ライフサイエンスコーパス: bioinformatic

1 th the availability and accuracy of detailed bioinformatics.

2 examined using small molecule discovery and bioinformatics.

3 been long-standing computational problems in bioinformatics.

4 rom ICIBM 2016 program for publishing in BMC Bioinformatics.

5 pollutants, epidemiology, public health, and bioinformatics.

6 quence alignment is a fundamental problem in bioinformatics.

7 implement efficient algorithms in structural bioinformatics.

8 amiliar to researchers without experience in bioinformatics.

9 ), immunoprecipitation (IP), immunoblots and bioinformatics.

10 extraction, sample handling environment, and bioinformatics.

11 eachEnG will help promote active learning in bioinformatics.

12 of the MtoolBox platform (Calabrese et al., Bioinformatics 30(21):3115-3117, 2014), and includes mos

13 (2alpha-, 2omega-, and 2gamma-gliadin) using bioinformatic algorithms for the presence of peptides pr

14 n, in terms of variant discovery, is unclear.Bioinformatic algorithms to identify SNPs and INDELs use

15 sequencing methods coupled with specialized bioinformatic analyses have recently uncovered tens of t

16 Bioinformatic analyses identified disease-specific singl

17 Bioinformatic analyses indicated that the L142 protein c

18 horetic mobility shift assay experiments and bioinformatic analyses led to the identification of an a

19 rowth control, we performed experimental and bioinformatic analyses of 710 individuals with overgrowt

20 Evolutionary and bioinformatic analyses of host and nonhost plant genomes

21 Bioinformatic analyses of the reported associations iden

22 ian and European populations, and to perform bioinformatic analyses on all 82 reported SLE loci to id

23 Bioinformatic analyses revealed that gene expression fea

24 Bioinformatic analyses revealed that those differentiall

25 Bioinformatic analyses suggest that A. aeolicus and rela

26 Bioinformatic analyses suggest that these repair differe

27 Structural and bioinformatic analyses suggested that a cluster of mutat

28 Experimental measurements and bioinformatic analyses suggested that the dephosphorylat

29 Experiments and bioinformatic analyses support the hypothesis that all S

30 Bioinformatic analyses using DNAm to infer immune cell p

31 dependent on high-throughput sequencing and bioinformatic analyses, few studies follow up on the ini

32 However, this suggestion was only based on bioinformatic analyses, not experiments.

33 ious deep-sequencing techniques and in-depth bioinformatic analyses.

34 /-) mouse brain using proteomics followed by bioinformatic analyses.

35 )-30c, which was supported by the results of bioinformatics analyses and dual-luciferase reporter ass

36 Finally, bioinformatics analyses directed to identify which gene

37 Two independent bioinformatics analyses identified more than 20 VZV-enco

38 One NGS-identified sequence common to both bioinformatics analyses mapped to the repeat regions of

39 Moreover, bioinformatics analyses of these phosphoproteomes provid

40 Sequencing and bioinformatics analyses showed that EAE-induced gene exp

41 -generation RNA sequencing and comprehensive bioinformatics analyses to characterize the transcriptom

42 ween two loci on the genome, with subsequent bioinformatics analyses typically including annotation,

43 ve important implications in cancer biology, bioinformatics analyses, and ultimately precision medici

44 the technical burden imposed by each step of bioinformatics analyses, revealing the large number of s

45 In addition, bioinformatics analyses, sequential ChIP and coimmunopre

46 gained about mammalian development and from bioinformatics analyses, we recently developed a neonata

47 subcellular localization, gene knockout, and bioinformatics analyses.

48 populations and the application of stringent bioinformatics analyses.

49 ining targeted quantitative PCR screens with bioinformatic analysis and experimental validation we de

50 By combining bioinformatic analysis and genetic and molecular approac

51 Bioinformatic analysis and identification of miR-21 and

52 Here, we employed bioinformatic analysis and immunofluorescence microscopy

53 Bioinformatic analysis demonstrated that pathways relate

54 An in silico bioinformatic analysis identified 4 influenza- and 3 all

55 However, our recent bioinformatic analysis identified in RecQ4 a putative RQ

56 Bioinformatic analysis of human breast tumors in The Can

57 Bioinformatic analysis of the borrelial genome revealed

58 Bioinformatic analysis of the identified protein partner

59 Bioinformatic analysis revealed a close sequence relatio

60 Bioinformatic analysis showed that fungal Fzo1 proteins

61 Bioinformatic analysis suggested 81 interactions among t

62 Bioinformatic analysis suggested that CaMYB31 could be i

63 Bioinformatic analysis suggests that neurodegeneration r

64 Bioinformatic analysis to identify Hdac4-regulated genes

65 A bioinformatic analysis was performed to further identify

66 Bioinformatic analysis was used to examine relevant biol

67 high-throughput protein array screening and bioinformatic analysis, we identified cortactin as a nov

