ライフサイエンスコーパス: bioinformatics

1 examined using small molecule discovery and bioinformatics.

2 been long-standing computational problems in bioinformatics.

3 pollutants, epidemiology, public health, and bioinformatics.

4 quence alignment is a fundamental problem in bioinformatics.

5 rom ICIBM 2016 program for publishing in BMC Bioinformatics.

6 implement efficient algorithms in structural bioinformatics.

7 amiliar to researchers without experience in bioinformatics.

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

9 pared to other cell types and analyzed using bioinformatics.

10 portant challenge of statistical learning in bioinformatics.

11 extraction, sample handling environment, and bioinformatics.

12 eachEnG will help promote active learning in bioinformatics.

13 th the availability and accuracy of detailed bioinformatics.

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

15 )-30c, which was supported by the results of bioinformatics analyses and dual-luciferase reporter ass

16 Finally, bioinformatics analyses directed to identify which gene

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

18 Bioinformatics analyses indicate that these DEGs are inv

19 ficantly altered pathways identified through bioinformatics analyses involved mitochondrial function;

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

21 Moreover, bioinformatics analyses of these phosphoproteomes provid

22 Bioinformatics analyses reveal enrichment of proline-con

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

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

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

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

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

28 In addition, bioinformatics analyses, sequential ChIP and coimmunopre

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

30 subcellular localization, gene knockout, and bioinformatics analyses.

31 populations and the application of stringent bioinformatics analyses.

32 Bioinformatics analysis and dual-luciferase reporter ass

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

34 Bioinformatics analysis and mutagenesis strategies were

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

36 Using bioinformatics analysis and verified by biochemical assa

37 Further bioinformatics analysis confirmed that 1649 genetically

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

39 According to bioinformatics analysis employing three commonly used al

40 n-redundant transcripts that were assembled, bioinformatics analysis identified 133 specific of V. v.

41 Bioinformatics analysis identified Tollip, a negative re

42 search groups with a platform to incorporate bioinformatics analysis in their research.

43 Literature search and bioinformatics analysis indicated that the identified 25

44 The bioinformatics analysis indicated that these Khib-modifi

45 Bioinformatics analysis indicated that this procedure wa

46 RNA-sequencing and subsequent bioinformatics analysis led us to hypothesize a potentia

47 A bioinformatics analysis of genome databases suggests tha

48 Importantly, the bioinformatics analysis of microarray gene expression da

49 While bioinformatics analysis of the C. felis transcriptome id

50 Bioinformatics analysis of the primary protein sequences

51 Here, we have performed a bioinformatics analysis of the transcriptome of dorsal a

52 Furthermore, bioinformatics analysis of thousands of cancer genomes r

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

54 Bioinformatics analysis predicted that miR-4443 regulate

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

56 Bioinformatics analysis revealed 674 known miRNAs and 39

57 Bioinformatics analysis revealed a CpG shore of the CNTF

58 Bioinformatics analysis revealed OpaR binding sites in t

59 Bioinformatics analysis revealed the presence of homolog

60 Bioinformatics analysis reveals substantial differences

61 Together with the kinetic data, our bioinformatics analysis reveals that B. phytofirmans PRF

62 Bioinformatics analysis showed that genes regulating res

63 Bioinformatics analysis shows that these sequences are p

64 rom various species, we carried out a BLASTp bioinformatics analysis using the shell matrix proteome

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

66 d truncated Escherichia coli Lon constructs, bioinformatics analysis, and site-directed mutagenesis t

67 Finally, bioinformatics analysis, identifying sequences of homolo

68 Bioinformatics analysis, miRNA binding and functional as

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

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

71 pathophysiology of psychiatric disorders in bioinformatics analysis.

72 sis by combining a phosphokinome screen with bioinformatics analysis.

73 aphic user interface for data management and bioinformatics analysis.

74 extensive missing data and requires complex bioinformatics analysis.

