ライフサイエンスコーパス: bioinformatic

1 ne expression data) are ubiquitous in modern bioinformatics.

2 that can be answered when utilizing NGS and bioinformatics.

3 ds and identified KIR genotypes using custom bioinformatics.

4 cations of supervised learning approaches in bioinformatics.

5 ilarity is a central challenge in structural bioinformatics.

6 ild-type and E571K CRM1 with structure-based bioinformatics.

7 e current sequence and structural methods in bioinformatics.

8 to be published in this special issue of BMC Bioinformatics.

9 en BCREval and Bismark (Krueger and Andrews, Bioinformatics 27:1571-1572, 2011), a widely used BCR ev

10 product (syn-BNP) approach, which relies on bioinformatic algorithms followed by chemical synthesis

11 Lite backend and its input is generated from bioinformatic algorithms reliably described in the liter

12 types, brain tissue regions and advances in bioinformatics algorithms, have presented an opportunity

13 becomes difficult or impossible to reproduce bioinformatic analyses from raw data.

14 oimmunoprecipitation, mass spectrometry, and bioinformatic analyses indicate 14-3-3 is associated wit

15 Bioinformatic analyses indicated that PD-1H has a very l

16 Bioinformatic analyses of 'Emerald' transcriptomes using

17 Bioinformatic analyses of genes with differential expres

18 of horizontal gene transfer (HGT) relying on bioinformatic analyses of genetic elements maintained on

19 Bioinformatic analyses of transcription factor and immun

20 Bioinformatic analyses suggest that S70pBcl2 is associat

21 Additionally, bioinformatic analyses suggest that the unique ligand en

22 nrolled in the NIH Lung HIV studies and used bioinformatic analyses to investigate whether signature

23 Bioinformatic analyses were performed using Ingenuity Pa

24 chronically fed EtOH, and ileum RNA-seq and bioinformatic analyses were performed.

25 kflows, by helping to reduce overhead during bioinformatic analyses, preventing costly bioinformatic

26 cal insights through comparative genomic and bioinformatic analyses.

27 Illumina HiSeq 2000 system and subjected to bioinformatic analyses.

28 Using extensive computational sequence and bioinformatics analyses and cellular localization studie

29 Bioinformatics analyses and functional validation define

30 Various studies together with bioinformatics analyses have shown that many genes contr

31 We combined this information with bioinformatics analyses of natural variants and with exi

32 We performed bioinformatics analyses of SFRP1 expression in human can

33 Bioinformatics analyses prioritize candidate causal gene

34 Bioinformatics analyses revealed clear delineations betw

35 Bioinformatics analyses revealed the bull was a compound

36 Bioinformatics analyses revealed the presence of RgNanOx

37 e conducted to identify genetic variants and bioinformatics analyses were performed to prioritize can

38 ries on murine ovaries, coupled with several bioinformatics analyses, the complete dynamic genetic pr

39 genetic, population genetics, and structural bioinformatics analyses.

40 rometry, with the support of statistical and bioinformatics analyses.

41 or protein functions, as demonstrated by our bioinformatics analyses.

42 es is considered nowadays a core part of the bioinformatics analyses.

43 Using bioinformatic analysis and co-transfection studies we fu

44 Bioinformatic analysis and functional genomics experimen

45 f genome-wide experiments coupled to a novel bioinformatic analysis approach.

