ライフサイエンスコーパス: data visualization

1 sitional information into their analysis and data visualization.

2 ong with time-gated filtering and innovative data visualization.

3 ace to improve usability, responsiveness and data visualization.

4 ts, requiring development of novel tools for data visualization.

5 and provides integrated tools for expressive data visualization.

6 us statistical analysis and state of the art data visualization.

7 nalysis with the browse-based technology for data visualization.

8 nment, annotation, statistical analysis, and data visualization.

9 rences inaugurated a symposium on Biological Data Visualization.

10 ice and suggesting new strategies for robust data visualization.

11 esigned for ultra high-throughput sequencing data visualization.

12 , statistical modeling, machine learning and data visualization.

13 to serve as a flexible component for genomic data visualization.

14 assembly, polymorphism detection, as well as data visualization.

15 n used in functional inference as well as in data visualization.

16 ssary for further statistical processing and data visualization.

17 anizing map-based (SOM) cluster analysis and data visualization.

18 he analytical calculations and provides easy data visualization.

19 t inferences and generating information-rich data visualizations.

20 The Omics Viewer, a user data visualization and analysis tool, allows a list of g

21 New data visualization and analysis tools include SeqViewer,

22 The combination of multiresolution data visualization and analysis, combined with the phylo

23 seminating models of biological pathways for data visualization and analysis.

24 ed pathogenicity, with the Ensembl tools for data visualization and analysis.

25 QPACA supports data visualization and both fine- and coarse-grained spe

26 publicly accessible website that integrates data visualization and curation of current gene annotati

27 lymorphism prediction, PCR primer selection, data visualization and data download in a variety of for

28 ed to include advanced statistical analysis, data visualization and data integration.

29 We examine current practices in data visualization and discuss improvements, advocating

30 hembench provides a broad range of tools for data visualization and embeds a rigorous workflow for cr

31 and is optimized to provide high-performance data visualization and exploration on standard desktop s

32 In this article, we present LocusExplorer, a data visualization and exploration tool for genetic asso

33 ved tables that enable efficient access from data visualization and exploration tools.

34 browsing tool was successfully developed for data visualization and filtering data by several linked

35 al vignette describing common tasks, such as data visualization and gene set enrichment analysis.

36 nhancements and new tools to further improve data visualization and interpretation.

37 gnment tools, such as GMAP, with easy-to-use data visualization and mining tools.

38 package, with a user-friendly interface for data visualization and pathway exploration.

39 s of PathVisio are pathway drawing, advanced data visualization and pathway statistics.

40 sor data onto the Google Glass for on-demand data visualization and real-time analysis.

41 informatics tasks, including classification, data visualization and removal of biases, such as batch

42 plant microarrays with integrated tools for data visualization and statistical analysis.

43 a website which supports browsing, querying, data visualization and the ability to download raw and c

44 a graphical user interface (GUI) to support data visualization and user interaction.

45 In it, scientists use interactive data visualizations and read deeply in the research lite

46 V) was one of the first tools to provide NGS data visualization, and it currently provides a rich set

47 tive gene selection, supervised/unsupervised data visualization, and user/prior knowledge guidance, t

48 ty modulation of such materials, display and data visualization applications that go beyond data stor

49 This i3 is a data visualization based on the Cell Stem Cell tenth ann

50 logy recently acknowledged the importance of data visualization by inaugurating an award for the "Fig

51 Data visualization can play a key role in comparative ge

52 rom a reusable toolkit of user interface and data visualization components.

53 articipating PX resources, now with enhanced data visualization components.We describe the updated su

54 ots from chaotic systems theory as a dynamic data visualization device and show how these plots captu

55 analyses and (iii) introducing a new set of data visualizations for expressed region analysis.

56 Reactome pathways using PathVisio's advanced data visualization functionalities.

57 Data visualization has developed in several directions:

58 y easy-to-use interfaces nor well suited for data visualization in general data formats.

59 Data visualization in reduced-parameter frameworks (e.g.

60 reasing need for rich and dynamic biological data visualizations in bioinformatic web applications.

61 chromatin interaction maps enables effective data visualization, integration, and mining.

62 Data visualization is an essential component of genomic

63 Data visualization is an important tool that epidemiolog

64 Data visualization is critical for interpreting biologic

65 Data were geocoded and analyzed in a data visualization platform from March 1 to December 1,

66 Data visualization plays a critical role in interpreting

67 isual Omics Explorer (VOE), a cross-platform data visualization portal that is implemented using only

68 ecause of the multidimensional nature of the data, visualization requires interactive multidimensiona

69 Typical data visualizations result from linear pipelines that st

70 Data visualization software has been used to profile org

71 rs, adults 18-64 years) using chi2 tests and data visualization software.

72 ools fall into five major application areas: data visualization, structure comparisons, similarity se

73 The KGraph is a data visualization system that has been developed to dis

74 s enables the de-coupling of complex network data visualization tasks into two distinct phases: 1) cr

75 s of 3D VizStruct, a novel multi-dimensional data visualization technique for analyzing patterns in S

76 s of 3D VizStruct, a novel multi-dimensional data visualization technique for SNP datasets capable of

77 statistical procedures with state-of-the-art data visualization techniques, NetworkAnalyst allows res

78 Additionally, our data visualization tool enables efficient exploration of

79 e Browser (DCB), an online interactive HTML5 data visualization tool for interacting with three of th

80 We present an interactive data visualization tool that allows broad access to our

81 the technology now exists to build a genomic data visualization tool that meets these requirements.

82 We designed an interactive spills data visualization tool to illustrate the value of havin

83 We developed a novel data visualization tool to provide an integrated view of

84 ions of pViz using two examples: a proteomic data visualization tool with an embedded viewer for disp

85 We developed genome data visualization toolkit (GDVTK) as an application fra

86 d Microsoft's PivotViewer software (iii) new data visualization tools and (iv) the interrelation of F

87 e among the most informative high-throughput data visualization tools capturing plate-wise and screen

88 rSegger provides a variety of postprocessing data visualization tools for single cell and population

89 Transcript data visualization tools include Quality Screening, Mult

90 to interoperate with other data analysis and data visualization tools such as Cytoscape.

91 e as an R/Bioconductor package that includes data visualization tools useful for bias discovery.

92 The integrated data visualization tools, faceted search infrastructure,

93 maps to serve as a scaffold for a variety of data visualization tools.

94 To improve data visualization, we added a Cytoscape Web view to our

95 ct type of clustering tendency, are used for data visualization, which increases the likelihood that