68 Using bioinformatic analysis, we identified over a thousand of

69 Here, by using mass spectrometry, bioinformatics analysis and luciferase reporter assay, w

70 Bioinformatics analysis and mutagenesis strategies were

71 lution of ligands by exponential enrichment, bioinformatics analysis and reverse genetics that these

72 Using bioinformatics analysis and verified by biochemical assa

73 Further bioinformatics analysis confirmed that 1649 genetically

74 Of note, bioinformatics analysis detected a prominent K-RAS signa

75 The bioinformatics analysis indicated that these Khib-modifi

76 Importantly, the bioinformatics analysis of microarray gene expression da

77 Bioinformatics analysis of the primary protein sequences

78 Furthermore, bioinformatics analysis of thousands of cancer genomes r

79 matic similarities of the two BioH proteins, bioinformatics analysis places the freestanding and oper

80 Bioinformatics analysis predicted that miR-4443 regulate

81 ers for an increase in [Ca(2+)]i Moreover, a bioinformatics analysis predicts that many of the dysreg

82 Bioinformatics analysis revealed OpaR binding sites in t

83 Bioinformatics analysis showed that genes regulating res

84 ly accessible zebrafish model by integrating bioinformatics analysis with experimental validation.

85 es is available for different aspects of the bioinformatics analysis, they often produce results that

86 extensive missing data and requires complex bioinformatics analysis.

87 d by next-generation sequencing and detailed bioinformatics analysis.

88 pathophysiology of psychiatric disorders in bioinformatics analysis.

89 aphic user interface for data management and bioinformatics analysis.

90 found broad usage by the structural biology, bioinformatics, analytical and pharmaceutical communitie

91 hnical capacity for metabolomics approaches, bioinformatic and chemoinformatic tools for handling lar

92 Furthermore, our bioinformatic and functional studies demonstrated that F

93 Combining transcriptome, bioinformatic and mutagenesis analyses, we delineate seq

94 Also, we have identified by bioinformatic and qPCR analysis, different miR expressio

95 By combining in vitro experiments with bioinformatic and RNA-seq data, metabolic responses to n

96 and accessibility of AR and VR contents for bioinformatics and cheminformatics applications.

97 R) and Virtual Reality (VR) in the fields of bioinformatics and cheminformatics to visualize complex

98 Bioinformatics and computational biology play a critical

99 f a genome is becoming an important topic in bioinformatics and computational biology.

100 By taking advantage of metagenomics, bioinformatics and conventional Sanger sequencing, our m

101 dichroism spectroscopic data and associated bioinformatics and experimental metadata.

102 Subsequent bioinformatics and functional analyses of the human H2-O

103 Using structural insight combined with bioinformatics and functional analyses, we show that nat

104 BepiPred-2.0 will be a valuable tool for the bioinformatics and immunology community.

105 s that characterise the relationship between bioinformatics and life science.

106 Combining bioinformatics and public domain chromatin information w

107 Integrative bioinformatics and reverse genetic approaches were used

108 Bioinformatics and structural modelling studies indicate

109 Here we use bioinformatics and synthetic biology to mine the human m

110 Bioinformatics and systems biology approaches identified

111 s developed and maintained by experts in RNA bioinformatics and the Galaxy framework.

112 ing testable hypotheses requires training in bioinformatics and the skills to efficiently perform dat

113 sion medicine in COPD, we need to integrate (bioinformatics) and interpret (clinical science) the vas

114 Using a combination of genetic, bioinformatic, and imaging approaches, we find that temp

115 We then combined fine-mapping, bioinformatics, and bench-based approaches to functional

116 By combining proteomics, bioinformatics, and cell biology approaches, we found th

117 It fills a gap in RNA structural bioinformatics, and is freely accessible.

118 Next generation sequencing, bioinformatics, and segregation analyses followed, to de

119 mutations in mice using exome sequencing and bioinformatic annotation to prioritize mutations in gene

120 anipulation steps, and is extensible to many bioinformatics applications.

121 Here, we used a structural bioinformatics approach to analyze the mutations associa

122 Here, we present a novel bioinformatics approach to detect congruent differences

123 Using a bioinformatics approach, the authors identified several

124 successfully identified using the integrated bioinformatics approach.