46 Bioinformatic analysis combined with gene expression qua

47 Transcriptomic and bioinformatic analysis combined with pharmacological and

48 sing availability of cyanobacterial genomes, bioinformatic analysis has revealed the existence of a n

49 Bioinformatic analysis highlighted that dysregulated miR

50 Structure-based bioinformatic analysis identified 10 subfamilies of HeRs

51 Bioinformatic analysis identified transcripts for active

52 Integrated bioinformatic analysis identifies Discodin Domain Recept

53 Bioinformatic analysis linked ER-E3s and their interacto

54 Genome-wide bioinformatic analysis of promoters from R. sphaeroides

55 design principle to guide bioengineering and bioinformatic analysis of SD, and illuminates the fundam

56 Using bioinformatic analysis of the genomic DUX4 locus, we hav

57 Bioinformatic analysis of the OPRM1 upstream region reve

58 We also report on a phylogenetic and bioinformatic analysis of the plant two-pore channel fam

59 Bioinformatic analysis revealed five clusters of IAC bai

60 Bioinformatic analysis revealed that KO and KDO adopt a

61 Our bioinformatic analysis showed that a group of only six c

62 We then performed in-depth bioinformatic analysis to determine differentially expre

63 Bioinformatic analysis uncovered evolutionary relationsh

64 A recent bioinformatic analysis used evolutionary conservation si

65 From this multi-omic and bioinformatic analysis, a molecular map of exercise will

66 Based on the bioinformatic analysis, CD151 on EMPs was predicted to a

67 ngs as it requires expensive instruments and bioinformatic analysis.

68 Bioinformatics analysis and luciferase reporter assay co

69 Preliminary functional studies, including bioinformatics analysis and TOP-/FOP-flash reporter assa

70 Finally, our bioinformatics analysis demonstrates that Apd6 and their

71 Bioinformatics analysis found that this SNP and its adja

72 RNA-Sequencing and bioinformatics analysis further identified a PDE10A-regu

73 Unbiased bioinformatics analysis identified that inducible costim

74 Next-generation sequencing and bioinformatics analysis in the present study demonstrate

75 We conducted a bioinformatics analysis of COVID-19 comorbidity-associat

76 Interestingly, bioinformatics analysis of PMEL17 homologs from other ma

77 Bioinformatics analysis of RNA sequencing data identifie

78 Remarkably, a bioinformatics analysis of the amino acidic sequence of

79 Bioinformatics analysis of The Cancer Genome Atlas datas

80 Next, we performed a comprehensive bioinformatics analysis of the Capsicum ANK gene family

81 In addition, through bioinformatics analysis of the genes mapped to the 22q11

82 To prove it, we first performed a bioinformatics analysis of the Protein Data Bank protein

83 This notion was further supported by bioinformatics analysis of transcriptome profiles in LIN

84 In bioinformatics analysis of upstream regulator networks,

85 In the present study, we develop a bioinformatics analysis pipeline to build a predictive g

86 Bioinformatics analysis predicts that miR-379 targets EI

87 Bioinformatics analysis revealed miR-34a could target 30

88 Interestingly, bioinformatics analysis revealed the presence of transcr

89 Bioinformatics analysis suggests that MHETase evolved fr

90 Bioinformatics analysis suggests that the putative C. tr

91 c phage were analyzed by deep sequencing and bioinformatics analysis to identify a total of 78 300 +/

92 Here, results of a bioinformatics analysis using a sequence similarity netw

93 Bioinformatics analysis was used to refine this list and

94 With the aid of bioinformatics analysis, from a window frame of ~2 Mb co

95 ally expressed genes and pathways in ESCC by bioinformatics analysis, potentially providing valuable

96 tation is an important step for all in-depth bioinformatics analysis.

97 We apply three approaches-bioinformatics, analytical modelling and computational s

98 Here, we use bioinformatic and biochemical analyses to explore this l

99 We demonstrated through bioinformatic and cellular studies that HPDL has a mitoc

100 Utilizing bioinformatic and functional analyses, we identified ove

101 Here, we performed bioinformatic and functional characterization analysis o

102 Furthermore, using bioinformatic and gene expression analyses, we find that

103 Here we present an integrative bioinformatic and high throughput drug screening study t

104 The bioinformatic and laboratory methods outlined here provi

105 tion, these protocols are not in wide use in bioinformatics and are difficult to use for even technol

106 era, one of the most challenging problems in bioinformatics and computational biology is to computati

107 Despite these sobering statistics, most bioinformatics and computational biology research and fu

108 COMP'19-The 2019 International Conference on Bioinformatics and Computational Biology.

109 ated by metabolomics-fluxomics combined with bioinformatics and computational modelling.

