ライフサイエンスコーパス: data retrieval

1 vices, BioMart and MOLGENIS technologies for data retrieval.

2 ratigraphic resolution and paleoceanographic data retrieval.

3 ial genomes and allows for a wide variety of data retrievals.

4 with controlled vocabularies, and improving data retrieval, analysis and visualization tools.

5 web-based user interface was implemented for data retrieval, analysis and visualization.

6 strain catalogue information and provides a data retrieval, analysis, and visualization system of mi

7 New developments, the submission process, data retrieval and access to support are presented in th

8 The tool has multiple data retrieval and analysis options.

9 and end users' data demands, and to optimize data retrieval and analysis to facilitate users' researc

10 ArrayDB provides varied options for data retrieval and analysis tools that should facilitate

11 DGET provides a flexible tool for expression data retrieval and analysis with short or long lists of

12 re in MG-RAST provide limited capability for data retrieval and analysis, such as comparative analysi

13 RS has become an integration system for both data retrieval and applications for data analysis.

14 ination in the evolution of HBV, large-scale data retrieval and automated phylogenetic analysis (Tree

15 ectronic health record, clinician laboratory data retrieval and communication during ICU rounds at ou

16 ) is using this technology to provide robust data retrieval and data analysis mechanisms to the scien

17 ercoming the limit of enforced co-expression data retrieval and instead enabling the return of more c

18 of the central problems in bioinformatics is data retrieval and integration.

19 e JEnsembl API implementation provides basic data retrieval and manipulation functionality from the C

20 RS has become an integration system for both data retrieval and sequence analysis applications.

21 The database should provide DNA barcodes for data retrieval and similarity search.

22 e performance of data warehouses in terms of data retrieval and statistical processing.

23 It provides pathway data retrieval and visualization and enables automatic c

24 ficient user interface for easy and flexible data retrieval; and (v) implementation of on-the-fly seq

25 We propose a method for non-sequence data retrieval based on sequence similarity, which remov

26 he text-based search implementation supports data retrieval by any combination of these data fields:

27 eb application, so submission, searching and data retrieval can all be performed using an internet br

28 atabase continues to offer submission tools, data retrieval facilities and user support.

29 otein Data Bank (PDB) that allows search and data retrieval for a wide range of result types, includi

30 ent, GenBank submission, process control and data retrieval from a unified web interface that can be

31 All methods of data contribution and data retrieval fully support the new data types that hav

32 Data retrieval included status of retinopathy (including

33 e web-based services provide tools for rapid data retrieval, integration and comparison of biological

34 However, VCF files are large and data retrieval is relatively slow.

35 sier data sharing, mining, visualization and data retrieval of cotton research data.

36 CellMiner tools allowed rapid data retrieval of transcripts for 22,379 genes and 360 m

37 ompressed manner and can be indexed for fast data retrieval of variants from a range of positions on

38 n 6 DB method for AOD provided more reliable data retrievals over California's bright surface areas t

39 It consists of four major procedures: NGS data retrieval, preprocessing, topic modeling, and data

40 NCBI data retrieval resources include Entrez, PubMed, LocusLi

41 NCBI data retrieval resources include Entrez, PubMed, LocusLi

42 NCBI data retrieval resources include Entrez, PubMed, LocusLi

43 Data retrieval services are being provided through a new

44 This comprises data retrieval services for specific functional annotati

45 In addition, a fast and flexible data retrieval system, EnsMart, has been developed.

46 or Biotechnology Information (NCBI) provides data retrieval systems and computational resources for t

47 Because all analytical and data retrieval tasks are executed by volunteer machines,

48 g technologies that enhance connectivity and data retrieval, these advances should help to create a p

49 lso been integrated with other searching and data retrieval tools.

50 ser-friendly web-based database searches and data retrieval/visualization tools, as well as a wide va