ライフサイエンスコーパス: genome data

1 5249 controls following imputation with 1000 Genomes data).

2 ing, annotating and comparing metagenome and genome data.

3 -gene (family), and some are based on entire genome data.

4 coalescent-based approach to simulate whole genome data.

5 amically visualize multi-species comparative genome data.

6 ional resources owing to the large volume of genome data.

7 ently to scaffold the low-coverage draft dog genome data.

8 oncerning the ongoing generation of nematode genome data.

9 e markers with patternMarkers requires whole-genome data.

10 eukaryotic genomes and the incomplete human genome data.

11 ction is only just beginning, fuelled by the genome data.

12 ll make a major contribution to interpreting genome data.

13 ainment of data-driven biomarkers from whole-genome data.

14 It is important to protect human genome data.

15 reliably detect contamination in single-cell genome data.

16 ex of cryptic species is not supported by mt genome data.

17 rrent interest and can scale to handle whole-genome data.

18 g better serving the demands of contemporary genome data.

19 user-friendly visualization tool for the 293 genome data.

20 n gleaning medically useful information from genome data.

21 s are collected from the annotated human DNA genome data.

22 file alignments based on available microbial genome data.

23 re it can be combined or compared with other genome data.

24 y or in addition to structural analysis from genome data.

25 el with parameters estimated from Drosophila genome data.

26 logenetic problems based on analyses of real genome data.

27 cted on the basis of statistical analyses of genome data.

28 sociation studies was imputed by use of 1000 Genomes data.

29 et from a mouse QT locus study, and the 1000 Genomes data.

30 The inherent structure of genome data allows for more efficient lossless compressi

31 estral repeats; and three derived from human genome data alone, consisting of (4) SNP density, (5) fr

32 The lycophyte chloroplast genome data also enable a better reconstruction of the b

33 We find that genome data analysis confirms the likelihood of much mor

34 However, moving personal genome data analysis to the cloud can raise serious priv

35 By generating new bat genome data and applying model-based phylogenomic analys

36 Using complete plant genome data and discovery of multiple insect PR5-L seque

37 Using currently available genome data and gene annotation information, we systemat

38 We have tailored graphs for describing genome data and have developed a database management sys

39 a useful tool for the systematic analysis of genome data and is available via a server on the world w

40 n informatics infrastructure which organizes genome data and makes it available worldwide.

41 performed existing algorithms on real cancer genome data and on synthetic tumors in the ICGC-TCGA DRE

42 orphism (SNP) genotyping and then with whole-genome data and show how an understanding of evolution i

43 of enzyme-encoding genes within unannotated genome data and their visualization in the context of th

44 use a simulated data generated from the 1000 genomes data and illustrate that we can easily detect up

45 nomics include discovering novel pathways in genome data, and discovering functional interaction part

46 ate members of the BAS and MEG classes using genome data, and generated an alignment of vertebrate an

47 gn mixtures of assembled draft and completed genome data, and is robust in identifying a rich complem

48 g and annotation do not handle mitochondrial genome data appropriately.

49 individual cell is captured from nature and genome data are produced from the amplified total DNA.

50 ate genomes with a particular focus on human genome data as well as data for key model organisms such

51 ve maximum knowledge from existing microbial genome data as well as from genome sequences to come.

52 The availability of exome and genome data, as well as gene and allele discovery for va

53 This may reflect limited complete genome data available for red algae, currently only the

54 omparison with the human gene from the Human Genome Data Bank revealed no significant homology in the

55 been assigned to the encoded protein in the genome data bank, is a CCBL2 (synonym KAT III).

56 er enzyme, GTK/KAT I, is listed in mammalian genome data banks as CCBL1 (cysteine conjugate beta-lyas

57 The recent appearance in genome data banks of homologs to the N-sulfotransferase

58 (EKI1) was identified from the Saccharomyces Genome Data Base (locus YDR147W) based on its homology t

59 roduct was identified from the Saccharomyces Genome Data Base (locus YJL100W) as a putative member of

60 identified from the Saccharomyces cerevisiae genome data base as homologues of ELO1, a gene involved

61 The Saccharomyces genome data base contains an open reading frame (here de

62 Subsequently, a search of the genome data base demonstrated the existence of at least

63 A search of the Saccharomyces cerevisiae genome data base for cytochrome b5-like sequences identi

64 We queried the Arabidopsis thaliana genome data base in search of genes with similarity to t

65 Version 6.0 of the Human Genome Data Base introduces a number of significant impr

66 Upon searching the nearly completed genome data base of the related parasite Trypanosoma bru

67 ived from partial sequences in the T. brucei genome data base that were identified by homology with k

68 Next, the Arabidopsis genome data base was searched for genes containing AGL15

69 A search of the P. falciparum genome data base yielded an open reading frame similar t

70 ed to as hclA), identified in the Drosophila genome data base, by P-element-mediated germ line rescue

71 predicted 52-kDa protein in the T. denticola genome data base.