110 Pedigree files are ubiquitously used within bioinformatics and genetics studies to convey critical i

111 ble for their biosynthesis was identified by bioinformatics and insertional mutagenesis.

112 is particularly crucial for applications to bioinformatics and medical informatics, namely covariate

113 Utilizing bioinformatics and patient samples, we provide evidence

114 proaches have attracted a lot of interest in bioinformatics and related fields.

115 geting users with intermediate experience in bioinformatics and statistics and using R with Bioconduc

116 SHH-MB might be identified from large-scale bioinformatics and systems biology analyses.

117 In parallel, bioinformatics and systems biology approaches including

118 Taken together, these genetic, bioinformatic, and functional studies demonstrate HPDL i

119 dem affinity purification-mass spectrometry, bioinformatics, and biochemical approaches, we found tha

120 ence comparisons have become popular in many bioinformatics applications, specifically in the estimat

121 In this study, we combined a bioinformatics approach exploring both Molecular Taxonom

122 A specific bioinformatics approach identified 10 of these miRNAs to

123 cells by CyTOF, and use a 'nearest neighbor' bioinformatics approach to trace cells to their original

124 discuss methods that could be implemented in bioinformatic approaches for curation to ensure that met

125 Parallel bioinformatic approaches identified Lactobacillus reuter

126 By applying proteomic and bioinformatic approaches in mouse models of protease-ind

127 se of a combination of viral metagenomic and bioinformatic approaches.

128 egories requires appropriately sophisticated bioinformatics approaches and thorough validation in div

129 ering procedure in CNV studies with suitable bioinformatics approaches can identify ADHD candidate ge

130 Bioinformatics approaches confirmed that Env7 Ser-331 is

131 For instance, NGS and bioinformatics approaches have been used to identify out

132 n language, or amino acids or nucleotides in bioinformatics, are generally represented as a continuou

133 ich has spurred a rapid growth in the use of bioinformatics as a means of interrogating antibody vari

134 While the bioinformatic aspects of peak detection and integration,

135 d flow cytometry analysis was validated with bioinformatics-based analysis and machine learning algor

136 ide-copper complexes, while a combination of bioinformatics-based structure modelling, Cu(2+) ion doc

137 ad data for control DNA samples to allow for bioinformatic benchmarking by users developing pipelines

138 By single-cell transcriptomics and bioinformatics, both signaling and canonical translation

139 equencing (scRNA-seq) data are ubiquitous in bioinformatics, but using single clustering or classific

140 r-prone Nanopore sequencing is a substantial bioinformatics challenge.

141 ortunities provided by genome sequencing and bioinformatics, challenges associated with translating g

142 Here we report an in depth bioinformatic characterization of 34 primary TE mRNA-seq

143 Based on bioinformatic clustering and sequence alignments, we sel

144 methods from the DMI DREAM Challenge for the bioinformatics community.

145 Bioinformatic comparisons of the observed APOBEC3A mutat

146 e, which serves as a blueprint to reduce the bioinformatic complexity associated with repetitive TEs

147 ropose a model that bridges experimental and bioinformatics concepts using the Oxford Nanopore Techno

148 Rules to follow when writing an algorithmic bioinformatics conference paper to avoid having it rejec

149 An important problem in bioinformatics consists of identifying the most importan

150 A typical task in bioinformatics consists of identifying which features ar

151 (qPCR), next-generation sequencing (NGS) and bioinformatic data analysis.