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

76 Using bioinformatics and biochemical approaches we show that i

77 cleavable LHE targets using a combination of bioinformatics and biochemical cleavage assays.

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

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

80 Bioinformatics and computational biology play a critical

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

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

83 Using a combined bioinformatics and experimental approach, we have identi

84 dichroism spectroscopic data and associated bioinformatics and experimental metadata.

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

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

87 The rise of bioinformatics and high-throughput technologies has led

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

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

90 Here, we employed bioinformatics and molecular genetics to identify and ch

91 Bioinformatics and mutagenesis analyses revealed a conse

92 Combining bioinformatics and public domain chromatin information w

93 Integrative bioinformatics and reverse genetic approaches were used

94 Bioinformatics and structural modelling studies indicate

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

96 Bioinformatics and systems biology approaches identified

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

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

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

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

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

102 ning RNA pull-down, quantitative proteomics, bioinformatics, and experimental validation.

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

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

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

106 Using a bioinformatics approach of human skin and vascular tissu

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

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

109 Therefore, a systematic bioinformatics approach to improve the reliability of es

110 Using a bioinformatics approach, the authors identified several

111 successfully identified using the integrated bioinformatics approach.

112 Bioinformatics approaches make possible the large scale

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

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

115 Using unbiased bioinformatics approaches, we demonstrate that our datas

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

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

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

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

120 power distribution and potential futures of bioinformatics are constituted.

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

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

123 software, especially for users with limited bioinformatics background.

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

125 hysical data on NBD2, here we have defined a bioinformatics-based method for manually identifying sta

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

127 re prediction is an important problem in RNA bioinformatics because knowledge of structure is critica

128 Genetic, bioinformatics, biochemical and biophysical data show th

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

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

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

132 er package provides a useful toolbox for the bioinformatics community, with state-of-the-art algorith

133 oinformaticians is an important task for the bioinformatics community.

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

135 innovative, free-of-charge "Introduction to Bioinformatics" course, taking these challenges into acc

136 Bioinformatics data show that RgCBM40 canonical type dom

137 The bioinformatics data substantiated our findings showing t

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

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

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

141 nces in next-generation sequencing (NGS) and bioinformatics, detecting rare mutations in primary tumo

142 Proteomic analysis coupled with a bioinformatics-driven approach revealed that these mice

143 Bioinformatics drug repurposing analyses with the gene e

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

145 High-resolution bioinformatics enabled taxonomic assignment to the speci

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

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

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

149 othesis-driven research; access to dedicated bioinformatics expertise; and oversight by funding agenc

150 Bioinformatics explorations based on thousands of varian

151 Since conventional bioinformatics fail to analyse a population spectrum, we

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

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

154 t of unbiased high-throughput sequencing and bioinformatics has enabled rapid identification and mole

155 Bioinformatics has multitudinous identities, organisatio

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

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

158 Advances in metagenomic sequencing and bioinformatics have vastly expanded our knowledge of mic

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

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

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

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

163 Bioinformatics is a rapidly growing field that has emerg

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

165 cess to these tools, which is fundamental to bioinformatics, is increasingly important as more high-t

166 present Rust-Bio, the first general purpose bioinformatics library for the innovative Rust programmi

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

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

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

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

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

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

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

174 Comparative bioinformatics, mutagenesis, and biochemical analyses re

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

176 ABioNet (www.h3abionet.org), the Pan African Bioinformatics Network for H3Africa, has therefore devel

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

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

179 c expertise further contributes to situating bioinformatics on the periphery of the life sciences.

180 Supplementary data are available at Bioinformatics online.

181 lable in the Supplementary data available at Bioinformatics online.

182 Focused bioinformatics pathway analysis demonstrated that IgE ac

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

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

185 and the Illumina range of instruments, and a bioinformatics pipeline for generating consensus sequenc

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

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

188 ffector CRISPR systems are emerging from the bioinformatics pipeline.