125 In this study, we used bioinformatic approaches to identify kinases that regula

126 BP records (n = 86 species) and show through bioinformatics approaches that across mammalian species

127 Using bioinformatics approaches, a novel microRNA named TrkC-m

128 nalyses, in combination with biochemical and bioinformatics approaches, we identified a region on VP2

129 ope binding, DNA methylation signatures, and bioinformatics approaches, will further change the lands

130 nii and 5 S. sanguinis strains using various bioinformatics approaches.

131 examples of applications in several areas of bioinformatics are available open-source at www.biocondu

132 High-throughput genome sequencing and bioinformatics are enhancing our ability to investigate

133 usly named YedZ, was mainly characterized by bioinformatics as a member of the FRD superfamily of hem

134 We also used a bioinformatics-based approach to assess the activity of

135 the conformational landscape defined by this bioinformatics-based study is likely common to all GPCR-

136 Here, we report combined bioinformatic, biochemical, mutational, and X-ray crysta

137 haracterized these mutations using genomic-, bioinformatic-, cell biology-, and physiology-based func

138 The current bioinformatics challenge is to interpret the data and un

139 gation of bioactive milk peptides, including bioinformatics, chemometric tools, and proteomic/peptido

140 led differences in extraction efficiency and bioinformatic classification.

141 It will be critical for the bioinformatics community to develop and adopt data stand

142 oinformaticians is an important task for the bioinformatics community.

143 s from diverse fields struggle with grasping bioinformatic concepts only from classroom lectures.

144 guidelines to create, manage and distribute bioinformatics containers with a special focus on omics

145 ased on the reported population frequencies, bioinformatic criteria, and familial segregation, we ide

146 The bioinformatics data substantiated our findings showing t

147 Furthermore, bioinformatics data, showing key citrate-binding motifs

148 and the implications that this may have for bioinformatics database design.

149 It also includes links for each entry to bioinformatics databases.

150 Bioinformatics drug repurposing analyses with the gene e

151 rom the recent advances in biotechnology and bioinformatics, emerging ideas centered on the axon-Schw

152 We created the Bioinformatics ExperT SYstem (BETSY) that includes a kno

153 The result is that bioinformatic expertise and contributions travel easily

154 Bioinformatic expertise and labour is epistemically cent

155 challenges in Africa, most notably access to bioinformatics expertise and internet stability, must be

156 ational steps require 1-3 d for someone with bioinformatics expertise.

157 Bioinformatics explorations based on thousands of varian

158 g technologies require expertise in advanced bioinformatics for reliable interpretation of data.

159 the underlying mechanisms, we undertook (1) bioinformatic, functional genomic annotation and human o

160 Advances in bioinformatics, genomics, proteomics, and metabolomics h

161 Bioinformatics has multitudinous identities, organisatio

162 ances in applied biomolecular technology and bioinformatics have enabled breakthroughs for other comp

163 High-throughput sequencing (HTS) and bioinformatics have expanded our understanding of herpes

164 deep learning was introduced to the field of bioinformatics in 2012, it has achieved success in a num

165 the benefits of high-resolution statistical bioinformatics in clinical microbiome studies, and sugge

166 In this study, we use a combination of bioinformatics, in vitro kinase assays, and yeast-based

167 ature Committee (HGNC) based at the European Bioinformatics Institute (EMBL-EBI) assigns unique symbo

168 Bioinformatics is a rapidly growing field that has emerg

169 However, the field of RNA structural bioinformatics is still lagging behind; for example, cur

170 Bioinformatic, luciferase reporter assay, and Western bl

171 ch integrates molecular modeling, structural bioinformatics, machine learning, and functional annotat

172 Given the interdisciplinary nature of bioinformatics, many students from diverse fields strugg

173 We developed a new bioinformatics method using the PageRank algorithm to re

174 g and validating the results of standardized bioinformatic methods is of crucial importance in determ

175 However, bioinformatic methods to leverage the information from U

176 g ZIP6 knockout cells, mass spectrometry and bioinformatic methods.

177 ertaken, and variants were investigated with bioinformatics methods.We discovered five novel heart ra

178 asome are available on the web at Co=MorNet: bioinformatics.mit.bme.hu/UKBNetworks.

179 tage of this evolutionary study, we combined bioinformatics, molecular, cellular and microscopic tool

180 Furthermore, using a combination of bioinformatics, mRNA studies and functional in vitro exp

181 Comparative bioinformatics, mutagenesis, and biochemical analyses re

182 hen chemically synthesized to give synthetic-bioinformatic natural products (syn-BNPs).