152 wth is abolished at ambient CO(2) We present bioinformatic data suggesting that the malate cycle may

153 Finally, we validated the proteomic and bioinformatics data by analysing glutathione metabolism

154 lections, but also to ensure linkage between bioinformatic databases and the wider research community

155 Screening was done with bioinformatics databases for unpublished/unexplored micr

156 ored the biology of co-expressed genes using bioinformatics databases, and identified known drug-gene

157 of top-ranked predictors in high-dimensional bioinformatics datasets, in order to avoid the potential

158 also highlight the present inadequacy of the bioinformatic definition of lncRNA, which excludes those

159 We use a bioinformatic description of amino acid dynamic properti

160 This protocol reports both experimental and bioinformatic details to perform AQuA-HiChIP, going from

161 nutraceutical leads were identified through bioinformatic drug repurposing analyses (such as pioglit

162 w drug candidates and natural compounds upon bioinformatics drug repurposing analyses, such as calciu

163 easy to manipulate for users with or without bioinformatic expertise.

164 and considerations for setting up an NGS and bioinformatics-focused infectious disease research publi

165 In bioinformatics, genome-wide experiments look for importa

166 xt generation sequencing (NGS) combined with bioinformatics has successfully been used in a vast arra

167 in molecular biology, optics, genetics, and bioinformatics have opened the door to mapping, in molec

168 reveal a shared set of properties for facile bioinformatic identification of new anti-CRISPR families

169 Comparative bioinformatics identified classical PC gene signatures a

170 ever, implementation of high-quality NGS and bioinformatics in research and public health laboratorie

171 r Biotechnology Information (NCBI), European Bioinformatics Institute (EBI) and the DNA Data Bank of

172 applications of deep learning algorithms in bioinformatics is increasing as they usually achieve sup

173 Data handling in clinical bioinformatics is often inadequate.

174 In contrast, several bioinformatic issues remain to be addressed in processin

175 usage of embeddings is well described in the bioinformatics literature, the potential of end-to-end l

176 In this era of data science-driven bioinformatics, machine learning research has focused on

177 ion from microscopy, structural biology, and bioinformatics may be integrated to build structural mod

178 ed) were critical in determining the optimal bioinformatic method.

179 m and the sequencing approach, the choice of bioinformatics methodologies, access to the appropriate

180 None of these results are accessible to bioinformatic methods hitherto available.

181 ters and platforms was high when appropriate bioinformatic methods were applied.

182 ng bioinformatic analyses, preventing costly bioinformatic mistakes, and promoting computational repr

183 RNA discovery using profiling techniques and bioinformatic modeling of the network effect of multiple

184 Through a combination of bioinformatic, mutagenesis and kinetic approaches we dem

185 Using bioinformatics, mutation and NMR, we identify a 7-residu

186 charomyces cerevisiae using a combination of bioinformatics, mutational experiments, and evolutionary

187 is underexploited resource using a synthetic-bioinformatic natural product (syn-BNP) approach, which

188 Bioinformatic network and pathway analyses of identified

189 Finally, we summarize the bioinformatics of advanced viral, bacterial, and parasit

190 ) containing qcSSMDhomo is also available at Bioinformatics online.

192 Here, we present a bioinformatics package, named APAlyzer, for examining 3'

193 We integrated bioinformatics pathogenicity triage, mean serum Ca conce

194 By using bioinformatic pathway analysis and signaling assays, her

195 >=9 kb were sequenced and analyzed through a bioinformatic pipeline to detect indels, frameshifts, or

196 olyreactive antibody sequences, we created a bioinformatic pipeline to isolate key determinants of po

197 ng more than 20 billion reads) and a uniform bioinformatic pipeline to produce comprehensive sRNA loc

198 ata using a newly developed field-deployable bioinformatic pipeline.

