Multi-domain data search and retrieval: A service-oriented Life Science scenario

2011 ◽  
Author(s):  
Giorgio Ghisalberti ◽  
Marco Masseroli ◽  
Salvatore Vadacca
Keyword(s):  
Life Science ◽  
Data Search ◽  
Service Oriented ◽  
Search And Retrieval

Hochdurchsatz Analyse in den Biowissenschaften durch die Nutzung von Service Oriented Clustering (Proliferating High Throughput Analysis in Life Science by using Service Oriented Clustering)

2005 ◽  
Vol 47 (6) ◽  
Author(s):  
Ralf Reinhardt ◽  
Martin Blüggel ◽  
Christian Stephan ◽  
Helmut E. Meyer ◽  
Michael Kuhn ◽  
...  
Keyword(s):  
High Throughput ◽  
Life Science ◽  
Multiple Alignment ◽  
High Throughput Analysis ◽  
Throughput Analysis ◽  
Service Oriented

ZusammenfassungObwohl man Cluster erfolgreich für Aufgaben wie Protein Identifikation und multiple alignment einsetzt, sind sie dennoch selten Teil des Laboralltags. Hauptgrund ist die schlechte Integrationsfähigkeit aktueller Lösungen in den Arbeitsablauf. Das Konzept Dienste Orientierter Cluster soll dieses Problem beheben.

scholarly journals Database resources of the National Center for Biotechnology Information

2020 ◽  
Vol 49 (D1) ◽  
pp. D10-D17 ◽  
Author(s):  
Eric W Sayers ◽  
Jeffrey Beck ◽  
Evan E Bolton ◽  
Devon Bourexis ◽  
James R Brister ◽  
...  
Keyword(s):  
Pathogen Detection ◽  
Life Science ◽  
Biological Information ◽  
Online Resources ◽  
Sequence Database ◽  
The Past ◽  
Genome Data ◽  
Programming Interface ◽  
Blast Program ◽  
Search And Retrieval

Abstract The National Center for Biotechnology Information (NCBI) provides a large suite of online resources for biological information and data, including the GenBank® nucleic acid sequence database and the PubMed® database of citations and abstracts published in life science journals. The Entrez system provides search and retrieval operations for most of these data from 34 distinct databases. The E-utilities serve as the programming interface for the Entrez system. Custom implementations of the BLAST program provide sequence-based searching of many specialized datasets. New resources released in the past year include a new PubMed interface and NCBI datasets. Additional resources that were updated in the past year include PMC, Bookshelf, Genome Data Viewer, SRA, ClinVar, dbSNP, dbVar, Pathogen Detection, BLAST, Primer-BLAST, IgBLAST, iCn3D and PubChem. All of these resources can be accessed through the NCBI home page at https://www.ncbi.nlm.nih.gov.

The CM120 Biotwin: a high-contrast objective lens, optimum cryo-vacuum and improved EDX performance

1995 ◽  
Vol 53 ◽  
pp. 584-585
Author(s):  
Uwe Lücken ◽  
Michael Felsmann ◽  
Wim M. Busing ◽  
Frank de Jong
Keyword(s):  
Life Science ◽  
Focal Length ◽  
Objective Lens ◽  
High Contrast ◽  
Contrast Imaging ◽  
X Ray ◽  
Forming Mechanism ◽  
Similar Image ◽  
High Contrast Imaging ◽  
Low Concentrations

A new microscope for the study of life science specimen has been developed. Special attention has been given to the problems of unstained samples, cryo-specimens and x-ray analysis at low concentrations.A new objective lens with a Cs of 6.2 mm and a focal length of 5.9 mm for high-contrast imaging has been developed. The contrast of a TWIN lens (f = 2.8 mm, Cs = 2 mm) and the BioTWTN are compared at the level of mean and SD of slow scan CCD images. Figure 1a shows 500 +/- 150 and Fig. 1b only 500 +/- 40 counts/pixel. The contrast-forming mechanism for amplitude contrast is dependent on the wavelength, the objective aperture and the focal length. For similar image conditions (same voltage, same objective aperture) the BioTWIN shows more than double the contrast of the TWIN lens. For phasecontrast specimens (like thin frozen-hydrated films) the contrast at Scherzer focus is approximately proportional to the √ Cs.

X-ray mapping without STEM

1994 ◽  
Vol 52 ◽  
pp. 508-509
Author(s):  
Judith M. Brock ◽  
Max T. Otten
Keyword(s):  
Life Science ◽  
Materials Science ◽  
Chemical Elements ◽  
Full Description ◽  
Scanning System ◽  
Elemental Distribution ◽  
X Ray ◽  
Transmission Electron ◽  
Distribution Of Elements ◽  
Made In

A knowledge of the distribution of chemical elements in a specimen is often highly useful. In materials science specimens features such as grain boundaries and precipitates generally force a certain order on mental distribution, so that a single profile away from the boundary or precipitate gives a full description of all relevant data. No such simplicity can be assumed in life science specimens, where elements can occur various combinations and in different concentrations in tissue. In the latter case a two-dimensional elemental-distribution image is required to describe the material adequately. X-ray mapping provides such of the distribution of elements.The big disadvantage of x-ray mapping hitherto has been one requirement: the transmission electron microscope must have the scanning function. In cases where the STEM functionality – to record scanning images using a variety of STEM detectors – is not used, but only x-ray mapping is intended, a significant investment must still be made in the scanning system: electronics that drive the beam, detectors for generating the scanning images, and monitors for displaying and recording the images.

Industrielle Ausrichtung - Life Science: ein neuer Studiengang am Rande der Medizin

2006 ◽  
Vol 32 (10) ◽  
pp. 468-468
Author(s):  
Anne Kaufhold ◽  
Ulrich Rendenbach
Keyword(s):  
Life Science
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