72 1) were identified in the Trypanosoma brucei genome data base.

73 peptides to search the published Bacteroides genome data base.

74 sequence analysis and searching of the yeast genome data base.

75 82w (LYS20) and YDL131w in the Saccharomyces genome data base.

76 the genes encoding each subunit in the yeast genome data base.

77 ecalis was identified by searching bacterial genome data bases for proteins containing domains homolo

78 Fifth, analyses of genome data bases indicate that Siglec-11 has no mouse o

79 ) are not readily identified in the complete genome data bases of these species.

80 sequence (PS00571) were identified in plant genome data bases, and a cDNA was isolated by reverse tr

81 sin II family, has recently been revealed in genome data bases.

82 used a novel method to predict peptides from genome data bases.

83 ily exploit the new opportunities that whole-genome data bring.

84 These whole genome data can be accessed through genome pages, search

85 The highly interconnected structure of genome data can be captured in a data representation lan

86 bacterial epidemics and illustrates how full-genome data can be used to precisely illuminate the land

87 Mosquito genome data, combined with modern molecular techniques,

88 Human genome data contain valuable but highly sensitive inform

89 As single-cell genome data continues to grow rapidly, acdc adds to the

90 rate molecular network information and tumor genome data could complement gene-based statistical test

91 ; this variant has not been seen in the 1000 Genomes data, dbSNP, or the Exome Sequencing Project.

92 technologies cannot be applied on the entire genome data due to various technical caveats.

93 e composition or isoelectric point) to whole-genome data (e.g. absolute mRNA expression levels or the

94 We analysed >800 rat hepatic whole genome data for 17 steatotic drugs and identified 157 di

95 lysis of 21 rhodophyte ptDNAs, including new genome data for 5 species, turned up 22 plasmid-derived

96 SGN hosts whole genome data for an increasing number of Solanaceae famil

97 efficient method for scanning unphased whole-genome data for association.

98 TCGA) harbors an increasing amount of cancer genome data for both tumor and normal samples.

99 oroplast DNA-derived sequences among nuclear genome data for C. reinhardtii, which also contrasts wit

100 Mining of genome data for cellulose degradative enzymes followed b

101 resents a collaborative effort to locate all genome data for the apicomplexan parasite Cryptosporidiu

102 Using the genome data from 12 Drosophila species, we identified FB

103 Here, we use complete genome data from 20 poxvirus genomes to build a robust p

104 We apply this strategy to complete genome data from 47 wild and domestic pigs from Asia and

105 galactose utilization (GAL) pathway in whole-genome data from 80 diverse fungi.

106 is of the C2/1112-15 dataset, based on whole-genome data from a sparse time series consisting of 5 ra

107 Here we use transcriptome and genome data from all major lineages (except Monoplacopho

108 how that this method can be used to generate genome data from nonviable archived samples.

109 Genome data from one cell were dominated by sequences fr

110 Genomes Project, and deep coverage complete genome data from our own projects.

111 address this issue by using the first whole genome data from prehistoric Irish individuals.

112 e general outline of the tree using complete genome data from representative prokaryotes and eukaryot

113 Analyses of nuclear genome data from six samples with the highest DNA preser

114 pproach was used, which intersects (1) whole-genome data from structural and sequence pathogenic loss

115 eq; we then integrated these data with whole-genome data from surveillance sequencing, thereby placin

116 Here, using novel genome data from the mesophilic Porphyridium cruentum an

117 Although genome data from unicellular marine eukaryotes is sparse

118 iduals with five types of cancer using whole-genome data generated by The Cancer Genome Atlas Researc

119 First, the near-complete genome data generated with the in-house pipeline were im

120 tical inference based on high coverage whole-genome data (greater than 60x) from contemporary African

121 The rapid accumulation of whole-genome data has renewed interest in the study of using g

122 Genome data, health and trait information, participant s

123 allow them to visualize, analyze, and modify genome data in an interactive and generalized manner.

124 umber of samples, enabling analysis of whole-genome data in large cohorts.

125 ware tools and compared with other RNAseq or genome data including Arabidopsis pollen, Lilium vegetat

126 continuing exponential accumulation of full genome data, including full diploid human genomes, creat

127 eloped new infrastructure for handling whole genome data, including increased methods for quality con

128 vs 3%, odds ratio [OR] = 6.9, P < .001), and genome data indicated matching carriage and infection is

129 The genome data informed the epidemiology, identifying multi

130 Integration of whole-genome data into the current taxonomy system can provide

131 ately lead to privacy concerns as more human genome data is collected.

132 Genome data is commonly treated as chromosome-length seq

133 The inference of demographic history from genome data is hindered by a lack of efficient computati

134 sequence encompassing the majority of public genome data is rapidly retrieved from GenBank or Ensembl

135 With complete genome data, it becomes possible to identify and trace i

136 The complexity of genome data limits the usefulness of traditional databas

137 With the increasing availability of genome data made possible through next-generation sequen

138 yping of CNPs strongly correlates with whole-genome data (median r(2) = 0.91), especially for loci wi

139 lysis applications are provided as exemplary genome data mining tools over these internal databases.