199 genetic variants (SparkINFERNO), a scalable bioinformatics pipeline characterizing non-coding genome

200 raction-based microbiome discovery (CSMD), a bioinformatics pipeline specifically developed to genera

201 We integrated an optimized bioinformatics pipeline with high-resolution mycobiota s

202 A customized open-source bioinformatics pipeline, BLENDER (blunt end finder), the

203 A bioinformatics pipeline, Cenote-Taker, was developed to

204 Coupled with an easy-to-use bioinformatics pipeline, this method is particularly use

205 is to manually perform many steps in a long bioinformatics pipeline.

206 nge PCR and nanopore sequencing with a novel bioinformatics pipeline.

207 Recent advances in sequencing technology and bioinformatic pipelines have allowed unprecedented acces

208 mics and analyzed with specifically designed bioinformatic pipelines.

209 s the potential to improve the robustness of bioinformatics pipelines for surveillance and could be a

210 Standard bioinformatics pipelines for the analysis of bacterial t

211 addition, we discuss the range of potential bioinformatics pipelines, including structural and funct

212 mmand-line interface readily integrates into bioinformatics pipelines, the intuitive web front-end wi

213 ), annotations can be easily integrated into bioinformatics pipelines.

214 eers processed with identical sequencing and bioinformatics pipelines.

215 leveraged IDSeq, a new open-access microbial bioinformatics portal.

216 d highly variable proteins which makes their bioinformatic prediction a formidable task.

217 med linkage disequilibrium (LD) analysis and bioinformatic prediction to screen functional SNPs linke

218 we also performed functional annotations by bioinformatics prediction and expression quantitative tr

219 time-lapse microscopy, genetic perturbation, bioinformatic predictions, and mathematical modeling.

220 on that also will support the improvement of bioinformatics predictors, which critically relies on th

221 Next-generation sequencing (NGS) and bioinformatics processing were used for the identificati

222 The data generated by the bioinformatics programs confirm the tendency of these pr

223 The US Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) serves many

224 y RNA sequencing (RNA-Seq), with appropriate bioinformatics, provides a robust tool to identify addit

225 Bioinformatic removal of globin gene counts in non-hgbRN

226 method for library preparation coupled with bioinformatic removal of globin gene counts is sufficien

227 ue to be rapidly generated, a major focus of bioinformatics research has been aimed toward integratin

228 les reflect current trend and development in bioinformatics research.

229 arch infrastructures, can describe their own bioinformatics resources and share these via bio.tools.

230 ion for life science that aims to coordinate bioinformatics resources in a single infrastructure acro

231 pathway analysis were performed using DAVID Bioinformatics Resources v6.7.

232 e great venues for disseminating algorithmic bioinformatics results, but they unfortunately do not of

233 equences of nonsynonymous mutations by using bioinformatic scores.

234 We have previously used a bioinformatic screen to identify two interferon-stimulat

235 nd IFI44L as possible genes of interest in a bioinformatic screen, we dissected the function of these

236 Here, using a bioinformatics screen, we searched for putative protein

237 Here, using a comprehensive bioinformatics screening, we identified a putative EF-ha

238 Such bioinformatics scripts necessarily include similar basic

239 False positives in bioinformatic searches of the genome are potentially rat

240 lly for researchers who do not specialize in bioinformatics skills or do not have access to expensive

241 ta in any genomic region without need of any bioinformatics skills or special computing resources.

242 d among researchers in molecular ecology for bioinformatic software that will not only condense outpu

243 f unambiguous sulfopeptide identification by bioinformatics software.

244 is methods and support the data by employing bioinformatics statistical tools.

245 CUBN variants were analyzed using bioinformatics, structural modeling, and epidemiological

246 nificantly improve performance in downstream bioinformatics studies and biomedical text-mining applic

247 Bioinformatics studies to match side-chain orientations

248 dontitis previously investigated by GWAS and bioinformatics studies.

249 Here we report a functional, structural, and bioinformatics study of Mtb enzymes initiating cholester

250 , the number of core facilities that provide bioinformatics support are also increasing.

