ライフサイエンスコーパス: mining

1 ability) in regions targeted for deep-seabed mining.

2 ctors of a given HMR, based on ChIP-seq data mining.

3 are created with support from automated text mining.

4 dispersion of plumes generated by full-scale mining.

5 come a cornerstone of knowledge-based genome mining.

6 n chemistry, medicine, materials science and mining.

7 ive manner, to facilitate faster visual data mining.

8 al to properly assess the impact of deep sea mining.

9 s, defense and security, and agriculture and mining.

10 unctional discovery of new enzymes by genome mining.

11 a wealth of information for meaningful text mining.

12 s available via the PubMed database for data mining.

13 mes increasingly important in post-GWAS data mining.

14 ditional time required for data analysis and mining.

15 making it challenging to use for image data mining.

16 e research on document-level biomedical text mining.

17 eded for effective management of deep-seabed mining.

18 rine environment from the harmful effects of mining.

19 ation prediction and mass-spectrometric data mining.

20 gets for functional investigation or allelic mining.

21 tro and/or in vivo assays; and clinical data mining.

22 of the environmental impacts of deep-seabed mining.

23 Here, by mining a published RNA-sequencing dataset of geniculate

24 he highest in SPMDs deployed within 10 km of mining activity (near-site wetland [5930 ng SPMD(-1)]) c

25 ass-independent RiPP TrackER), a RiPP genome mining algorithm aimed at the discovery of novel RiPP cl

26 The algorithm presented herein, Mining Algorithm for GenetIc Controllers (MAGIC), uses E

27 Mining algorithms and scalable expression platforms have

28 , discovered through structure-guided genome mining) alongside multiplexed multiphoton-holography (Mu

29 ther evaluated based on cheminformatics/data mining analyses and activity against evolutionarily dist

30 ssible to run efficiently large genomic data mining analyses.

31 The surface mining and bitumen extraction of oil sands (OS) generate

32 s has directed increasing attention to urban mining and circular economy.

33 pirable crystalline silica (RCS) produced in mining and construction industries can cause life-threat

34 ing is widely applied and established in the mining and consulting businesses for AMD prediction, and

35 he mammalian circulating system through text mining and database fusion.

36 rado River watershed in Madre de Dios, Peru, mining and deforestation have increased exponentially si

37 eaction datasets using a combination of data mining and experiments.

38 Surface mining and extraction of oil sands results in the genera

39 eb application designed to allow visual data mining and hypothesis testing from the multidimensional

40 lly annotated data is key to developing text-mining and information-extraction algorithms.

41 In this paper, data mining and integration is leveraged to inspect target in

42 ystem specializes in "knowledge-guided" data mining and machine learning algorithms, in which user-pr

43 ialized metabolite biosynthetic gene cluster mining and metabolite analysis revealed an armoury of kn

44 ent occurs both naturally and as a result of mining and ore-processing in alluvial sediments, where i

45 nsion of the CRISPR toolbox through ortholog mining and PAM engineering.

46 Genome mining and phylogenetic analyses revealed two Ahr-encodi

47 Surface coal mining and processing impose public health risks on resi

48 to the use of lead slag from silver and lead mining and processing in the region around Cordoba.

49 We then employed text mining and PubChem crowdsourcing to associate phrases re

50 ncluding lanthanides (Lns), would facilitate mining and recycling of these elements.

51 Database mining and retrospective screening analyses confirm that

52 st substantial overall growth in lead/silver mining and smelting emissions-and so silver production-f

53 Currently, data mining and statistical approaches are confined to identi

54 fic HML-2 elements using both in silico data mining and targeted deep-sequencing approaches.

55 trate this approach, we focus on deep-seabed mining and the International Seabed Authority, whose man

56 Bitumen mining and upgrading in northeastern Alberta, Canada, re

57 importance of atmospheric Se deposition from mining and upgrading of bituminous sands in northern Alb

58 supported by the results from the TCGA data mining and validated by immunohistochemical staining on

59 In this article, we employ text mining and word cloud analysis techniques to address the

60 ent of high-throughput data generation, data mining, and advanced computational modeling has thrown t

61 ting resources for literature searches, text mining, and large-scale prediction of physicochemical an

62 article introduces the concept of Agile text mining, and presents the PubAnnotation ecosystem as an e

63 m bioinformatics studies and biomedical text-mining applications.

64 is done in speech recognition and other data mining applications.

65 parts are crucial for building medical text mining applications.