140 Novel questions emerge from the genome data obtained from the functional prediction of t

141 d patterns of introgressed sequence in whole-genome data of 379 Europeans and 286 East Asians.

142 PR5/PR5-L protein sequences were mined from genome data of a member of each of two main angiosperm g

143 Analyses of whole-genome data often reveal that some genes have evolutiona

144 bout one day to assemble 30-fold human whole-genome data on a modern 16-core server with 85 GB RAM at

145 Here, we present the first whole-genome data on the mutational signatures of AFB1 exposur

146 onstruct de novo linkage maps on 7-12x whole-genome data on the Red postman butterfly (Heliconius era

147 olute size of the coding region of the human genome, data on codon usage and pseudogene-derived mutat

148 election and testing, we show that for human genome data, one-piece PC (PC1) is often in a statistica

149 The extensive full-genome data permitted us to identify genes with signific

150 The extensive genome data permitted us to identify patterns of geograp

151 de seven new genome assemblies, a Neandertal genome data portal, phenotype and disease association da

152 lysis of the EST data compared with the Fugu genome data predicts that approximately 10,116 gene tags

153 es manage the results of different microbial genome data processing and interpretation stages, and re

154 atures have been added to RefSeq prokaryotic genomes data processing pipeline including the calculati

155 Whole-genome data provide strong support for recent hybrid ori

156 lows integration of different types of yeast genome data provided by different resources in different

157 n the consensus sequence and publicly funded genome data provided locations of 2.1 million single-nuc

158 formation with the corresponding protein and genome data provides a suitable framework for studying t

159 followed from new genomic technologies, new genome data resources, and global collaborations that co

160 are eventually included into various public genome data resources.

161 s with additional markers imputed using 1000 Genomes data; results were summarized using fixed-effect

162 Analysis of recent genome data revealed the presence of bacteria-like cysM

163 vate to Africa, Asia, and Europe in the 1000 Genomes data reveals that private European variation is

164 omise of sequencing is often just that, with genome data routinely failing to reveal useful insights

165 Validation of one genome data set demonstrates a sequence accuracy of abou

166 The PCAP program was tested on a mouse whole-genome data set of 30 million reads and a human Chromoso

167 haic hominins to humans and emerging ancient genome data sets for domesticated animals and plants, th

168 Here we exploit representative whole-genome data sets from six diverse bacterial species: Sta

169 The recent availability of whole-genome data sets of RNA and protein expression provides

170 pes is significantly underestimated in whole genome data sets, while the predicted haplotypes over th

171 analyze the recently released ExAC and 1000 Genomes data sets to determine how human genetic variati

172 lung and colon cancer, ImmPort and the 1000 genomes data sets.

173 s community together with the emergent human genome data should allow for the rapid identification of

174 A sequencing costs dropping <$1000 for human genomes, data storage, retrieval and analysis are the ma

175 As an example of how genome data, structural biology, and biochemistry integr

176 pite the enormous proliferation of bacterial genome data, surprisingly persistent collections of bact

177 We present complete mitochondrial genome data that provide strong evidence that one clade

178 also supports some novel approaches to whole-genome data that take advantage of whole-genome coverage

179 We show in HapMap and 1000 Genomes data that our method can recover first- and seco

180 From the genome data, the rare nonsense mutations may not contrib

181 Taken together with somatic breast cancer genome data, these results point to a breakdown in a BRC

182 ing to develop new technologies that exploit genome data to ask entirely new kinds of questions about

183 uses this system in combination with cancer genome data to define new genes and pathways involved in

184 says with computational analyses of emerging genome data to define site- and species-specific polyade

185 ibe current knowledge of the pathway and use genome data to discuss what elements are present in Dros

186 o investigate recent studies utilizing whole-genome data to identify clines in D. melanogaster and se

187 e of genetic gain in breeding by using whole-genome data to predict the breeding value of offspring.

188 ient manipulation and integration with other genome data types.

189 omparisons with the Methanococcus jannaschii genome data underline the extensive divergence that has

190 We developed genome data visualization toolkit (GDVTK) as an applicat

191 nstructing metabolic networks from annotated genome data, visualizing experimental data in the contex

192 For experimental validation of these genome data, we apply an integrative strategy to charact

193 These genome data were not of high quality, and a redeterminat

194 functional genomics is currently limited by genome data, which are available for only a few model or

195 Analysis of the genome data will enhance our understanding of lignocellu

196 emented, and accurate approach to cope whole genome data with complex structures.

197 Mine data warehousing system, integrates the genome data with data from external sources and facilita

198 e easily adapted for displaying all types of genome data with known genomic coordinates.

199 We also show in the 1000 genomes data with cryptic relationships that our method

200 urrounding rs9679290 using HapMap 3 and 1000 Genomes data yielded two additional signals, rs4953346 (