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

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

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

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

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

194 While bioinformatics pipelines that cluster reads into OTUs ha

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

196 The Unix 'make' program is widely used in bioinformatics pipelines, but suffers from problems that

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

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

199 This bioinformatics platform is an initial attempt at Empower

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

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

202 PhosphoPredict significantly extends the bioinformatics portfolio for kinase function analysis an

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

204 practices; practical techniques for solving bioinformatics problems; and approaches that promote ope

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

206 were analyzed for L1 insertions using custom bioinformatics programs.

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

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

209 one of the crucial enabling technologies in bioinformatics, providing resources for improved natural

210 Using bioinformatics, quantitative proteomics, and mutational

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

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

213 databases, more and more research focuses of bioinformatics research have been on computational integ

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

215 effective analysis and modeling pipeline for bioinformatics research.

216 gy and Infectious Diseases (NIAID)-sponsored Bioinformatics Resource Center dedicated to providing bi

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

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

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

220 reproduce and go beyond previously published bioinformatics results.

221 Bioinformatics reveals an unappreciated relationship bet

222 An in silico candidate gene analysis and bioinformatics review led us to identify TGFBR2 as a lik

223 A bioinformatics search identified BCL6, a gene downstream

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

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

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

227 Bioinformatics skills have become essential for many res

228 iants difficult for researchers with limited bioinformatics skills.

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

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

231 One of the main challenges with bioinformatics software is that the size and complexity

232 Bioinformatics software tools capable of performing this

233 It is used in many bioinformatics software tools to bin comparable sequence

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

235 formatics skills and uses publicly available bioinformatics software.

236 form independent executable environments for bioinformatics software.

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

238 We used bioinformatics/statistical analyses to confirm associati

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

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

241 Bioinformatics studies also revealed the existence of ge

242 Bioinformatics studies have revealed that G-rich sequenc

243 Bioinformatics studies suggested that intracellular traf

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

245 atics Resource Center dedicated to providing bioinformatics support for influenza virus research.

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

247 A genomic bioinformatics survey suggested that Glt1 belongs to the

248 Our findings show that an approach combining bioinformatics, synthetic biology, and heterologous gene

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

250 Gene set testing is an important bioinformatics technique that addresses the challenges o

251 Available bioinformatics techniques however, are not adequately su

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

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

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

255 D-MS/MS for peptide sequencing, and MaxQuant bioinformatics tool for identification and quantificatio

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

257 Here, we present a novel bioinformatics tool, PhosphoPredict, that combines prote

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

259 Here we harnessed bioinformatics tools and a novel analytical framework to

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

261 ud using more than 200 preinstalled, curated bioinformatics tools and workflows.

262 Bioinformatics tools classified 11 variants as likely pa

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

264 n MODY genes may overcome the limitations of bioinformatics tools for the purposes of presymptomatic

265 The database provides intuitive bioinformatics tools for the visualization, analysis and

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

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

268 et a high-quality set of genomes for testing bioinformatics tools or improving the analysis.

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

270 The bioinformatics tools that we have developed may also hel

271 atient data and are mined with sophisticated bioinformatics tools to develop models that may potentia

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

273 he scientific public domain was queried with bioinformatics tools to generate an initial list of 1038

274 due to changes in the sequencing protocol or bioinformatics tools used to process the data.

275 ides free and unrestricted access to several bioinformatics tools via the user's browser as well as p

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

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

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

279 lassified according to their functions using bioinformatics tools.

280 activity could not have been predicted using bioinformatics tools.

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

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

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

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

285 There is a clear demand for hands-on bioinformatics training.

286 Integrated bioinformatics using all 82 loci revealed that SLE susce

287 Additionally, bioinformatics was used to identify amino acid mutations

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

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

290 ere using immunopurification, proteomics and bioinformatics, we isolated 2,876 proteins across 41 in

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

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

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

294 d futures of bioinformatic work suggest that bioinformatics will become ever more indispensable witho

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

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

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

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

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

300 Therefore, enabling trainers to develop bioinformatics workshops in a way that facilitates reuse