66 ticular relevance because our extensive data-mining approach suggests the absence of naturally presen

67 ddition, we used a semi-automated literature mining approach to identify over 200 stem cell gene mark

68 We have also used a text-mining approach to search for microRNA gene names in the

69 m maps derived from satellite images; a data-mining approach was used to select variables.

70 urgent need for comprehensive and automated mining approaches.

71 w emerging challenges from these new reality-mining approaches.

72 Risks of Se exposure and toxicity related to mining are thus not constrained to aquatic systems but e

73 iple types of water resources in the western mining area in China, their supply-demand balance by usi

74 The study took place in the cobalt mining area of Lubumbashi (DR Congo) and involved 120 no

75 Most mining areas (82%) target materials needed for renewable

76 Here, we map mining areas and assess their spatial coincidence with b

77 Individuals who leave coal mining areas carry more EA-increasing alleles on average

78 threat severity) compared to the overlapping mining areas that target other materials.

79 s clustering in lower SES areas such as coal mining areas.

80 cation systems based on high-throughput text-mining as well as on a hierarchical clustering of the as

81 and steel slag) to obviate the need for new mining, as well as uncertainties in soil weathering rate

82 Artisanal and small-scale gold mining (ASGM) is a significant contributor of mercury (H

83 global proliferation of artisanal-scale gold mining (ASGM), with catastrophic consequences for human

84 the rice bran quality, sequence based allele mining at OsPLDalpha1 locus (3.6 Kb) was performed acros

85 By mining available chromatin conformation data, the possib

86 LAITOR4HPC can be used for an efficient text mining based construction of biological networks derived

87 a novel insight into time-series ACRHP data mining based on time-series ANLI for capital city scale

88 ssification of scientific literature by text mining-based classification of article abstracts.

89 information collection by implementing text mining-based classification of primary biomedical litera

90 Pattern-mining-based graph learning and analysis techniques repo

91 isGReMLIN, a web server that couples a graph mining-based strategy to detect motifs at the protein-li

92 lex microbial communities, using association mining between chemical and metatranscriptomic data obta

93 s of a reactor to advance human industry and mining beyond Earth.

94 study estimates the environmental impact of mining Bitcoin, the most well-known blockchain-based cry

95 (JBrowse), genome annotation (Apollo), data mining (BovineMine) and sequence database searching (BLA

96 romatograms, or images in styles new to text mining but familiar to analytical chemistry.

97 hropogenic emissions is attributable to coal mining, but these emissions may be changing; China enact

98 ectives: it allows the reformulation of text mining by biomedical researchers from the task of assemb

99 ed for each detected compound; however, data mining can be labor intensive.

100 High-throughput phenotyping and data mining can capture dozens or hundreds of traits from the

101 driving mouse fetal intestinal maturation by mining chromatin accessibility data for transcription fa

102 In this work, genome mining combined with the use of a fluorogenic azide-base

103 mine drainage from mountaintop removal coal mining compared to unimpacted streams in the region.

104 Deep sea mining concerns the extraction of poly-metallic nodules,

105 s process-affected water (OSPW) seepage from mining containments and discriminating any such seepage

106 ons of IgScout by developing a probabilistic MINING-D algorithm for D gene reconstruction, apply it t

107 genes, they are not tuned for the literature mining data and are also based on strong assumptions, wh

108 ong genes based on the biomedical literature mining data.

109 novated data structure for new types of data mining, data reanalysis, and networked genetic analysis

110 Here, through systematically mining databases for correlations between the cytotoxici

111 ignals are weak in the biomedical literature mining dataset.

112 will be affected by, and could recover from, mining disturbance.

113 Mining drug-disease association and related interactions

114 Our study advances this approach for mining druggable modifiers of disease-associated protein

115 inese indigenous pig breeds and benefit gene mining efforts to improve major economic traits.

116 sfusion outcomes in stable adult patients by mining electronic health records (EHRs) and linked blood

117 Genome mining enabled identification of the cytochrome P450, Nz

118 ing, oil and gas extraction, and deep-seabed mining), environmental management and developing regulat

119 We carried out a mining experiment on the International Space Station to

120 uatic insect Se flux was not associated with mining extent because the mass of emerging insects did n

121 and riparian organisms to determine whether mining extent increased Se uptake in stream biofilms and

122 Adult insect biomass was not related to mining extent or Se concentrations in biofilm.

123 were significantly and positively related to mining extent, aquatic insect Se flux was not associated

124 Se concentration increased (p = 0.006) with mining extent, reaching a maximum value of 16.5 mug/g of

125 have transformed medical biology into a data mining field, where new data sets are routinely dissecte

126 These result from underestimating mining footprints relative to habitats targeted and poor

127 range, a newly developed extension of a data mining framework that features workflow design through v

128 orphogenetic motifs using a time series data mining framework.

