of a gene family encoding for three small

84 abidopsis lignin mutant ref8, and report the identification of a GROWTH INHIBITION RELIEVED 1 (GIR1)

85 ic phage library against RBD, leading to the identification of a high-affinity single-chain fragment

86 The obtained results allowed the identification of a highly selective G-quadruplex ligand

87 Here, we report the first identification of a hydroxymethylcytosine-like (5hmC-lik

88 These algorithms require identification of a list of high confidence (core) react

89 r OAB characteristic symptoms and led to the identification of a low OAB symptomatic score group (clu

90 LC5A2, POLR3B, VPS13A, SYN1, SPG11), and the identification of a novel disease gene (n = 1; NSL1).

91 Here we report the identification of A-Kinase Anchor Protein (AKAP8) as a s

92 The identification of ACE2 in as many as 72 tissues suggests

93 reen ~138,000 compounds, which increased the identification of active compounds, while decreasing scr

94 g with the shotgun lipidome approach for the identification of active SHs, and thus for deciphering t

95 ion; ranging from codon occupancy profiling, identification of actively translated open reading frame

96 isotypes, and the use of antibody testing in identification of acutely ill patients or in epidemiolog

97 ut off limit of 0.3, resulted in the correct identification of all frozen poultry samples instead of

98 Using this method, identification of all particles present in small represe

99 his method was extended to the detection and identification of alpha-l-arabinofuranosidases produced

100 The identification of an actionable target downstream of RB1

101 Following identification of anatomic landmarks, anatomic and mecha

102 CoV-2 residues for therapeutic targeting and identification of animal species on which to focus resea

103 This new method led to the identification of another 145 oligosaccharides, includin

104 stome Analysis Pipeline (PRAP) for the rapid identification of antibiotic resistance genes from vario

105 y chemoproteomic methods to assist in target identification of antimalarial drugs and highlight the p

106 Identification of appropriate candidates, indications an

107 oichiometric mechanistic studies allowed the identification of aryl- and alkylpalladium pivalates, wh

108 Among the entire cohort, identification of at least one MRLN by EUS was associate

109 y of our integrated paper devices for timely identification of bacterial infections at the point-of-c

110 for the classification of brain regions and identification of biomarker genes for brain related phen

111 nce in depressed youth, which may inform the identification of biomarkers for prognosis and treatment

112 Definition of these subgroups requires the identification of biomarkers in biological samples, and

113 onservation-based biodiversity research, and identification of blood-meal hosts of hematophagous inve

114 The identification of both good and poor risk subtypes in pa

115 servation across coronaviruses fostering the identification of broad-spectrum inhibitors.

116 The identification of BSE in two goats raised the need to re

117 We report a standardised approach for the identification of candidate drugs for repurposing in the

118 Methods that allow for both the identification of candidate non-coding pathogenic varian

119 Identification of canonic gene fusions has led to develo

120 Rapid and precise identification of cases and tracing of transmission chai

121 Here we report the identification of CCN4/Wisp1 as a circulating factor mor

122 Optimal clinical decision-making depends on identification of clinically relevant organisms present

123 d patient selection for active surveillance, identification of clinically significant disease, choice

124 The identification of clinically viable strategies for overc

125 This resulted in identification of compound 4 with desired FXIa inhibitor

126 In the present study, we report the identification of compounds that act specifically to pre

127 m transcriptomics, but parameters related to identification of core reactions, such as thresholding o

128 olution of the full-length M1 structure, the identification of critical assembly interfaces, and the

129 GSMNs) at the scale of a metagenome, and the identification of critical species with respect to metab

130 ross-linkers to facilitate the detection and identification of cross-linked peptides using multistage

131 Identification of CsACD2 as a susceptibility target has

132 Here, we report the identification of CVM-05-002 using a high-throughput scr

133 of peanut leaflet spectra provides accurate identification of different varieties.

