ライフサイエンスコーパス: mine

1 of radioactive-enriched material from the U-mine.

2 ly impacted by water discharge of a former U-mine.

3 ation prediction and mass-spectrometric data mining.

4 gets for functional investigation or allelic mining.

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

6 of the environmental impacts of deep-seabed mining.

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

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

9 are created with support from automated text mining.

10 dispersion of plumes generated by full-scale mining.

11 come a cornerstone of knowledge-based genome mining.

12 n chemistry, medicine, materials science and mining.

13 ive manner, to facilitate faster visual data mining.

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

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

16 unctional discovery of new enzymes by genome mining.

17 ditional time required for data analysis and mining.

18 making it challenging to use for image data mining.

19 rine environment from the harmful effects of mining.

20 e research on document-level biomedical text mining.

21 eded for effective management of deep-seabed mining.

22 We then applied decRiPPter to mine 1,295 Streptomyces genomes, which led to the identi

23 We also mined a tumor-infiltrating lymphocyte sample from a pati

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

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

28 ssible to run efficiently large genomic data mining analyses.

29 s first proposed as a surrogate indicator to mine and forecast the average housing prices in the inla

30 and to use this automatic algorithm to data-mine and identify the sublingual microcirculatory variab

31 and are available for researchers to further mine and integrate.

32 bjects were from two cohorts: 1) crocidolite mine and mill workers and Wittenoom Township residents a

33 ic Rim an international approach how to data mine and model-predict LP AI and its ecological niche wi

34 The Taenia solium genome was mined and primers and probes were designed to target rep

35 hnologies are required to remediate iron ore mines and address the increasing number of tailings (min

36 Mines and caves provide essential roosting places for ba

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

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

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

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

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

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

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

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

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

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

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

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

49 Genome mining and phylogenetic analyses revealed two Ahr-encodi

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

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

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

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

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

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

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

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

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

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

60 m bioinformatics studies and biomedical text-mining applications.

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

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

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

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

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

66 the proportion of stream water sourced from mined areas and mineralized strata will increase under p

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

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

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

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

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

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

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

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

75 By mining available chromatin conformation data, the possib

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

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

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

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

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

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

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

83 long this stored soil P can be effectively 'mined' by crops in a profitable way.

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

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

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

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

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

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

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

91 ic lateral sclerosis (ALS) using the Project MinE data involving 12,577 patients with ALS and 23,475

92 itizen science-generated data with algorithm-mined data and identify ways in which the two approaches

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

94 ong genes based on the biomedical literature mining data.

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

96 ignals are weak in the biomedical literature mining dataset.

97 huascopeptin, was isolated following genome-mined discovery of a new biosynthetic gene cluster in ex

98 Mixing of acid mine drainage (AMD) and hydraulic fracturing flowback fl

99 Acid mine drainage (AMD) is the most significant environmenta

100 s and stream organisms that receive alkaline mine drainage from mountaintop removal coal mining compa

101 In this work, a novel study for acid mine drainage remediation and reutilization by means of

102 hallow-sea hydrothermal vents, sites of acid mine drainage, and acid-sulfate crater lakes, may be ide

103 vironmental waters from sources such as acid mine drainage, antifouling paints, and industrial waste

104 reactor and aerobic pyrite oxidation in acid mine drainage.

105 Mining drug-disease association and related interactions

106 Microorganisms are employed to mine economically important elements from rocks, includi

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

108 Genome mining enabled identification of the cytochrome P450, Nz

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

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

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

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

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

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

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

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

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

118 e cells as a model BBB substrate on which to mine for new RMT-targeting antibody pairs.

119 dated a quantitative metagenomic approach to mine for phenazine biosynthesis and biodegradation genes

120 ping, and predicted biological pathways were mined for candidate drug targets.

121 These profiles can be mined for relevant patterns, revealing unexpected biolog

122 into a multiple sequence alignment which is mined for single-nucleotide polymorphisms (SNPs).

123 Bacterial MinD and MinE form a standing oscillatory wave which positions th

124 d, borrowed from computer vision, adapted to mine fragment subpockets and compare them to whole ligan

125 orphogenetic motifs using a time series data mining framework.

126 roach to Perturb-seq profiling of strong GIs mined from a growth-based, gain-of-function GI map.

127 ibrary consisting of 28 different nifB genes mined from the Structure-Function Linkage Database and e

128 ed protein function prediction method, which mines functional information from a broad range of simil

129 mented as a graphical user interface and can mine gene regulations, either by applying a dynamic Baye

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

131 Here we have mined genome and transcriptome sequence resources for 3

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

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

134 world is destined for final disposal in deep-mined geological repositories.

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

136 insects did not change appreciably over the mining gradient.

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

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

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

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

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

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

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

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

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

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

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

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

149 mental pollution problem associated with the mining industry.

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

151 on mechanism to strengthen the capability of mining information.