129 Interest in text mining full-text biomedical research articles is growing

130 a next-generation biclustering algorithm for mining genetic data.

131 ) it is the first online server specifically mining genomes for Acr-Aca operons; (ii) it provides a m

132 ast-carboxylating variants by systematically mining genomic and metagenomic data.

133 tum and SN were characterized using database mining (GlycoStore), exoglycosidase digestions, and liqu

134 insects did not change appreciably over the mining gradient.

135 d by many mining operations could offset net mining greenhouse gas emissions, while simultaneously gi

136 arameters, extracted directly from dual data mining, help characterize each airline's operational eff

137 Leaf-chewing and leaf-mining herbivores, and predatory ants and spiders, were

138 hing 95 and 26 mug/g of dw, respectively, in mining-impacted streams.

139 saics, we show that the effects of simulated mining impacts, induced during the "DISturbance and reCO

140 sed learning strategy with frequent subgraph mining in order to detect conserved structural arrangeme

141 D is threatened by encroachment of oil sands mining in the Athabasca watershed and hydroelectric dams

142 r temporal networks but also for data stream mining in topological space.

143 from cave deposits in 1921, during metal ore mining in what is now Zambia(1).

144 Genome mining indicates that nrtR appears in a strain-specific

145 ch could be utilized in biomedical, food and mining industries, especially for circumstances where hi

146 This novel process will help in the mining industry evolving toward more sustainable process

147 nion, a crucial intermediate in today's gold mining industry, by alpha-cyclodextrin.

148 mental pollution problem associated with the mining industry.

149 oncern in regions affected by processes like mining, industry, and agriculture.

150 on mechanism to strengthen the capability of mining information.

151 articular, as well as gall-inducing and leaf-mining insects, manipulate plant development to form uni

152 proffered here that hypothesis-driven, data-mining-inspired, and "allochthonous" knowledge acquisiti

153 However, efficient data mining is challenging for experimental biologists with l

154 the discovery of new bacteriocins by genomic mining is hampered by their sequences' low complexity an

155 ve growth of the scientific literature, text mining is increasingly used to extract biological pathwa

156 Notably, an essential step underlying such mining is the extraction of figures and captions from pu

157 the highly valued data science challenge of mining knowledge graphs.

158 Mining large microbial strain collections with the most

159 ificant impact from supply concentration and mining limitations in the short term.

160 We applied phylogeny-led genome mining, metabolite analyses and biological control assay

161 ective of this study was to use a novel data mining method that can simultaneously evaluate thousands

162 ures in simulated data, while the Logic Data Mining method, MALA, falls short.

163 ve matrix factorization (NMF) and logic data mining MicroArray Logic Analyzer (MALA), by applying the

164 Here we use three complimentary data mining modalities alongside biochemical and cell biologi

165 adratic polynomial regression is the optimal mining model for estimating the ACRHP without adjustment

166 rks (volume-velocity-variety and measurement-mining-modeling-manipulation, respectively).

167 ly to their effects on disease dynamics, our mining-modelling approach integrates machine learning an

168 future environmental impacts of the Bitcoin mining network.

169 However, genome mining new Acr proteins is challenging due to the lack o

170 timated ocean microbial diversity, and allow mining novel microbial lineages and gene resources.

171 Here we show that data mining of a computational screening library of over 300,

172 NTR and related genes through extensive data mining of a PubMed literature search including published

173 both Amphetamine and Theophylline with data mining of available literature.

174 Genome mining of biosynthetic pathways streamlines discovery of

175 In conjunction with IAV genome sequencing, mining of electronic records pinpointed the origin of th

176 Mining of genome sequence data reveals a selective sweep

177 ces in high-volume sequencing technology and mining of genomes from metagenomic samples call for rapi

178 there is need for a tool to facilitate data mining of glycan array data.

179 Data mining of human adult bulk and single-cell retinal trans

180 d classification in a framework that enables mining of image sets for both novel and experienced user

181 stewaters associated with oil refineries and mining of oil sands.