134 Identification of differentially expressed genes is nece

135 s indicated to facilitate individually based identification of diverse clinical phenotypes of FTLD on

136 yping of influenza A strains and multiplexed identification of dozens of HIV drug-resistance mutation

137 This observation led to the identification of DTMGM-SEGPHOS, a bisphosphine ligand b

138 nses of tumors to ICI provide a strategy for identification of durable response early during the cour

139 model to predict the probability of correct identification of each disease when diagnostic testing o

140 A general method for the quick identification of effective catalytic systems for copper

141 Our identification of EGLN3, a known negative regulator of n

142 uggest that deep learning has utility in the identification of ENE in patients with HNSCC and has the

143 Identification of ENE on pretreatment imaging represents

144 s of these methods critically depends on the identification of eQTLs, which may not be functional in

145 ulations from human spleen tissue led to the identification of erythrocytes that are devoid of hemogl

146 opriate sequential testing predicted correct identification of etiology in 74% and 89% of patients in

147 Reliable identification of expressed somatic insertions/deletions

148 Moreover, the initial identification of FH-associated mutations that diminish

149 These studies warrant identification of first-in-class MEIS inhibitors as pote

150 solve inaccuracies in alternative transcript identification of full-length transcripts in short-read

151 issue types in this data set also led to our identification of functional convergence in expression b

152 However, the identification of functional groups or reagents that are

153 s in cancer epigenome, and to facilitate the identification of functional non-coding mutations, we pr

154 The identification of functional regions in the noncoding hu

155 uality of these clusters correlated with the identification of functional regions.

156 homology to flavivirus proteases and enable identification of functional self-cleaving poxins in RNA

157 This will help in the identification of further therapeutic targets for diseas

158 Identification of genes and elucidation of the biosynthe

159 om metagenomic sequencing data, enabling the identification of genes that predict bacterial fitness.

160 Identification of genetic drivers promoting disseminatio

161 ies, followed by exome-wide analyses, led to identification of genetic risk variants (eg, PNPLA3, TM6

162 Here, we report the identification of genetic suppressors that result in ant

163 The identification of genetic variation within the natural p

164 n has been well established in twin studies, identification of genome-wide significant loci has been

165 Here, we establish a robust method for the identification of global transcriptomic changes in rare

166 Identification of glycomacropeptide (GMP) and beta-lacto

167 The identification of healthy persons more susceptible to dr

168 and genetic risk factors allow more precise identification of high-risk patients for early intensive

169 cancer has few known risk factors, hampering identification of high-risk women.

170 The identification of higher-risk swine strains can then be

171 rom neural networks can be leveraged for the identification of highly dynamic regions within molecule

172 Common clinical characteristics, the identification of human leukocyte antigen risk alleles,

173 This approach results in the accurate identification of hundreds of shared and tumor-specific

174 /HRMS) are gaining importance as they enable identification of hundreds or even thousands of compound

175 88%, and 86% and 93%, respectively, for the identification of IDC-P.

176 ificity of developed nanosystem toward rapid identification of ill people even at incubation and prod

177 Conclusion: The mf3D-MRE allows identification of imaging parameters that predict early

178 e distinguished from bradyzoite infection by identification of immunoglobulin G (IgG) antibodies agai

179 the TAGs, leading to the rapid and accurate identification of individual TAGs.

180 The aim of the present paper is to show that identification of individual virus particles in clinical

181 However, the identification of individual, causal regulatory variants

182 here is a need for reliable tests that allow identification of individuals that have been infected wi

183 of protective vaccines as well as the early identification of individuals with the highest risk that

184 trol strategies relies on rapid and accurate identification of infected plants.

185 ring of Th2 polarization and straightforward identification of innate lymphoid cell 2 progenitor popu

186 Despite advances in the identification of intermediates, elucidating the catalyt

187 ith published standards or other benchmarks; identification of intervention, if necessary; and implem

188 macological tools for the de novo design and identification of LDH tetramerization disruptors.