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

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

154 Mine is a story of doing science for 60 years, and I am

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 discovery create a network of genes and then mine it in order to uncover previously unknown regulator

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 In this study we mine metagenomic data and identify a clade of Caudoviral

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

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

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

167 l become more diversified geographically and mined more as a byproduct of nickel (Ni) over this perio

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

169 We mined oat transcriptome data to identify candidate cytoc

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

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

172 Mining of genome sequence data reveals a selective sweep

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

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

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

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

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

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

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

180 Genome mining of Streptomyces reveals high diversity of BGCs an

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

182 Data mining of the brain transcriptome in Parkinson disease p

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

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

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

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

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

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

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

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

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

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

193 ning Wilderness contain a greater density of mines (our indicator of threat severity) compared to the

194 This region has been heavily mined over the past 150 years.

195 excess industrial silicate materials (basalt mine overburden, concrete, and iron and steel slag) to o

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

197 Conventional text mining pipelines provide tools to automatically extract

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

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

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

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

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

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

204 Accordingly, we mined Quercus suber EST libraries for OSC fragments to u

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

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

207 ight the potential to develop strategies for mine remediation and waste stabilization by accelerating

208 To see a face like mine represented in science requires intentional action

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

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

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

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

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

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

215 presence of heavy metals in urban water and mine spill samples, based on the the dynamic transcripti

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

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

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

219 ent affected by the August 2014 Mount Polley mine tailings dam failure in British Columbia, Canada, a

220 illustrate the methodology using an exemplar mine tailings Fe(2)O(3)-SiO(2) system.

221 hreats to biodiversity will increase as more mines target materials for renewable energy production a

222 Temporal network mining tasks are usually hard problems.

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

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

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

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

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

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

229 ew annotation interface that integrates text mining technologies.

230 ual screening provides an efficient means to mine the dark chemical space, which could contribute to

231 Lemon will become a one-stop-shop to quickly mine the entire PDB to generate desired structural biolo

232 ntly utilized a phylogeny-guided approach to mine the genomes of Actinomycetes species for glycopepti

233 before developing models; this approach can mine the most relevant data concerning the prediction ta

234 , molecular weight, and oligomeric states to mine the Protein Data Bank (PDB) for potentially similar

235 Here, we mined the data and performed a deep in silico analysis t

236 We mined the datasets from The Cancer Genome Atlas (TCGA) r

237 of cross-neutralizing antibody responses, we mined the memory B cell repertoire of a convalescent sev

238 To test this assertion, we text-mined the methods sections of about two million papers i

239 biosynthesis and functions in maize, we have mined the UniformMu transposon resource to identify inse

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

241 Mining the antibody repertoire of plasma cells and plasm

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

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

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

245 Together with MinC and MinE, the Min system restricts assembly of the FtsZ-ring

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

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

248 However, methods that efficiently mine these data are yet to be developed.

249 d track the dynamics of complex ciliates and mine these data for the hidden structure, patterns, and

250 source PFAS data analysis software exists to mine these extensive data sets.

251 re are few tools to allow the researchers to mine these resources for mechanisms of cancer processes

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

253 While it is possible to mine this natural diversity to obtain useful biocatalyst

254 rgest known database of MS binding data, and mined this database to show the effect of gene expressio

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

256 Mining this treasure trove will allow for the intentiona

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

258 Mining threats to biodiversity will increase as more min

259 To allow bats access to mines through culverts without affecting their echolocat

260 hane, which is directly vented from the coal-mine to the atmosphere, has not yet drawn sufficient att

261 The landscape is mined to reveal combinatorial control of interleukins, c

262 es that the melanoblast transcriptome can be mined to uncover targetable pathways for melanoma therap

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

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

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

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

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

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

269 Text mining tools configure an essential approach to building

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

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

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

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

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

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

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

277 Here, we mine transcriptomics datasets to investigate signalling

278 During this process MinE undergoes fold switching as it interacts with diffe

279 completely utilizing the energy potential of mined uranium, (b) reducing the footprint of nuclear geo

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

281 To mine valuable inferences from the large volume of litera

282 to quantify mean source rates for three coal mine vents (San Juan, United States; Appin, Australia; a

283 rom 2320 to 5850 kg h(-1) for the three coal mine vents, with 40-45% precision (1sigma), and generall

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

285 ssions, while simultaneously giving value to mine waste products.

286 To verify the robustness of the method, a mine waste rock was also tested in the microchip with na

287 d address the increasing number of tailings (mine waste) dam collapses worldwide.

288 n three profiles up to a depth of 80 cm in a mine water impacted peatland in northern Finland.

289 hemical and hydrological data from abandoned mine watersheds demonstrated that (1) point sources of p

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

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

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

293 Diesel-powered vehicles operating in the mines were found to be an important source during NO(x)

294 someone matches their physiological state to mine, what influence does this have on me-the person exp

295 n sequencing, the complementary datasets are mined with a custom workflow to increase sensitivity, sp

296 ne marketing, have websites that can be data-mined with content analysis, and advertise therapy for o

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