182 y expressed genes in mouse ST and FT fibers, mining of our microarray data and a qPCR analysis of qua

183 Data mining of our RNA-Seq analysis of CD14(+)monocytes showe

184 Here, based on deep mining of over half million GT-A fold sequences, we defi

185 Mining of protein domains across the genome, followed by

186 l of other hazardous heavy metals or the bio-mining of rare metals.

187 Data mining of RNA-Seq from the Cancer Genome Atlas (TCGA) un

188 point towards a generalized approach to the mining of scientific literature.

189 the explosion of (meta)genomic data, genome mining of specialized metabolites has become a major tec

190 Genome mining of Streptomyces reveals high diversity of BGCs an

191 ing tools in digital pathology, which enable mining of subvisual morphometric phenotypes and might, u

192 ployed an innovative computational platform, Mining of Synthetic Lethals (MiSL), to identify syntheti

193 Mining of the ATDN dataset suggests that monodominance i

194 Data mining of the brain transcriptome in Parkinson disease p

195 To facilitate visualization and mining of the high-throughput experimentation (HTE) data

196 Data mining of the present multi-omics analysis identifies tw

197 opensities of protein-ligand atom pairs from mining of the Protein Data Bank.

198 research into human diseases through the re-mining of the rich accumulated data.

199 To facilitate mining of this rich dataset, we provide a web-based reso

200 This work shows that the mining of Tunisian metalliferous ores between the second

201 he magnesium-rich tailings generated by many mining operations could offset net mining greenhouse gas

202 ea sediment plumes is important in designing mining operations that are ecologically acceptable.

203 n of benthic sediment plumes, resulting from mining operations, is significantly reduced by the effec

204 charge and tended to be higher downstream of mining operations, while MeHg concentrations and loads i

205 support the need to manage dust in the metal mining operations.

206 eployed in wetlands close to bitumen surface mining operations.

207 By mining our multiomic datasets, we identified a core MYC2

208 perspective, we benchmarked the association-mining performance of 32 distinct subnetwork permutation

209 The second step involves an "epitope mining" phase, in which a second panel of antibodies is

210 Conventional text mining pipelines provide tools to automatically extract

211 failed drugs) and (ix) build custom compound mining pipelines.

212 king classifier (J48) is applied over a data-mining platform (Weka) to measure accuracy and linear re

213 Mining potentially influences 50 million km(2) of Earth'

214 cedent for the study of reservoirs, big data mining, predictions and subsequent outbreaks of HPAI and

215 This task can be considered a text mining problem that requires reading a lot of academic d

216 The recently invented data mining procedure, Mass-Remainder Analysis (MARA), was fu

217 Lipid Mini-On uses a text-mining process to bin individual lipid names into multip

218 ch as regulations on industrial emissions or mining processes, dietary changes, or consumer behaviora

219 However, SOA formation from the OS mining, processing, and subsequent tailings, especially

220 rinciple, be integrated into commercial gold-mining protocols and lead to significantly reduced costs

221 As such, there is a growing interest in mining published biomedical figures and in utilizing the

222 ental impact of platinum-group element (PGE) mining, recycling techniques are being explored.

223 ropose a flexible and powerful framework for mining regional imaging genetic associations via voxelwi

224 Molybdenum contamination is a concern in mining regions worldwide.

225 ility of OSCI in iPSC studies and literature mining related to bipolar disorder.

226 ery of new specialized metabolites by genome mining represents a very promising strategy in the quest

227 ted RCC GCN described herein is a novel data mining resource for the assignment of polygenic biomarke

228 When compared to other TF mining resources, MAGIC displayed favourable performance

229 Mining RNA-seq and whole genome sequencing data from oth

230 ance with information from melanoma database mining, RNAscope analysis demonstrated a progressive inc

231 nges in total heavy metal concentration of a mining rock drainage was observed in laboratory tests wi

232 Coordinated development for mining safety, mine water utilization, and remediation a

233 is study establishes both the feasibility of mining seaweed genomes for their biotechnological prowes

234 AT-less type I PKSs through in silico genome mining, sequence and genome neighbourhood network analys

235 cted at a uranium in situ recovery (solution mining) site to evaluate postmining uranium natural atte

236 contamination from possible sources such as mining, smelting, battery recycling, waste incineration,

237 pared lead (Pb) immobilization efficacies in mining/smelting impacted soil using phosphate and iron a

238 ng Independent Components Analysis, and data mining strategies developed to automatically detect and

239 terial genomes being sequenced, similar host mining strategies might become feasible to access furthe

240 our study provides useful resources and gene mining strategies to explore complex quantitative traits

241 However, data mining strategy should be developed for complete utiliza

242 ctor binding sites, using a genome-wide data-mining strategy.