189 These features allow for the separation and identification of lipids to the underlying structures of

190 or admixture-enabled selection relies on the identification of loci that contain more or less ancestr

191 y in solution, which precludes the effective identification of low abundance HCPs in antibody product

192 el, rapid, facile, and powerful approach for identification of maggot species in field-derived sample

193 form paired with ion/ion chemistry permitted identification of major, and some minor, isomeric contri

194 The identification of methylation differences that predate i

195 s to optimize Raman spectral imaging for the identification of microplastics (>=2 mum) in ambient par

196 The identification of molecular drivers of disease and the c

197 ss of IgG4-RD to B cell depletion and by the identification of multiple self-antigens that promote B

198 cause of its sensitivity and specificity for identification of myocardial pathological substrates.

199 ied protein species, while the proteome-wide identification of N- and C-termini relies on the generat

200 ragger search engine, for fast and sensitive identification of N- and O-linked glycopeptides and open

201 ion of the molecular architecture led to the identification of N-[1-(3-fluoropropyl)azetidin-3-yl]-6-

202 ment), is a binary classification scheme for identification of native protein quaternary assemblies (

203 Our identification of nearly 150 differentially expressed pr

204 Here, we report the identification of Nemo-like kinase (NLK) as a potential

205 to available antileishmanial drugs advocates identification of new drug targets and their inhibitors

206 In recent years, the identification of new families of mechanosensitive ion c

207 gical features, potentially facilitating the identification of new therapies.

208 This work has led to the identification of new, unexplored genomic regions with r

209 in cardiomyocyte proliferation calls for the identification of nodal points in the cell signaling bef

210 uencing (WGS), on the other hand, allows for identification of non-coding somatic variation and expan

211 Identification of nonviral markers of human immunodefici

212 of core fragility regions in known CFSs and identification of novel fragile sites.

213 conformation of GSK3beta can facilitate the identification of novel GSK3beta inhibitors of high pote

214 phenotypic manifestations, allowing for the identification of novel mutations, genes, and phenotypes

215 been the formation of lignins, including the identification of novel substrates and enzyme activities

216 Fueled by the identification of novel ubiquitin and UBL sites and the

217 ck of suitable methodology has prevented the identification of other degradation pathways.

218 This data resource enables identification of parameters underlying effective anti-t

219 nent of cardiomyopathy can lead to increased identification of pathogenic genetic variants.

220 rstanding of myelin clearance allows for the identification of pathways that are potentially accessib

221 These could improve identification of patients at risk for cancer progressio

222 se endeavors requires efficient and accurate identification of patients with PAD.

223 invasively measures brain activity, allowing identification of patterns evoked by tasks performed dur

224 Because NIRAF-based identification of PG is noninvasive and label-free, the

225 spectrometry of active fractions led to the identification of phosphatidylcholines (PCs).

226 The identification of POP opens up numerous avenues for cont

227 ithms have been developed for automating the identification of possible heterologous pathways; howeve

228 ensive determination of primary sequence and identification of post-translational modifications (PTMs

229 a useful approach for the quantification and identification of potential migrants from plastics in ch

230 Manual identification of potential quality issues in GO is a ch

231 ploitation of acr loci neighborhoods for the identification of previously undescribed anti-defense sy

232 thod enables reducing raw data and including identification of prioritized unknown contaminants.

233 The identification of progression in multiple sclerosis is t

234 The HRMS data revealed the identification of purpuride, PP-O, PP-R, pentalsamonin,

235 Identification of putative centromeres in closely relate

236 Additionally, it facilitated the identification of quiescent stem cells and revealed gene

237 pack-years smoking were resequenced for the identification of rare variants (allele frequency < 0.05

238 ell and integrated omics technologies to the identification of refractory RA endotypes are also discu

239 ompared to bacterial culture followed by PCR identification of resistance genes from colonies, the Ca

240 RNA-sequencing (RNA-seq) enables global identification of RNA-editing sites in biological system

241 the best of our knowledge, this is the first identification of SE interactions that underlie hormonal

242 ing genomic analyses, phenotypic assays, and identification of secondary metabolites, highlights the

243 This approach led to the identification of seven novel genetic causes of monogeni

244 a single entity has been challenged with the identification of several clinical subtypes, pathogenic

245 and classification and allowed for effective identification of signals in challenging data sets.