183 es and organizations such as the Pan African Bioinformatics Network (H3ABioNet) as part of the initia

184 The H3ABioNet pan-African bioinformatics network, which is funded to support the H

185 ided here serves as a reference for informed bioinformatics on the genomes of other Cellvibrio and re

186 lable in the Supplementary data available at Bioinformatics online.

187 Focused bioinformatics pathway analysis demonstrated that IgE ac

188 Functional, bioinformatic, phenotypical, and genetic approaches coll

189 f in-flight sequence data using an automated bioinformatic pipeline and laptop-based genomic assembly

190 encing takes approximately 7 d and the basic bioinformatic pipeline takes 1 d.

191 oncology referral center using a customized bioinformatic pipeline.

192 a high-throughput protocol and an associated bioinformatics pipeline (Pipeline for Untangling Reticul

193 Here, we develop a robust bioinformatics pipeline exploiting Hidden Markov Models

194 The package can be easily included into bioinformatics pipeline or used stand-alone.

195 and robust motif and amino acid bias (MAAB) bioinformatics pipeline to classify HRGPs into 23 descri

196 ffector CRISPR systems are emerging from the bioinformatics pipeline.

197 n, paired-end WGS, and an in-house-developed bioinformatics pipeline.

198 TD patients were identified by our in-house bioinformatics pipeline.

199 While myriad variants on NGS techniques and bioinformatic pipelines are available, our results point

200 rs can be integrated into more comprehensive bioinformatics pipelines and different architectures (lo

201 ights into the adaptive immune response, but bioinformatics pipelines for analysis of these data are

202 ch integrating the results from multiple GBS bioinformatics pipelines may be the optimal strategy to

203 o a system that (ii) applies a common set of bioinformatics pipelines to submitted data; (iii) reanal

204 , such as CDISC standards on the open source bioinformatics platform Bioconductor, to ensure that Imm

205 related phenotypes in model organisms, and a bioinformatics platform for therapeutic target identific

206 This bioinformatics platform is an initial attempt at Empower

207 more, we provide UbiBrowser as an integrated bioinformatics platform to predict and present the prote

208 mentation of the NG-CHM system in the Galaxy bioinformatics platform.

209 To confirm bioinformatic predictions, 384 primer sets were designed

210 Bioinformatics predicts that MOSP consists of N- and C-t

211 ific Data Analysis Resources (SDARs) such as bioinformatics programs, web servers and databases are i

212 Based on bioinformatic properties and phylogenetic relationships,

213 The Research Collaboratory for Structural Bioinformatics Protein Data Bank, the US data center for

214 d by 15 laboratories and analyzed using nine bioinformatics protocols.

215 Using a combination of bioinformatics, reporter assay, and chromatin immunoprec

216 that hosts numerous tools and databases for bioinformatics research and allows training to take plac

217 ready for analysis, thus enabling innovative bioinformatics research in immunology.

218 effective analysis and modeling pipeline for bioinformatics research.

219 have developed a user-friendly, open-access bioinformatic resource, The Cancer Proteome Atlas, which

220 Integration Center (PATRIC) is the bacterial Bioinformatics Resource Center.

221 The vast, uncoordinated proliferation of bioinformatics resources (databases, software tools, tra

222 l intervention that leveraged their clinical bioinformatics resources to prevent C. difficile testing

223 nts, interpreted by using our structural and bioinformatic results, provide insight into the catalyti

224 reproduce and go beyond previously published bioinformatics results.

225 Bioinformatics reveals an unappreciated relationship bet

226 The structure guided a bioinformatic screen to identify potential sites in othe

227 Bioinformatic screens reveal that these gram-negative ba

228 A bioinformatics search identified BCL6, a gene downstream

229 Targeted bioinformatic searches for the BBI inhibitory loop disco

230 Ferla et al. elegantly combined initial bioinformatics searches for enzyme candidates with sound

231 We recently performed a bioinformatic secretome analysis in bone marrow cells fr

232 ecent shift of computational biologists from bioinformatics service providers to leaders of cutting-e

233 lar laboratories regardless of the available bioinformatic skills.

234 gh-throughput sequencing data requires basic bioinformatics skills and uses publicly available bioinf

235 Bioinformatics skills have become essential for many res

236 iants difficult for researchers with limited bioinformatics skills.

237 Based on these results, we encourage bioinformatics software developers to use an ordering ba

238 s a knowledge base where the capabilities of bioinformatics software is explicitly and formally encod

239 s allows labs of all sizes to easily install bioinformatics software, maintain multiple versions of t

240 formatics skills and uses publicly available bioinformatics software.

241 form independent executable environments for bioinformatics software.