243 on and classification of time series in data mining studies.

244 s based on an extension of our in-house text-mining system, SciMiner.

245 mated annotations from state-of-the-art text mining systems for genes/proteins, genetic variants, dis

246 Temporal network mining tasks are usually hard problems.

247 match to easily and efficiently perform data-mining tasks on large and highly heterogeneous datasets.

248 Here we show that design-thinking and data-mining techniques can be leveraged to optimize genomic p

249 New image-based 'big data' mining techniques enable the large-scale comparison of i

250 ning MedDRA standard terminologies with data mining techniques facilitated computer-aided ADR analysi

251 Using data mining techniques on existing microarray data, we found

252 tions, we leverage network analysis and data mining techniques to assess, visualize, and project ball

253 h similarity networks, enabling visual graph mining techniques to uncover new insights from the "ocea

254 erefore requires advanced data reduction and mining techniques.

255 tion of genomic data and well-developed data mining technologies can overcome these limitations and a

256 ew annotation interface that integrates text mining technologies.

257 s in the face of successive defeats, loss of mining territory, and the imposition of war reparations

258 Data mining the amine-acid coupling system produced here shou

259 Mining the antibody repertoire of plasma cells and plasm

260 a cosine similarity approach that focused on mining the available data before developing models; this

261 These are our first results of mining the database and support recent findings that sug

262 Text mining the electronic health records of 14,017 patients,

263 We conclude that mining the PDB with IM-MS data is a time-effective way t

264 Mining the previously described parasite PKG-dependent p

265 bility of Electronic Health Records for data mining, the identification of relevant patterns of co-oc

266 these modules with regulatory genes and then mining them to discover new molecular biology.

267 ton Zone, the impacts of polymetallic nodule mining there may be greater than expected, and could pot

268 e.plantbiology.msu.edu) for viewing and data-mining these resources and deployed two new views on the

269 Mining this dataset, we discovered that ERCC6L2 (which i

270 Mining this treasure trove will allow for the intentiona

271 the production of many metals, creating new mining threats for biodiversity.

272 Mining threats to biodiversity will increase as more min

273 eded to explore the potential of association mining to highlight enzymes likely involved in catalyzin

274 ovember 2015 using machine learning and text mining to reduce the screening for inclusion workload an

275 egrated Modeling-in vitro/vivo-Clinical Data Mining), to identify an FDA-approved drug suitable for u

276 ct potential utility of Solr-Plant as a data mining tool for extracting and correcting plant species

277 C-oriented version of PESCADOR's native text mining tool, renamed to LAITOR4HPC, aiming to access an

278 Using a data-mining tool, we extracted quantitative and qualitative d

279 BGCs were identified using the antiSMASH BGC-mining tool.

280 Text mining tools configure an essential approach to building

281 Text-mining tools have rapidly matured: although not perfect,

282 Most currently available text mining tools share two characteristics that make them le

283 ish Web-based single-access systems and data mining tools to make the available resources more access

284 es in DNA sequencing technologies and genome mining tools, new biosynthetic enzymes capable of instal

285 e web server based on LAITOR and NLProt text mining tools, which retrieves protein-protein co-occurre

286 common cases that remain difficult for text-mining tools.

287 other resources (GWAS Catalog and literature mining), totaling 5019 unique GWAS data sets and 15 770

288 an set out on her own to the wild and remote mining towns of Colorado, little did she know that this

289 ea (e.g., fisheries, oil-gas extraction, and mining) urgently imposes the development of novel monito

290 b, erlotinib, afatinib, osimertinib) by data mining using the FDA adverse event reporting system (AER

291 viding an elegant example of the benefits of mining viral proteins for therapeutically useful informa

292 riendly online platform for interactive data mining, visualization, and download.

293 Through data mining, we also identified astrocyte pathways in Hunting

294 Using text data mining, we assessed general public attention in France,

295 eveloped bioinformatic methods for TCR motif mining, we have built a reduced set of high-quality TCR

296 quantitative trait locus mapping and genome mining, we identified an (S)-(+)-linalool synthase (NaLI

297 propose a novel approach that combines data mining with theoretical models of disease dynamics.

298 matches between the assumptions of much text mining work and the preferences of potential end-users.

299 efore, we have developed a non-targeted data mining workflow to extract a higher number of known and

300 nd options for users wishing to conduct data mining workflows, and discuss our efforts to build a rob