246 ugh functional p53 status negatively affects identification of significantly depleted genes, optimal

247 ompared with that of WT mice, leading to the identification of similar abnormalities including fewer

248 rol of experimental data, (ii) the automated identification of small and major assay interferences, a

249 study of structural characteristics and the identification of small molecules and organelles in mamm

250 study describes a pooling strategy based on identification of sociodemographic and laboratory factor

251 iety disorders rely on accurate and reliable identification of specific underlying deficits and biase

252 ome scale using the same protocol as for the identification of SSP genes; and (4) information about a

253 ructures of 85 seven-helical TM proteins and identification of stable two-helical folding intermediat

254 As such, identification of strategies to manipulate habenular act

255 However, identification of stratospheric volcanic eruptions in th

256 inflammatory investigation findings, aid the identification of surface autoantibodies among unselecte

257 These data provide a resource for the identification of TFs which regulate the dynamical prope

258 nding proteins and neuropeptides, helped the identification of thalamic nuclei.

259 tivity, and ADME properties which led to the identification of the clinical candidate PF-06826647 (22

260 The identification of the cyst structure for M. ampla could

261 sful prevention of food allergy requires the identification of the factors adversely affecting the ca

262 he same receptors as opiates resulted in the identification of the first endogenous opioid peptides.

263 Thus, to enable the identification of the full set of efficient solutions (s

264 Identification of the genetic regulatory elements and tr

265 Identification of the group of patients meeting the crit

266 ion is identified, the steps are as follows: identification of the imaging situation; collection of a

267 ultant ETD and CID spectra were used for the identification of the intact glycopeptides, while the qu

268 Further optimization of the series led to identification of the lead compound 3a that displayed ex

269 rapy occurs for many patients, rendering the identification of the mechanisms that control PD-1 expre

270 More precise identification of the neurobiological bases of cognitive

271 The identification of the NFU1 partner proteins reported her

272 Here, we report the identification of the RNA-binding protein HuR/ELAVL1 as

273 This study presents a level-1 identification of the seven carbon (7-C) sugar C-methyl-

274 e demonstrate the utility of MutPred2 in the identification of the structural and functional mutation

275 Identification of therapeutic compounds to regulate phys

276 Identification of these loops is a critical part of most

277 Identification of these residues is a novel understandin

278 We anticipate that the identification of these residues will enable the broad i

279 In practice though, identification of these solutions can be very challengin

280 We report the isolation and identification of three compounds from 430D-F5 that redu

281 is described that allows for straightforward identification of transcriptional regulatory elements ou

282 Here, we report the identification of two clinically relevant subtypes of po

283 The identification of two new hydroxy ketones, 2-hydroxy-3-m

284 esearch in this area that will allow for the identification of unique biomarkers for early AD.

285 ultistage MS (MS(n)) were used for structure identification of vaping products.

286 d grapefruit trees, as well as detection and identification of various fungal and viral diseases.

287 Reliable molecular identification of vertebrate species from morphologicall

288 Molecular identification of vesicular glutamate transporter three

289 sociated mutations from clinical samples and identification of Zika strains through unambiguous color

290 An identification performance comparable to existing three-

291 ein stable isotope probing (protein-SIP) and identification/quantification of partially labeled pepti

292 rpose of this Perspective is to consider why identification rates continue to be low in untargeted me

293 Currently, PAD patient identification relies on diagnosis/procedure codes or li

294 Purification and identification revealed deleted in malignant brain tumor

295 The Chinese Smell Identification Test (CSIT), Self-reported Olfactory Scal

296 metabolic profiles and for unknown biomarker identification that is complementary to high resolution

297 Current technologies focus on pathogen identification that lack rapid testing of the patient im

298 The identification was unambiguously supported by confocal R

299 All identifications were within +/-10 ppm (mass error) and w

300 t selectivity enhances the power of compound identification without increasing the analysis time.