251 ed in core support facilities when providing bioinformatics support, drawing on our own experiences w

252 rd operating procedures to provide effective bioinformatics support.

253 ncluding single-cell mRNA-sequence analysis, bioinformatics, synthetic biology and high-throughput fu

254 It includes tools for popular bioinformatics tasks such as gene prioritization, sample

255 NASQAR is a collaboration between the core bioinformatics teams of the NYU Abu Dhabi and NYU New Yo

256 n editorial report of the supplements to BMC Bioinformatics that includes 6 papers selected from the

257 d how this information can be used alongside bioinformatics to understand mechanisms of binding and i

258 we present MI-MAAP, an easy-to-use web-based bioinformatics tool designed to prioritize informative m

259 We developed an innovative bioinformatics tool for visualizing functional annotatio

260 We describe MGEfinder, a bioinformatic toolbox that identifies integrative MGEs a

261 development of the experimental methods and bioinformatics toolkits that have provided a fuller unde

262 tely analyzed due to a lack of sophisticated bioinformatic tools and field-specific biological expert

263 Bioinformatic tools and genome-wide association studies

264 omedical researchers and integrated in other bioinformatic tools and resources.

265 d demand for easy-to-use, publicly available bioinformatic tools and services.

266 any symbiotic system, but there are very few bioinformatic tools available to interpret the results.

267 The equations are useful in bioinformatic tools for analyzing mass spectral data fro

268 ne marrow transplant recipients, and we used bioinformatic tools to evaluate protein abundance and fu

269 t also new links of the plasmids to advanced bioinformatic tools.

270 ietary database ARESdb with state-of-the-art bioinformatics tools and curated public data.

271 uencing technologies, and highlight relevant bioinformatics tools and pipelines to predict the presen

272 addition, we provide a review of some common bioinformatics tools and procedures used for pathogen di

273 Long-read sequencing coupled with bioinformatics tools enables the estimation of repeat co

274 lse-positive discovery rate of commonly used bioinformatics tools for detecting driver genes.

275 We determined that available bioinformatics tools may be ill-suited for verification

276 This study utilizes published bioinformatics tools to quantify the frequency of aberra

277 We used a number of bioinformatics tools to uncover markers and sources of E

278 Compared to existing bioinformatics tools, AcrFinder has the following unique

279 ships and disease associations using various bioinformatics tools.

280 rn genomic era, scientists without extensive bioinformatic training need to apply high-power computat

281 es in a single infrastructure across Europe; bioinformatics training is central to its strategy, whic

282 an evidence-based approach for strengthening bioinformatics training programmes across Europe, the EL

283 on dataset size, and assumes no specialized bioinformatics training.

284 Improvements in sequencing and bioinformatics turned the complex and cumbersome library

285 Structural bioinformatics was used to facilitate the identification

286 ing isotope labelling, mass spectrometry and bioinformatics, we calculate turnover rates of individua

287 Using bioinformatics, we identified Glt(Ph) gain-of-function m

288 Using bioinformatics, we linked 6 h genes previously unknown t

289 Using structural bioinformatics, we show that a universal mutational prop

290 Using bioinformatics, we show that this imperfect targeting is

291 This paper presents GSP4PDB, a bioinformatics web tool that enables the user to visuali

292 stgraduate certificate (PG Cert) in Clinical Bioinformatics with a more technical audience.

293 In the bioinformatics work, we examine the distributions of ove

294 This paper presents a bioinformatics workflow for using RNA-seq data to discov

295 We developed a bioinformatics workflow to discover alternative splicing

296 ollections, services that streamline complex bioinformatic workflows and command-line tools for bulk

297 Bioinformatic workflows frequently make use of automated

298 review, we summarize the most common NGS and bioinformatics workflows in the context of infectious di

299 allows for IgBLAST to be used in customized bioinformatics workflows.

300 s and publishes analyses using Galaxy, leads bioinformatics workshops that introduce and use Galaxy,