242 Our study provides a robust bioinformatics solution to understand ASE using RNA sequ

243 We used bioinformatics/statistical analyses to confirm associati

244 ndoles were designed and synthesized using a bioinformatics strategy as cyclin-dependent kinases CDK2

245 Genetic, phylogenetic, bioinformatics, structural, and biochemical analyses rev

246 Bioinformatics studies have revealed that G-rich sequenc

247 Bioinformatics studies suggested that intracellular traf

248 From 619 differentially expressed mRNAs, bioinformatics suggested that cAMP-mediated signalling,

249 including high performance computing (HPC), bioinformatics support, multistep workflows, updated ana

250 ies of YcaO proteins to conduct an extensive bioinformatic survey to classify known YcaO chemistry.

251 A genomic bioinformatics survey suggested that Glt1 belongs to the

252 ns an "analysis" mode that completes complex bioinformatics tasks such as enhancer discovery and prov

253 Recently, numerous bioinformatic techniques have been proposed for genetic

254 re we combine solid-state NMR and structural bioinformatics to determine the structure of a zinc-boun

255 d a combination of phylogenetic analyses and bioinformatics to investigate the deep evolutionary hist

256 ected to accelerate development of web-based bioinformatics tool for handling all studies which inclu

257 bases are the backbone of a rich, integrated bioinformatics tool suite that includes a graphical inte

258 major challenge is to find the most relevant bioinformatics toolkits that will lead to new knowledge

259 le sequencing, Hi-C sequencing, and improved bioinformatic tools are ushering in an era where complet

260 ng two different strategies based on several bioinformatic tools for linear epitope prediction, a set

261 rating the MTR with the empirically selected bioinformatic tools in a gene-specific approach demonstr

262 normalities predicted by a suite of advanced bioinformatic tools in early developing red drum and als

263 Finding them using existing bioinformatic tools in high throughput data is a challen

264 dies that quantified biodiversity using such bioinformatic tools should be viewed cautiously or re-an

265 However, bioinformatic tools that classify mutations according to

266 information is not well captured by existing bioinformatic tools, but is effective in improving varia

267 tomization and a comprehensive collection of bioinformatics tools and data libraries.

268 Bioinformatics tools classified 11 variants as likely pa

269 esolution, but it is hampered by the lack of bioinformatics tools for automated metabolite identifica

270 Reactome aims to provide bioinformatics tools for visualisation, interpretation a

271 de assortment of integrated and cutting-edge bioinformatics tools in pre-configured workflows.

272 Currently, it includes more than 50 bioinformatics tools that are dedicated to different res

273 The bioinformatics tools that we have developed may also hel

274 The goal of this study is to use bioinformatics tools to explore identification and defin

275 Two bioinformatics tools, IdentiFire (Qiagen) and FireComb (

276 han diseases with a collection of structural bioinformatics tools, including eThread, eFindSite, and

277 activity could not have been predicted using bioinformatics tools.

278 terized the LdCen (-/-) vaccine strain using bioinformatics tools.

279 lassified according to their functions using bioinformatics tools.

280 developed to include a range of fundamental bioinformatics topics at the introductory level.

281 In a technical and bioinformatics tour-de-force, He et al. (2017) provide c

282 increase access to (mostly) African, expert bioinformatics trainers.

283 Africa is not unique in its need for basic bioinformatics training for individuals from a diverse r

284 Integrated bioinformatics using all 82 loci revealed that SLE susce

285 Additionally, bioinformatics was used to identify amino acid mutations

286 n of tissue protein expression profiling and bioinformatics, we discovered that many months after TKA

287 Using RNA SELEX and bioinformatics, we identified multiple regions in the pr

288 However, for domains such as bioinformatics, where the number of features is much lar

289 nality reduction is an important strategy in Bioinformatics, which could help to discover hidden data

290 The organism-specific bioinformatics whole-genome sequencing (WGS) typing pipe

291 verage SSU rRNA gene amplicon sequencing and bioinformatics with RT-qPCR and physicochemical investig

292 The multitude of bioinformatic work also translates into a multitude of c

293 The character of bioinformatic work is such that its cultural, institutio

294 This variety allows bioinformaticians and bioinformatic work to contribute to much (if not most) o

295 al terms, the character, power and future of bioinformatic work.

296 We have developed a bioinformatic workflow to generate a chromatin space tha

297 Here we developed a bioinformatics workflow called MetaboDIA to build custom

298 xisting methods, we developed GB-eaSy, a GBS bioinformatics workflow that incorporates widely used ge

299 The development of bioinformatics workshop content is both time-consuming a

300 A report on the 13th International Bioinformatics Workshop held in Harbin, China, 5-6 Augus